An Advanced Hyper-Efficient Design to Detect Random Peer-to-Peer Botnets

Abstract

Botnets have become one of the most solemn threats to Internet security. Botnets comprises over a network of infected nodes known as 'bot'. Bots are controlled by human operators (botmasters). Random nature of Peer-to-Peer botnets has influenced sinkhole researchers to compromise over occupation of hunted command and control in a complex manner and due to variable nature of action, they are often good deserters. In this paper, we present a design of an advanced hyper-efficient mechanism which has the ability to pursue Peer-to-Peer randomized botnets. It provides capacity to detain targeted sinkholes and identify arbitrary execution of contagion in infected nodes. In the end, method acquires the composition of different cubic formations for proper lookup of random natured Peer-to-Peer botnets.