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A Novel Approach for Blacklist Recommendation System

Author(s):

Manali Parate , SIRT Indore; Prof. Ritu Tandon, SIRT INDORE

Keywords:

Blacklist Recommendation System, Content, Context, Collaborative, Hybrid Algorithm

Abstract

Now a day, malicious activities are becoming more active and more frustrating for the internet users. There is a need for a solution which protects user by recommending them a blacklist of current threats. Existing recommendation algorithms i.e. content, collaborative, context based etc. do not provide the fast and efficient recommendations for the problem. This paper proposed a hybrid recommendation algorithm that generates fast and efficient threat’s black list recommendations. If we making a network and configuring security tool. So there is need to block malicious IP addresses and domain name which can affected to the network. We have a log of malicious IP addresses and domain name from central repository that log shared by victim, who is already suffered from this type of activity. Hybrid Recommendation Algorithm provides a list of most deadly attackers. After that we can get black list and block by firewall and other security tools.

Other Details

Paper ID: IJSRDV5I60451
Published in: Volume : 5, Issue : 6
Publication Date: 01/09/2017
Page(s): 2007-2011

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