A distributed intrusion detection system for resource-constrained devices in ad-hoc networks

Ad Hoc Networks

Volumn 8, Issue 3, 2010, Pages 253-266

  Lauf, Adrian P ^a   Peters, Richard A ^a   Robinson, William H ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

Ad hoc network; Detection; Embeddable; Embedded; Highlevel Abstraction; Intrusion; Machine learning; Resource constrained; Scalability

Indexed keywords

A-DENSITY; ANOMALY-BASED INTRUSION DETECTION; COMPUTATIONAL REQUIREMENTS; CONNECTED NETWORKS; DISTRIBUTED INTRUSION DETECTION SYSTEMS; EMBEDDABLE; EMBEDDED DEVICE; HIGH-LEVEL ABSTRACTION; INTRUSION DETECTION SYSTEMS; LOCAL MAXIMUM; MACHINE-LEARNING; OFFLINE; OPERATIONAL SCENARIO; POTENTIAL THREATS; RESOURCECONSTRAINED DEVICES; TWO STAGE;

ABSTRACTING; COMPUTER CRIME; INTRUSION DETECTION; MOBILE AD HOC NETWORKS; PROBABILITY DENSITY FUNCTION; ROBOT LEARNING; SCALABILITY; TELECOMMUNICATION NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

AD HOC NETWORKS;

EID: 72949113634     PISSN: 15708705     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.adhoc.2009.08.002     Document Type: Article

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