Glossary
Glossary
Key terms and concepts used throughout HookProbe documentation.
A
AEGIS
Adaptive Endpoint Guardian with Intelligent Security. HookProbe’s AI orchestrator with 8 specialized agents for autonomous threat response and plain-English security explanations.
AGPL
GNU Affero General Public License. Open source license used for HookProbe’s open components.
B
BLS Signatures
Boneh-Lynn-Shacham signatures. Cryptographic signatures that can be aggregated, used in DSM consensus.
Byzantine Fault Tolerance (BFT)
Ability to reach consensus even when some participants are malicious. DSM tolerates f=(n-1)/3 Byzantine validators.
C
Checkpoint
Aggregation of microblocks into a signed summary at the end of each epoch. Contains Merkle root and BLS aggregate signature.
Collective Defense
Security model where one node’s detection protects all nodes in the mesh.
D
dnsXai
HookProbe’s AI-powered DNS classification system. Uses ML to categorize and block malicious domains.
DSM
Decentralized Security Mesh. Byzantine fault-tolerant consensus protocol for collective threat intelligence.
E
Edge Node
HookProbe deployment at the network edge (Sentinel, Guardian, or Fortress).
Epoch
Time period for DSM consensus (default 5 minutes). Microblocks are aggregated into checkpoints at epoch boundaries.
eBPF
Extended Berkeley Packet Filter. Linux kernel technology for programmable packet processing.
F
Fortress
HookProbe product tier for business networks. 4GB RAM, VLAN segmentation, NAPSE IDS/NSM/IPS.
G
Gossip Protocol
Protocol for propagating microblocks and mesh state between nodes.
Guardian
HookProbe product tier for travel/home. 1.5GB RAM, WiFi hotspot, L2-L7 detection.
H
Hardware Fingerprint
Unique device identifier derived from CPU, MAC, disk, and other hardware characteristics.
HTP
HookProbe Transport Protocol. UDP-based secure transport with weight-bound session keys.
Hot Shot Mode
Power and performance preference system for edge deployments.
L
Layer Detector
Multi-layer threat detection from L2 to L7.
M
Mesh
The global HookProbe network of interconnected edge and validator nodes.
Microblock
Security event record created by edge nodes. Signed with TPM/PoSF and propagated via gossip.
N
NAPSE
Neural Adaptive Packet Synthesis Engine. HookProbe’s proprietary unified IDS/NSM/IPS engine with 3-layer architecture (eBPF kernel fast path, Rust protocol engine, Python event synthesis) optimized for edge devices.
Neural Fingerprint
Compact (~256 byte) representation of attack behavior. Shared in mesh without raw data.
NEURO
Neural Resonance Protocol. Living cryptography where neural weights replace static keys.
Nexus
HookProbe product tier for heavy compute. 16GB+ RAM, ML training, ClickHouse analytics.
NSE
Neural Synaptic Encryption. Cryptographic system where keys are emergent, not stored.
O
OpenVSwitch (OVS)
Software-defined networking platform used for VLAN segmentation in Fortress.
P
POD
Modular container grouping in HookProbe’s 7-POD architecture. Each POD handles a specific function.
PoSF
Proof-of-Sensor-Fusion. Neural network signature proving device integrity.
Q
QSecBit
Quantified Security Bit. Universal resilience metric (0.0-1.0) for security scoring.
Quorum
Minimum number of validators required for consensus. Typically 2/3 of total validators.
R
RAG Status
Red-Amber-Green status indicator based on QSecBit score.
- GREEN: < 0.45 (normal)
- AMBER: 0.45-0.70 (warning)
- RED: > 0.70 (critical)
Resonance
State where two nodes have aligned neural weight trajectories, enabling secure communication.
S
Sentinel
HookProbe product tier for IoT. 256MB RAM, DSM validation, minimal footprint.
StandardSignal
NAPSE’s unified event format for typed security events consumed by QSecBit and AEGIS.
T
TER
Temporal Event Record. 64-byte sensor snapshot that drives weight evolution.
TPM
Trusted Platform Module. Hardware security module for cryptographic operations.
V
Validator
Node that participates in DSM consensus by aggregating microblocks and creating checkpoints.
VLAN
Virtual LAN. Network segmentation used in Fortress for isolating device types.
W
Weight Evolution
Process of neural network weights changing deterministically based on TER data.
Weight Fingerprint
SHA-512 hash of current neural weights. Changes when system integrity changes.
X
XDP
eXpress Data Path. Linux kernel technology for high-performance packet processing before the network stack.
Z
Zero-Copy
AF_XDP socket mode used by NAPSE for high-performance packet capture without kernel-to-user memory copies.