Title :
Detecting unknown vulnerabilities using Honeynet
Author :
Anas Abd Almonim Nour Albashir
Author_Institution :
College of Iqraa for Science and Technology, Wad Madni, Sudan
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"
Conference_Titel :
Anti-Cybercrime (ICACC), 2015 First International Conference on
DOI :
10.1109/Anti-Cybercrime.2015.7351929