BOTNET DETECTION BY USING MACHINE LEARNING TECHNIQUE

Abstract

A social network sites plays very important role for spreading the information and influence in the
form of whole world in hand. There is a basic thing to find small set of influential people in a social network such
that targeting them initially. It will increase the spread of the influence but the problem is that to finding the most
influential nodes in network. There is one Algorithm called as Greedy algorithm used for mining top-K influential
nodes. It consists of 2 modules: which bifurcate the post of social network into several variants by taking into
account information diffusion and selecting communities to find influential nodes by a advance programming.
Using Location Based Community Greedy algorithm is used to find the influence node based on Location of the
user and we can sort out the influence for particular Area. There is one more Serious problem in social network is
that there are so many malicious attacks spread by the people and that malicious contents are hidden behind some
attractive posts. i.e viral marketing techniques in the promotion of new products or posts like how much luckiest
today or what does your name meant or post which states the giving you iPhone in lesser prize or giving them free
samples of the product etc. such posts in social network may be harmful to users which has the negative intention
of stealing the personal information user. So the takes the advantage of such usage history of ads i.e. rating of such
posts the system analyses the that products impact on social media users and predicts the positive or negative
category for that posts which is beneficial for future users on social media. So we need to find out that post and
block them.