Computing Platform Coverage via Light Host-based Intrusion Detection

Abstract

Malicious software and hostile intrusions represent two of the largest threats to information systems today. During the course of this project we developed solutions that address both of these issues. The BayeScan prototype is a novel approach to detecting malicious software before it has a chance to strike. The AppID prototype provides a framework for the development of real-time host-based intrusion detection technology. The creation of these tools provides users with access to leading-edge research technologies in the fight against malicious software and malicious attackers.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2002
Accession Number
ADA402859

Entities

People

  • Matthew Schmid

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Anomaly Detection
  • Anti-Virus Software
  • Change Detection
  • Computer Program Documentation
  • Computer Programs
  • Computers
  • Control Panels
  • Detection
  • Detectors
  • Graphical User Interface
  • Intrusion Detection
  • Intrusion Detection Systems
  • Intrusion Detectors
  • Malware
  • Operating Systems
  • User Interface
  • Warning Systems

Fields of Study

  • Computer science

Readers

  • Cybersecurity.
  • East Asian Political and Security Studies within the Soviet Union
  • Military Science and Technology Research and Modernization.