Secure IPC (Inter-Process Communication) Between Anti-Cheat Service and Game Client: Competitive Benchmark Analysis and Hardware Interactions

[Logan Wilson]

I’ve been benching IPC latency between our anti-cheat service and the game client using encrypted shared memory with named pipe authentication, and I’m hitting some real frametime inconsistencies at 1080p low-settings—essentially the CPU-bound regime where every microsecond matters. Before I push this into a wider test build, I want to hear from people who’ve actually run token impersonation protection in production. How are you all handling the impersonation token lifecycle without spiking your 1% lows? Specifically, does anyone cache the impersonation context per-session, or are you re-impersonating each time the service reads a shared memory block?

On the performance side, I’m measuring frametime consistency across a few CPUs and seeing wildly different scaling depending on whether we use ReadProcessMemory versus mapped shared memory. Are folks seeing the anti-cheat’s polling interval bottleneck at the driver level, or is it mostly kernel-mode context-switch overhead? And for anyone stress-testing on higher core counts—does the IPC throughput actually scale linearly, or do you hit diminishing returns past a certain number of cores? Curious what real-world data looks like outside of controlled benchmarks.

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[Nathan Torres]

For the IPC channel itself, I’d strongly steer away from anything that trusts the game client for authentication—named pipes and loopback sockets are convenient but they’re trivially spoofable by anyone running in the same session. The cleanest approach is a kernel-mode miniport or a user-mode service that both processes talk to via a shared-memory region with a validated handshake, using a per-session nonce and message integrity checks (think an HMAC keyed off a value only the anti-cheat driver can read). Since the anti-cheat typically runs at ring 0 and the client at ring 3, keep the security boundary explicit: the game should never be able to forge a “clean” verdict, and every message should carry a sequence number plus timestamp to reject replays and detect stale reads. If you’re using memory-mapped files, pin the shared section with a documented memory barrier protocol so the client doesn’t read a torn or partially written buffer.

From a competitive performance standpoint, the overhead here matters more than people realize. Shared memory with zero-copy reads is the lowest-latency option, but you’ll still pay for context switches and

"benchmark: 3DMark Time Spy Graphics: 28,450 | CPU: 14,210 | 100% Stable"

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