Investigating the Effectiveness of Profile Injecting Attacks Against Recommender Systems

Research Proposal
Research Topic “Investigating the
effectiveness of profile injecting attack
against recommender system”
Student Name:
Student ID:
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Table of Contents
Research Project Motivation......................................................................................................... 3
Research Question.........................................................................................................................4
Thesis Description..........................................................................................................................5
Article: Shilling attacks against recommender systems: a comprehensive survey.........................6
Article: Hybrid attacks on model-based social recommender systems..........................................7
Article: Estimating user behaviour toward detecting anomalous ratings in rating systems..........8
Article: Recommender Systems— Beyond Matrix Completion......................................................9
Article: Android fine-grained permission control system with real-time expert recommendations
..................................................................................................................................................... 10
Methodology............................................................................................................................... 11
Research schedule....................................................................................................................... 13
Gantt Chart:................................................................................................................................. 14
References:.................................................................................................................................. 15
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Research Project Motivation
Recommender system has been used in the number of the field such as digital media, news, e-
commerce, social networks, and tourism sector. There is various recommender system such as
Amazon, Netflix and many more. Although they handle the information and gives personalized
services, they have great privacy concerns. In this research proposal, we have research the
various attacks occurred on the recommender system “Netflix” and investigate the efficiency of
profile that has injected against the Netflix recommender system. There are two attacks, one is
Push attack and the other is Nuke attack. Push attack tries to protect the recommendations that
are positive and Nuke attack tries to protect the recommendations that are negative. The main
motivation of this research proposal is to investigate the effectiveness of profile injecting the
Netflix system. Netflix is a media streaming system that provides tv shows, online videos,
movies and many things. On researching and investigating this proposal, it is found that various
attacks happened on these recommender systems like Hybrid attack, and Shilling attack. With
the increasing demand and popularity of the digital social platform, there are more chances of
happening of such types of attacks. Because of these rating systems and comment area section
under the Netflix recommender system, they are vulnerable to such malicious attacks or
malware. In this research paper, we are presenting several attacks and their impacts on the
Netflix recommender system in many aspects. The malicious users inset the forged profiles in
the item box or the details of the user’s profiles so that the predicted ratings can be affected by
them in place of their benefits, Rashid (2007).
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Research Question
The main aim of this research proposal is to deeply study and analyze the topic” “Investigating
the effectiveness of profile injecting attack against recommender system”. This research
proposal covers the following research questions:
 Study the role and working of the efficiency of outline injecting attack in contradiction of
Netflix recommender system.
 What are the consequences of this profile injecting attacks?
 Study the current and future status of profile injecting attacks.
 The main objective of researching this proposal is to study the security concerns of the
users and the Netflix system.
 Study the suitable and appropriate approaches to overcome these attacks and provide
security to the Netflix recommender system from these attacks.
 What are the challenge and security issues faced by these recommender systems and how
user secure their profile on the Netflix recommender system from this profile injecting
attacks?
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