Intrusion Detection and Forensics for Self-Defending Wireless Networks

Abstract

In this YIP project we proposed self-defending wireless networks have three components: 1) automatic detection and signature generation for zero-day polymorphic worms; 2) situational-aware analysis and forensics for botnet scan, and 3) vulnerability analysis of wireless network protocols. In summary, we fulfill the task completely and have achieved significant results as follows: (1) 20 peer-reviewed conference papers and 9 journal papers in top venues such as ACM SIGCOMM, ACM/USENIX NSDI, NDSS, and ACM Transaction in Networking (ToN), (2) 4 book chapters, (3) 3 pending patents, and (4) numerous articles that are currently under review. Furthermore, my YIP research was featured in the article entitled "AFOSR-Supported YIP Research Leads to Algorithms That Deflect Network Attackers", in Air Force Print News. October 18, 2010.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2012
Accession Number
ADA568040

Entities

People

  • Yan Chen

Organizations

  • Northwestern University

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Ad Hoc Networks
  • Air Force
  • Algorithms
  • Automatic
  • Communication Networks
  • Computer Networks
  • Computer Programs
  • Computers
  • Demographic Cohorts
  • Detection
  • Intrusion
  • Intrusion Detection
  • Network Architecture
  • Network Protocols
  • Networks
  • Vulnerability
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Cybersecurity.
  • Technical Research and Report Writing.