• DocumentCode
    3708309
  • Title

    Detecting unknown vulnerabilities using Honeynet

  • Author

    Anas Abd Almonim Nour Albashir

  • Author_Institution
    College of Iqraa for Science and Technology, Wad Madni, Sudan
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The vulnerabilities in a software can be exploited and can result in damaging important resources. To prevent such exploitations, anti-virus companies introduces new virus signatures in their databases. The approach requires network system to be analyzed constantly to discover harmful traffic. The harmful traffic can consist of single or multiple threats that can use vulnerability in one or another way. To discover vulnerability at earlier stage, is important because it can give time to remove the weaknesses from the system thus closing the way for intruders to exploit it. In this paper, we propose a Honeynet Vulnerabilities Detector system (HVD) to detect unknown vulnerabilities in software. To mitigate the risk of detection of HVD (fingerprint identification), we provide the attackers unlimited outbound connections. The increased number of connections can give rise to security threat for protection networks (non-Honeynet systems) and to prevent such threats, we propose a method to protect such systems The HVD will be able to detect the unknown vulnerabilities in software. The detection of unknown vulnerabilities will result in providing opportunities to software developers to fix/remove them.
  • Keywords
    "Software","Malware","Computer architecture","Computers","Grippers","Fingerprint recognition"
  • Publisher
    ieee
  • Conference_Titel
    Anti-Cybercrime (ICACC), 2015 First International Conference on
  • Type

    conf

  • DOI
    10.1109/Anti-Cybercrime.2015.7351929
  • Filename
    7351929