• DocumentCode
    2171292
  • Title

    New directions in covert malware modeling which exploit white-listing

  • Author

    Wang, Jisheng ; Kesidis, George ; Miller, David J.

  • Author_Institution
    Dept. of EE&CSE, Penn State Univ., University Park, PA
  • fYear
    2007
  • fDate
    April 30 2007-May 2 2007
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Zero-day attacks - especially those that hide the attack exploit by using code obfuscation and encryption - remain a formidable challenge to existing network defenses. Many techniques have been developed that can address known attacks and similar new attacks that may arise in the future. Some methods, like Earlybird and Polygraph, focus on string-based content prevalence in payloads; others focus on the presence of particular I386 instructions, e.g., Sigfree counts the number of ldquousefulrdquo instructions in each request. For both types of systems, a white-listing mechanism, in which some strings or instructions are regarded as innocuous, is necessary to avoid a high false positive rate associated with common content such as URL addresses and peer-to-peer traffic. In this paper, we explore a more sophisticated attack model that not only makes malcode payloads look like nominal ones, but which is also assumed to be both aware of and exploitative of the white-listing itself in forming a Trojan mechanism. In other words, the malware attempts to embed its malcode into the prevalent content that is normally white-listed. If the malcode is encrypted, the attacker will also attempt to obfuscate its plain-text decryption code as much as possible. Both current string-based and instructionbased systems will likely fail to detect such attacks. We propose a comprehensive IDS model in the paper and discuss some potential defensive mechanisms against such attack.
  • Keywords
    cryptography; invasive software; peer-to-peer computing; telecommunication security; telecommunication traffic; tree data structures; IDS model; Trojan mechanism; URL addresses; code obfuscation; covert malware modeling; encryption; generalized suffix tree; network defenses; payload-based detection; peer-to-peer traffic; string-based content prevalence; white-listing mechanism; zero-day attacks; Computer networks; Computer worms; Cryptography; Distributed computing; Electronic mail; Embedded computing; Humans; Intrusion detection; Military computing; Payloads;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sarnoff Symposium, 2007 IEEE
  • Conference_Location
    Nassau Inn, Princeton, NJ
  • Print_ISBN
    978-1-4244-2483-2
  • Type

    conf

  • DOI
    10.1109/SARNOF.2007.4567340
  • Filename
    4567340