Swarm Attacks
Swarm Attacks. The need for multi-agent security is foreshadowed by attacks today that benefit from the use of many decentralised agents, such as distributed denial-of-service attacks (Cisco, 2023; Yoachimik & Pacheco, 2024). Such attacks exploit the massive collective resources of individual low- resourced actors, chained into an attack that breaks the assumptions of bandwidth constraints on a single well-resourced agent.
ENTITY
1 - Human
INTENT
1 - Intentional
TIMING
2 - Post-deployment
Risk ID
mit1243
Domain lineage
7. AI System Safety, Failures, & Limitations
7.6 > Multi-agent risks
Mitigation strategy
1. Implement Online Ensemble Learning and User/Entity Behavior Analytics (UEBA) within a decentralized architecture to enable real-time, adaptive classification of coordinated anomalous behavior and concept drift, thereby pre-empting swarm emergence. 2. Enforce Decentralized, Resilient Communication Protocols with Robust Cryptographic Authentication to ensure agent identity integrity, secure inter-agent communication channels, and prevent spoofing or protocol manipulation. 3. Employ Dynamic Load Shifting and Adaptive Clustering/Assignment mechanisms, coupled with Architectural Redundancy (e.g., multi-path routing) to absorb or re-allocate computational and communication load away from targeted components.