Rethinking Hardware Support for Network Analysis and Intrusion Prevention V. Paxson,1 K. Asanovi´c,2 S. Dharmapurikar,3 J. Lockwood,4 R. Pang,5 R. Sommer,1 N. Weaver1 Abstract The performance pressures on implementing e

Source URL: www1.icsi.berkeley.edu

• Computing
• Software
• System software
• Computer network security
• Parallel computing
• Intrusion detection systems
• Computer security
• Deep packet inspection
• Network processor
• Internet protocol suite
• Bro
• Transmission Control Protocol

INTRUSION DETECTION SYSTEM RESILIENCY TO BYZANTINE ATTACKS: THE CASE STUDY OF WORMHOLES IN OLSR John S. Baras, Svetlana Radosavac, George Theodorakopoulos University of Maryland College Park College Park, MDand

Source URL: users.cs.cf.ac.uk

A Mathematical and Data-Driven Approach to Intrusion Detection for High-Performance Computing David H Bailey Lawrence Berkeley National Laboratory http://crd.lbl.gov/~dhbailey With input from

Source URL: www.davidhbailey.com

On the Reliability and Availability of Systems Tolerant to Stealth Intrusion

Source URL: webpages.alunos.fc.ul.pt

Here Comes the Sea: The Struggle to Keep the Ocean out of California’s Coastal Aquifers | Circle of Blue WaterNews Select Language Powered by 

Source URL: www.pvwma.dst.ca.us

• Water
• Natural environment
• Hydrology
• Water supply
• Aquifers
• Hydraulic engineering
• Hydrogeology
• Pajaro River
• Groundwater
• Saltwater intrusion
• Reclaimed water
• Salinas Valley

Fast Packet Classification using Condition Factorization⋆ Alok Tongaonkar, R. Sekar, Sreenaath Vasudevan Stony Brook University Abstract. Rule-based packet classification plays a central role in network intrusion detec

Source URL: seclab.cs.sunysb.edu

A Building Block Approach to Intrusion Detection Mark J. Crosbie Hewlett-Packard Company

Source URL: www.raid-symposium.org

Approved for public release; distribution is unlimited. The Diamond Model of Intrusion Analysis Sergio Caltagirone Andrew Pendergast

Source URL: www.activeresponse.org

ARTIFICIAL INTELLIGENCE APPROACHES FOR INTRUSION DETECTION. Dima Novikov (Rochester Institute of Technology, Rochester, NY, ), Roman V. Yampolskiy (University at Bufalo, Buffalo, NY,

Source URL: cecs.louisville.edu

Anomaly Detection and Diagnosis in Grid Environments Lingyun Yang1 Chuang Liu2 1

Source URL: sc07.supercomputing.org

• Computing
• Data mining
• Computer security
• Information technology management
• Anomaly detection
• Data security
• Intrusion detection system
• Information technology
• Anomaly
• GridFTP
• Transmission Control Protocol