Project centers in Chennai

IEEE Final Year Project Topics for CSE

Base Paper Title

Robust model-based reliability approach to tackle shilling attacks in collaborative filtering recommender systems

Our Title

IEEE Project Abstract

As the use of recommender systems becomes generalized in society, the interest in varying the orientation of their recommendations increases. There are Shilling attacks strategies that introduce malicious profiles in collaborative filtering recommender systems in order to promote the own products or services, or to discredit those of the competition. Academic research against shilling attacks has been focused in statistical approaches to detect unusual patterns in user ratings. Nowadays there is a growing research area focused on the design of robust machine learning methods to neutralize malicious profiles inserted into the system. This paper proposes an innovative robust method, based on matrix factorization,to neutralize shilling attacks. Our method obtains the reliability value associated to each prediction of a user to an item. Monitoring unusual reliability variations in the items prediction we can avoid promoting shilling predictions to erroneous recommendations. This paper open provides more than thirteen thousand individual experiments involving a wide range of attack strategies, both push and nuke, in order to test the proposed approach. Results show that the proposed method is able to neutralize most of the existing attacks;its performance only decreases in the not relevant situations: when the attack size is not large enough to affect effectively the recommendations provided by the system.

Existing System

Drawback of Existing System

Proposed System

Advantage of Proposed System

Enhancement from Base Paper

Architecture

Technology Used : Hardware & Software

Existing Algorithm

Proposed Algorithm

Advantages of Proposed Algorithm

Project Modules

Literature Survey

Conclusion

Future Work

To View the Abstract Contents

Exclusive
Offer
Refer Your Friend
10%
CASHBACK
Refer Another Friend
Thanks for Referring Your Friend / Relation

Now it is Your Time to Shine.

Great careers Start Here.

We Guide you to Every Step

Success! You're Awesome

Thank you for filling out your information!

We’ve sent you an email with your Final Year Project PPT file download link at the email address you provided. Please enjoy, and let us know if there’s anything else we can help you with.

To know more details Call 900 31 31 555

The WISEN Team