Improved Anti-Virus Defense Via Efficient Clustering Techniques
With the exponential growth in the Internet and its applications, threats and vulnerabilities have increased in similar proportions. The most common way of defense used by organizations for system security is an anti-virus tool. Unfortunately, these tools have not been effective enough in providing the required defense to the volume and sophisticated nature of today's cyber attacks. This paper proposes a proactive distributed and co-operative method to improve the defense provided by such anti-virus tools. Evaluation results show the strength of the proposed approach both on random and real-world data sets.