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The Integrated Network-Based Ohio University Network Detective Service

Classification
Dimension Value
  • Discipline
  • Structural Sciences
    • Information Science
  • Project Working Hours
  • Not Specified
  • Research Study Hybrid Value Creation
    • Funding Institutions
    • National governmental Funding
      • Other
    • Other Funding Institutions
    • National Science Foundation
    Contact Person/s: Dr. Shawn Ostermann

    The Integrated Network-Based Ohio University Network Detective Service (INBOUNDS)

    This document describes a proposed software system, called INBOUNDS (Integrated Network-Based Ohio University Network Detective Service), that will address the difficult research problem of security in the dynamic real-time Internet environment populated by both legitimate users and hostile intruders.  Internet security is becoming more critical by the day. Successful attacks on banks, schools, government agencies, and corporations that do business online are becoming more and more common, and the frequency of these attacks and the amount of damage done is rising rapidly. Commercially available firewalls and intrusion detection systems are currently the only weapons with which to defend against the threat, but they are obviously not capable of keeping up with the ever-changing attack strategies of hackers.  Thus, we propose INBOUNDS a real-time network based intrusion detection and response system under development at Ohio University's Laboratory for Real-Time, Secure Systems and Applications. INBOUNDS detects and responds to suspicious behavior by using TCPTrace (a network traffic analysis tool) and DeSiDeRaTa (dynamic, real-time resource management middleware). INBOUNDS is intended to function in a heterogeneous environment with fault tolerance, very low overhead, and a high degree of scalability. A prototype of INBOUNDS is currently being used for around-the-clock intrusion detection and response at Ohio University and we propose to add functionality that will enable INBOUNDS to deal with the following important types of attacks:  Large-scale, distributed denial-of-service attacks Abnormal network protocol behavior including SYN and RESET attacks Suspicious keywords in interactive sessions/email Suspicious patterns of data, such as the fan-out patterns commonly seen with email viruses Communication over unusual network ports, which are common when attackers target seldom used and insecure servers  Connections from unknown/unusual hosts Abnormal data patterns for a particular time of day  Unusual data patterns on known ports, such as would be seen when at attacker installs programs using the fingerd port as in the Morris Worm


    This project was described byAdmin Istrator (24. May 2011 - 10:21)
    This project was last edited by Sanja Tumbas (9. July 2012 - 22:45)

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