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SignalR

ASP.NET Core SignalR is an open-source library developed by for building real-time web applications using . It enables server-to-client, client-to-server, and client-to-client communication over the web, allowing server-side code to push content updates instantly to connected clients without requiring them to poll the server repeatedly. SignalR abstracts the differences between various transport protocols, automatically selecting the most efficient one supported by the client and server, including WebSockets for low-latency bidirectional communication, for server-to-client streaming, and Long Polling as a fallback for broader compatibility. The library supports multiple client platforms, such as , .NET, and , and provides built-in protocols like for text-based messaging and for more compact binary serialization. Originally introduced as ASP.NET SignalR in 2013 for traditional applications, the library evolved with the version released in May 2018 as part of ASP.NET Core 2.1, offering improved performance, cross-platform support on Windows, , and macOS, and better scalability. Key features include hubs for defining server-side methods that clients can invoke, strong typing for better development experience, and integration with in ASP.NET Core. For large-scale deployments, SignalR pairs with SignalR Service, a fully managed service that handles connection management, scaling, and persistence across multiple server instances. Common use cases encompass collaborative tools like applications, live dashboards, , and notification systems, making it a foundational technology for interactive web experiences.

History

Origins

SignalR was introduced in 2011 by as an open-source library for , designed to simplify the addition of functionality to applications through asynchronous signaling and persistent connections. The project began as a side initiative within the team, hosted on to foster community involvement and rapid iteration. The primary motivation behind SignalR's development was to overcome the inefficiencies of traditional HTTP polling mechanisms, which were inadequate for enabling responsive, multi-user experiences in web applications such as live chat systems, real-time notifications, and dynamic updates like stock tickers. At the time, developers faced challenges in implementing bidirectional communication over the web, particularly with varying browser support for emerging technologies like WebSockets, prompting the need for a unified that could fallback to compatible transports. This approach allowed for scalable, low-latency interactions without requiring constant client-initiated requests. Key early contributors included David Fowler and Damian Edwards, both from the Microsoft ASP.NET team, who led the initial design and implementation as a personal side project that gained official support. SignalR was released under the Apache 2.0 license to encourage broad adoption and contributions, and it integrated seamlessly with frameworks to leverage existing server-side patterns for features. The library's first public exposure came through early demos and the open-source repository in 2011, marking a shift toward capabilities in Microsoft's ecosystem.

Versions and Evolution

SignalR 1.0 was released in August 2012, providing initial support for .NET Framework 4.0 and introducing core real-time communication features via transports like WebSockets and long polling. The 2.x series, spanning from 2013 to 2018, brought significant enhancements to the Hubs API, including improved proxy generation for better client-server interaction and robust scale-out capabilities using backplanes like and SQL Server to distribute messages across multiple server instances. In 2018, SignalR transitioned to with version 1.0, released as part of 2.1 and integrated into .NET Core 2.1, marking a complete rewrite for cross-platform compatibility while introducing features like automatic reconnection logic in subsequent .NET Core 3.0+ updates and support for and protocols. This shift deprecated the older PersistentConnection model in favor of the streamlined Hubs-only approach in versions, eliminating legacy components like GlobalHost and the HubPipeline module to simplify architecture. Ongoing evolution aligned SignalR with .NET releases, such as .NET 8 in November 2023, which enhanced handling through stateful reconnects to minimize client disruptions during network interruptions and added monitoring for inbound circuit activity. In .NET 9, released in November 2024, further improvements included polymorphic type support for methods, enhanced diagnostics and using ActivitySource for invocations, support for trimming and Native AOT compilation, and automatic compression to reduce usage. Key architectural changes included moving from the OWIN pipeline in classic to the default server in , enabling lighter-weight, cross-platform hosting. Improved support emerged in SignalR via the official package (@microsoft/signalr), facilitating stronger typing and integration with modern build tools like for client-side development. As of 2025, SignalR remains fully integrated into 8 and later (up to 9.0), with no standalone major releases since 2021, as updates are now bundled with the broader .NET ecosystem for seamless functionality.

Overview

Purpose

SignalR is a designed to enable , bidirectional communication between servers and clients over the , allowing server-side code to push updates to connected clients instantaneously without relying on client-initiated polling requests. This approach significantly reduces and overhead compared to traditional polling mechanisms, where clients repeatedly query the for changes. By facilitating persistent , SignalR supports scenarios requiring immediate , such as live notifications, auction bidding systems, and monitoring tools. The primary benefits of SignalR lie in its simplification of development for interactive applications, including collaborative environments like shared documents, multiplayer sessions, and dynamic dashboards that update with from sources such as tickers or feeds. Developers can implement these features using a straightforward that handles connection lifecycle management, message broadcasting to individual clients, groups, or all connected users, thereby streamlining the creation of responsive user experiences without manual transport configuration. This conceals the underlying complexities of various communication protocols, automatically selecting and falling back between options like WebSockets, , or long polling based on browser and network capabilities, ensuring seamless operation across diverse environments. SignalR maintains broad compatibility with modern browsers and devices, including support for , .NET, and other client SDKs, without necessitating plugins or specific hardware requirements, as it leverages standard web technologies. Its open-source foundation, hosted on under the , fosters community contributions and enhancements, with ongoing development integrated into the ecosystem to address evolving needs. Hubs serve as the core abstraction for defining these communication patterns in a model resembling remote procedure calls.

Core Components

SignalR's core components form the foundational elements that enable , bidirectional communication between clients and servers in applications. At the heart of this system is the , a high-level that serves as the primary interface for defining and invoking s across the client-server boundary. A Hub is implemented as a deriving from the Hub base class, allowing developers to expose public methods that clients can call on the , while the server can invoke methods on connected clients using strongly-typed parameters serialized via protocols like or . This bidirectional (RPC) mechanism simplifies the development of interactive features, such as live updates in chat applications or collaborative tools, by abstracting away low-level transport details. For instance, a method might broadcast a message to all clients, as shown in the following example:
csharp
public class ChatHub : Hub
{
    public async Task SendMessage(string user, string message)
    {
        await Clients.All.SendAsync("ReceiveMessage", user, message);
    }
}
This code defines a SendMessage method callable by clients, which in turn invokes the ReceiveMessage method on all connected clients. Connections represent the persistent sessions between clients and the SignalR server, each assigned a unique identifier to facilitate stateful interactions and targeted messaging. SignalR manages these connections automatically, handling establishment, maintenance, and disconnection events through virtual methods like OnConnectedAsync and OnDisconnectedAsync in the Hub class. The connection ID, accessible via Context.ConnectionId, ensures that messages can be routed precisely, supporting scenarios where the server needs to address specific clients without relying on user identities alone. This unique identifier enables reliable delivery in real-time applications, where high-frequency updates must reach the intended recipients without duplication or loss. The Hub Context provides essential runtime information and capabilities for managing interactions within a Hub method, including access to the current connection's details, user identity, and grouping mechanisms. Through properties like Context.User for details, Context.ConnectionId for session tracking, and Context.Groups for adding or removing connections from named groups, developers can implement fine-grained message targeting, such as sending updates to specific users or broadcast channels. This context object is integral to the 's lifecycle, allowing methods to query and manipulate connection states dynamically, thereby supporting complex routing logic without external storage in basic setups. For example, a Hub method might add the current connection to a group for room-based notifications:
csharp
public async Task JoinRoom(string roomName)
{
    await Groups.AddToGroupAsync(Context.ConnectionId, roomName);
    await Clients.Group(roomName).SendAsync("UserJoined", Context.User.Identity.Name);
}
Such operations leverage the to maintain session awareness and enable scalable, context-aware communication. is the initial handshake phase that occurs when a client attempts to connect, where the server evaluates available transports and responds with the optimal one supported by both parties, such as WebSockets if feasible or falling back to alternatives like . This process begins with an HTTP request from the client to the server's negotiate , which returns details including the selected transport, connection token, and protocol settings. By automating transport selection, ensures compatibility and performance optimization from the outset, minimizing latency in scenarios while gracefully handling constraints. SignalR's implementation relies on dedicated libraries for both and client sides to abstract the underlying protocols and facilitate cross-platform . On the , the core functionality is provided through the Microsoft.AspNetCore.SignalR package, integrated into applications via and configuration. Client-side support includes SDKs such as the client for web browsers (compatible with modern browsers like , , , and ), the .NET client for applications on platforms supporting (including .NET MAUI for mobile), the client for or other JVM environments (requiring 8+), and the client for iOS/macOS (Swift 5.10+). These libraries handle , lifecycle, and , allowing developers to use a consistent across diverse environments while supporting both and binary protocols for efficiency.

Architecture

Transports

SignalR supports multiple underlying transport protocols to enable communication between clients and servers, automatically selecting the most suitable one based on browser capabilities, server configuration, and network conditions. These transports provide fallback mechanisms to ensure compatibility across diverse environments, with the library prioritizing efficient, low-latency options when available. WebSockets serve as the preferred transport in SignalR, offering full-duplex, bidirectional communication over a single connection, which minimizes latency and overhead for applications. This protocol is supported in modern browsers and servers, enabling efficient streaming of messages in both directions without the need for repeated HTTP requests. In SignalR, WebSockets are the default choice when the client and server both support it, providing optimal performance for scenarios requiring low-latency interactions such as live updates or chat applications. Server-Sent Events () provide a unidirectional transport from server to client, leveraging HTTP to allow the server to push updates continuously over a persistent . is particularly useful in environments where WebSockets are unavailable but modern browser support exists, as it avoids the overhead of full bidirectional setup while maintaining reasonable efficiency for one-way data streams like notifications or progress reports. In SignalR, acts as a fallback to WebSockets, offering better performance than polling methods for server-initiated communications, though it lacks client-to-server messaging without additional HTTP requests. Long polling functions as a reliable fallback transport, where the client initiates an HTTP request that the server holds open until new data is available or a timeout occurs, after which the process repeats. This method ensures compatibility with older browsers and restricted networks that block WebSockets or , though it introduces higher due to the repeated establishment of connections and increased server load from frequent requests. In both SignalR and SignalR, long polling is the ultimate fallback, suitable for legacy environments but less efficient for high-frequency updates compared to native protocols. Forever Frame, an older transport specific to , utilized a hidden to maintain a persistent connection for server-to-client communication by appending script tags to the response stream. This method was designed for environments lacking native support for more advanced protocols but has been deprecated and removed in SignalR in favor of more standardized options. It offered a for real-time updates in browsers but suffered from limitations like one-way communication and potential compatibility issues with modern web standards. SignalR's transport negotiation process begins with the client sending a request to the , which responds with supported transports based on ; the client then attempts connections in order of preference—typically WebSockets first, followed by , long polling, and legacy options like Forever Frame in older versions—falling back automatically if a transport fails due to unsupported features or network restrictions. This logic ensures seamless connectivity without manual intervention, with developers able to restrict transports via options like HttpTransportType enums on the or client. Performance trade-offs among transports highlight WebSockets' superiority in and for full-duplex scenarios, making it ideal for interactive applications, whereas SSE provides a balanced option for unidirectional streams with moderate overhead. Long polling and Forever Frame, while ensuring broad , incur higher and CPU usage due to polling cycles and overhead, rendering them less suitable for high-scale or low-latency needs but essential for fallback in constrained environments.

Connection Models

SignalR provides two primary connection models for enabling communication: the Hubs model and the Persistent Connections model. The Hubs model, which is the recommended and primary approach in SignalR, facilitates (RPC)-style method invocation between servers and clients, allowing bidirectional communication through strongly typed methods. In contrast, Persistent Connections represent a lower-level from earlier versions of SignalR, offering custom message handling but considered legacy in , where it has been removed in favor of Hubs for most scenarios. In the Hubs model, developers define a hub class that inherits from the base class, enabling clients to invoke public methods on the server and the server to invoke methods on connected clients via the Clients object. For example, a client can call a server method like SendMessage(string message), which processes the request and broadcasts responses to specific clients, groups, or all connections using invocations such as Clients.All.SendAsync("ReceiveMessage", message). This model abstracts the underlying transports, providing a high-level for features like live updates in web applications. Groups in SignalR allow logical grouping of connections for efficient broadcasting, such as in chat rooms or notification systems, where messages are sent to all members of a named group without targeting individual . can be added to or removed from groups dynamically using methods like AddToGroupAsync(string groupName) and RemoveFromGroupAsync(string groupName) within hub methods or lifecycle events, with group names being case-sensitive and membership not automatically persisted across server restarts or reconnections. Similarly, the Users feature maps multiple to a single authenticated , enabling targeted messaging to all of a user's devices—such as a desktop and —via Clients.User(userId).SendAsync("Method", data), where the default derives from the ClaimsPrincipal in the connection context. The lifecycle in SignalR includes key events that developers can override in the hub class to manage state during connection establishment, disconnection, and reconnections. The OnConnectedAsync executes when a client connects, allowing actions like adding the connection to a group, while OnDisconnectedAsync(Exception exception) handles disconnections, including any exceptions, and supports cleanup tasks. SignalR incorporates built-in retry logic for reconnections, automatically attempting to re-establish the connection upon transient failures, though group and mappings must be re-applied manually on reconnect since they are not preserved by default. State management in SignalR is handled in-memory by default on the , storing connection details, groups, and user mappings per instance, which supports efficient access during active sessions but requires and external storage solutions—like Redis backplanes—for persistence in distributed environments. This in-memory approach ensures low-latency operations for single- setups, with developers able to custom objects for transmission or storage as needed.

Implementation

Server-Side

To implement SignalR on the server side in applications, the first step is to install the Microsoft.AspNetCore.SignalR package, which provides the necessary libraries for building real-time functionality. This package can be added to an existing project via the Package Manager Console with the command Install-Package Microsoft.AspNetCore.SignalR or through the Package Manager in , ensuring compatibility with the targeted .NET version, such as .NET 10.0. Once installed, developers can proceed to define hubs, which serve as the central components for handling client connections and method invocations. A SignalR hub is created by defining a class that inherits from the Hub base class in the Microsoft.AspNetCore.SignalR namespace. This inheritance enables the hub to manage persistent connections and broadcast messages to clients. For example, a basic hub might include an asynchronous method to send messages, as shown below:
csharp
using Microsoft.AspNetCore.SignalR;

public [class](/page/Class) ChatHub : [Hub](/page/Hub)
{
    public async Task SendMessage(string user, string message)
    {
        await Clients.All.SendAsync("ReceiveMessage", user, message);
    }
}
This method uses Clients.All to invoke the ReceiveMessage action on all connected clients, facilitating updates. Hub methods are typically marked as public and async Task to align with SignalR's asynchronous communication model, allowing scalable handling of multiple concurrent requests without blocking the server. To integrate the hub into the application, register SignalR services in the () container during application startup. In a minimal API setup using Program.cs (common in .NET 6 and later), add builder.Services.AddSignalR(); to enable resolution and options. This registration allows the DI container to inject dependencies, such as loggers or services, into constructors—for instance, public ChatHub(ILogger<ChatHub> logger) { _logger = logger; }. Additional options can be specified, like builder.Services.AddSignalR(options => { options.EnableDetailedErrors = true; }); to control error propagation during development. Next, map the hub endpoint to a specific route in the middleware pipeline, typically within the app configuration in Program.cs. Use app.MapHub<ChatHub>("/chatHub"); to expose the hub at the /chatHub path, where clients can negotiate and establish connections. This mapping integrates seamlessly with the routing system and supports transport-specific options, such as restricting to WebSockets via options.Transports = HttpTransportType.WebSockets. Placement after other middleware like ensures proper request processing. For applications serving cross-origin clients, such as web apps hosted on different domains, integrate CORS middleware to permit SignalR connections. Configure a named policy in the DI container with builder.Services.AddCors(options => { options.AddPolicy("SignalRPolicy", policy => { policy.WithOrigins("https://example.com").AllowAnyMethod().AllowAnyHeader().AllowCredentials(); }); });, then apply it globally or to the hub route with app.UseCors("SignalRPolicy"); before mapping the hub. This setup allows methods like GET and POST for negotiation and invocation while restricting origins to trusted domains, mitigating security risks from unauthorized access. Error handling in hub methods involves wrapping logic in try-catch blocks to manage exceptions gracefully and prevent connection disruptions. For custom errors, throw a HubException—e.g., throw new HubException("Invalid message format.");—which serializes only the message to clients without exposing sensitive details like stack traces. Integrate logging by injecting ILogger<T> into the hub and using it within methods, such as _logger.LogError(ex, "Error in SendMessage for user {User}", user); to record issues for diagnostics. Enabling detailed errors globally via options aids debugging but should be disabled in production to avoid information disclosure.

Client-Side

The of SignalR enables applications to establish connections to SignalR hubs hosted on the , facilitating bidirectional communication through supported SDKs. These clients abstract the underlying protocols, allowing developers to invoke methods and receive notifications without managing low-level details like WebSockets or long polling. SignalR provides official client libraries for various platforms, ensuring compatibility with servers across versions. For web applications, the client library, distributed as @microsoft/signalr via or CDN, is the primary option. Installation involves adding the package with npm install @microsoft/signalr and referencing the signalr.js file in . Connections are built using the HubConnectionBuilder class, specifying the hub endpoint such as /chathub, and optionally configuring levels. For example:
javascript
const connection = new signalR.HubConnectionBuilder()
    .withUrl("/chathub")
    .configureLogging(signalR.LogLevel.Information)
    .build();
Starting the asynchronously with await connection.start() establishes the link to the . can be integrated by providing headers or access tokens via .withUrl("/chathub", { accessTokenFactory: () => token }). To invoke methods, clients use connection.invoke("MethodName", arg1, arg2), which returns a resolving to the server's response or rejecting on errors. Receiving involves registering handlers with connection.on("EventName", (arg1, arg2) => { /* handle */ }), enabling updates like messages. Reconnection is handled automatically by adding .withAutomaticReconnect(), which implements with default delays of 0, 2, 10, and 30 seconds over four attempts; custom delays or manual retries in the onclose event can be configured for robustness. The .NET client, suitable for web apps, desktop applications, or other .NET-based clients, is installed via with Install-Package Microsoft.AspNetCore.SignalR.Client. It follows a similar for connections:
csharp
var connection = new HubConnectionBuilder()
    .WithUrl("https://example.com/chathub")
    .Build();
await connection.StartAsync();
Headers for , such as bearer tokens, are added using .AddMessageHandler or access token callbacks. Method invocation mirrors the JavaScript approach with await connection.InvokeAsync("SendMessage", user, message), supporting typed parameters and returning Task-based results. Event handling uses connection.On<T1, T2>("ReceiveMessage", (user, message) => { /* update UI */ }) to respond to server broadcasts. Automatic reconnection is enabled via .WithAutomaticReconnect(), with configurable retry intervals and event handlers like Reconnecting and Reconnected for or state restoration, ensuring persistent s in dynamic environments like . SignalR also offers SDKs for mobile platforms to extend real-time features beyond web and .NET. The client, targeted at apps, is added via (implementation 'com.microsoft.signalr:signalr:10.0.0') or , using HubConnectionBuilder.create(url).build() for connections and hubConnection.send("Method", args) for invocations, with on for events; it supports WebSockets but lacks built-in reconnection, requiring manual implementation. Similarly, the client for , requiring Swift 5.10+, integrates via Swift Package Manager from (https://github.com/dotnet/signalr-client-swift), employing HubConnectionBuilder().withUrl("https://server/hub").build() for setup, invoke(method:arguments:) for calls, and on closures for events, including automatic reconnection with customizable backoff arrays like [0, 2, 10]. These SDKs maintain protocol compatibility with the core SignalR specification, allowing seamless integration across ecosystems.

Advanced Features

Scalability

SignalR scalability extends beyond single-server deployments by implementing scale-out architectures that distribute connections and messages across multiple servers, enabling handling of high-load scenarios with thousands to millions of concurrent clients. This is achieved primarily through backplanes, which facilitate message broadcasting and synchronization in load-balanced environments. Horizontal scaling is recommended, where additional servers are added to share the load, rather than vertically scaling a single instance. A key technique for scale-out involves using backplanes such as or SignalR Service to enable pub/sub messaging patterns for hub invocations. In a backplane, servers publish messages to a shared channel, and subscribers on other servers receive and forward them to connected clients, ensuring broadcasts reach all relevant connections regardless of the originating server. This setup requires sticky sessions (session affinity) at the load balancer to route a client's requests to the same server, preventing connection disruptions. Configuration involves installing the Microsoft.AspNetCore.SignalR.StackExchangeRedis package and registering it in the application's service collection with a connection string. is recommended for on-premises or same-data-center deployments due to low requirements, and it supports clustering for without application changes. Azure SignalR Service provides a fully managed alternative, offloading connection management and message routing to the cloud , which eliminates the need for sticky sessions and simplifies . It acts as a , allowing the to focus on while the handles persistent connections, automatically based on message volume and connection counts to support global distribution across multiple regions. involves configuring the endpoint in the application's SignalR setup, with tiers like offering auto-, higher SLAs, and features such as for enterprise workloads. This can scale to millions of concurrent connections, making it ideal for Azure-hosted applications requiring low-latency global reach. Connection limits on a single server are primarily constrained by system resources like available TCP ports and memory, with persistent connections potentially exhausting these if not monitored; horizontal scaling via backplanes is thus essential for exceeding per-server capacities, such as handling over 100,000 connections in production by distributing across multiple instances. Performance monitoring is crucial, with key metrics including active connection counts, message throughput (messages per second), and latency to detect bottlenecks early. Tools like Azure Monitor can track these for Azure SignalR Service, alerting on thresholds like connection throttling or high message rates. Limitations in arise from stateful operations, as SignalR connections are inherently tied to individual servers; without a , messages cannot cross servers, and in-hub state (e.g., user groups or connection-specific data) must be avoided or offloaded to like or databases to maintain consistency during scale-out. For instance, group management should use persistent storage rather than in-memory caches to ensure operations propagate correctly across the farm. Additionally, Redis backplanes lack message buffering, so downtime can lead to lost broadcasts, and throughput may degrade in large clusters.

Security

SignalR provides robust mechanisms for securing real-time communications in applications, emphasizing , , and transport-level protections to mitigate common web vulnerabilities. is integrated at the connection establishment phase and throughout message exchange, ensuring that only authenticated and authorized users can access hubs and invoke methods. Developers must configure these features alongside general security practices to protect against threats like unauthorized access, data interception, and denial-of-service attacks. Authentication in SignalR leverages ASP.NET Core's built-in authentication , allowing seamless integration with providers such as for user management. Connections are associated with a user upon establishment, accessible within hubs via the HubCallerContext.User property, which provides claims and roles for subsequent operations. For token-based scenarios, Web Tokens (JWT) can be passed securely via query strings (e.g., ?access_token=...) for and transports, or through headers for .NET and clients using AccessTokenProvider. This approach ensures tokens are validated during negotiation, with best practices including token renewal via factories like accessTokenFactory in clients to handle expiration without disrupting connections. Enabling CloseOnAuthenticationExpiration further secures sessions by automatically terminating expired connections. Authorization builds on authentication by restricting access to specific hub methods or entire hubs using the [Authorize] attribute from Microsoft.AspNetCore.Authorization. Applied at the class level, it enforces authentication for all methods; at the method level, it targets individual invocations. Role-based access is supported through parameters like [Authorize(Roles = "Admin,Manager")], ensuring only users in specified roles can execute protected operations, integrated directly with ASP.NET Identity's role claims. Custom policies can be defined for finer control, evaluated via AuthorizationHandler<HubInvocationContext> to inspect connection details and enforce dynamic rules, such as verifying user-specific permissions before broadcasting messages. This attribute-based model aligns with ASP.NET Core's policy system, promoting consistent security across the application. Transport security is critical for protecting , with SignalR mandating the use of to encrypt connections and prevent man-in-the-middle attacks that could intercept access tokens or messages. Without , query string tokens become vulnerable to exposure in logs or network traces, compromising authentication. Configuration involves enforcing redirection in the pipeline and verifying certificate validity, ensuring for all supported transports including WebSockets. Message validation safeguards against injection attacks during dynamic hub invocations, where clients specify method names and parameters at runtime. Developers must sanitize all incoming inputs within methods using techniques like parameter binding with validation attributes (e.g., [FromBody] with model validation) and libraries such as HtmlEncoder for any string outputs to prevent . SignalR's or protocols do not inherently sanitize payloads, so explicit checks for expected types and lengths are essential to block malicious payloads that could execute unintended code or escalate privileges. Cross-site request forgery (CSRF) protection in SignalR relies on its connection model, which makes forgery unlikely for authenticated sessions, particularly with WebSockets that establish persistent, origin-validated channels. For fallback transports like long polling, which use POST requests, CSRF is mitigated through CORS policies requiring credentials (e.g., WithCredentials: true in clients) and origin restrictions to trusted domains only, preventing unauthorized cross-origin initiations. Anti-forgery tokens are not directly applied to SignalR endpoints but can be integrated via custom for non-WebSocket scenarios if cookie-based is used, aligning with ASP.NET Core's synchronizer token pattern. Common vulnerabilities, such as denial-of-service from excessive connections, are addressed through resource limits and monitoring. SignalR enforces default buffer sizes of 32 KB per message (ApplicationMaxBufferSize and TransportMaxBufferSize) to curb exhaustion from oversized payloads, with warnings against disabling these limits as they enable attackers to flood servers. Connection throttling can be implemented via to cap concurrent users per or globally, while avoiding exposure of ConnectionId values prevents impersonation-based abuse. In high-load environments, integrating with SignalR Service adds upstream protections like IP allowlisting, but core DoS mitigation remains at the application level.

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