Host Intrusion Detection System
System Analysis
Normal Behavior
Leverages lightweight eBPF kernel probes or auditd event hooks to capture process spawns, file modifications, and privilege transitions, streaming structured security telemetry to centralized SIEM collectors with under 2% CPU overhead.
Failure Behavior
An unthrottled File Integrity Monitoring (FIM) scan initiates a recursive cryptographic hash over multi-terabyte production database mounts during peak I/O hours, completely saturating disk IOPS and inducing severe host-wide latency timeouts.
Business Consequence
Inefficient eBPF hook processing or excessive auditd logging saturates kernel CPU cycles; production workloads suffer severe I/O starvation and latency spikes, turning a security observability tool into a self-inflicted denial of service mechanism.
Visual Manifestation
"Kernel CPU time (sys CPU) spikes significantly on all nodes, while application response times degrade and telemetry queues back up."
Satirical Behavior
"A neighborhood watch that installs so many cameras and asks so many questions that nobody can actually leave their driveway."
Known Aliases
Technical Terminology
Failure Indicators
System Architecture (Graph)
FAQ
How does it normally behave?
Leverages lightweight eBPF kernel probes or auditd event hooks to capture process spawns, file modifications, and privilege transitions, streaming structured security telemetry to centralized SIEM collectors with under 2% CPU overhead.
How does it fail?
An unthrottled File Integrity Monitoring (FIM) scan initiates a recursive cryptographic hash over multi-terabyte production database mounts during peak I/O hours, completely saturating disk IOPS and inducing severe host-wide latency timeouts.
What is the business consequence?
Inefficient eBPF hook processing or excessive auditd logging saturates kernel CPU cycles; production workloads suffer severe I/O starvation and latency spikes, turning a security observability tool into a self-inflicted denial of service mechanism.
How do legacy kernel-module HIDS agents destabilize host operating systems compared to modern eBPF-based agents?
Traditional HIDS agents injected custom out-of-tree kernel modules or hooked syscall tables directly. When minor OS kernel updates modified internal structures, these agents triggered kernel panics, memory corruptions, or race conditions that crashed production servers. Modern HIDS solutions utilize extended Berkeley Packet Filter (eBPF), which runs sandboxed programs verified by the Linux kernel in-kernel verifier, guaranteeing memory safety without risks of crashing the host OS.
How should File Integrity Monitoring (FIM) exclusion rules be configured to avoid alert fatigue in dynamic containerized environments?
FIM rules must strictly ignore high-frequency volatile directories such as /proc, /sys, /tmp, container overlay storage paths, and application log directories. Integrity checks must be cryptographically pinned exclusively to immutable system paths (/usr/bin, /lib64), security configs (/etc/pam.d, /etc/sudoers, /etc/ssh), and kernel parameters, utilizing rate-limited ring buffers to throttle event surges.
Explore the system
AI Summary
Host Intrusion Detection System is a SECURITY_IDENTITY_AND_TRUST system in TinyCTO.tv. Leverages lightweight eBPF kernel probes or auditd event hooks to capture process spawns, file modifications, and privilege transitions, streaming structured security telemetry to centralized SIEM collectors with under 2% CPU overhead.