GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Effective personalization based on association rule discovery from web usage data
Proceedings of the 3rd international workshop on Web information and data management
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
User Modeling for Adaptive News Access
User Modeling and User-Adapted Interaction
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Shilling recommender systems for fun and profit
Proceedings of the 13th international conference on World Wide Web
Collaborative recommendation: A robustness analysis
ACM Transactions on Internet Technology (TOIT)
Finding group shilling in recommendation system
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Preventing shilling attacks in online recommender systems
Proceedings of the 7th annual ACM international workshop on Web information and data management
Is trust robust?: an analysis of trust-based recommendation
Proceedings of the 11th international conference on Intelligent user interfaces
Classification features for attack detection in collaborative recommender systems
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Detecting Profile Injection Attacks in Collaborative Recommender Systems
CEC-EEE '06 Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Model-based collaborative filtering as a defense against profile injection attacks
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Data mining for web personalization
The adaptive web
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Analysis and detection of segment-focused attacks against collaborative recommendation
WebKDD'05 Proceedings of the 7th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
Attacks and Remedies in Collaborative Recommendation
IEEE Intelligent Systems
The influence limiter: provably manipulation-resistant recommender systems
Proceedings of the 2007 ACM conference on Recommender systems
Robustness of collaborative recommendation based on association rule mining
Proceedings of the 2007 ACM conference on Recommender systems
Using data mining and recommender systems to scale up the requirements process
Proceedings of the 2nd international workshop on Ultra-large-scale software-intensive systems
Distributed Collaborative Filtering for Robust Recommendations Against Shilling Attacks
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Adaptive Search Results Personalized by a Fuzzy Recommendation Approach
PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
The information cost of manipulation-resistance in recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
Unsupervised retrieval of attack profiles in collaborative recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
Flexible recommendations over rich data
Proceedings of the 2008 ACM conference on Recommender systems
Collaborative web search: a robustness analysis
Artificial Intelligence Review
Manipulation-resistant recommender systems through influence limits
ACM SIGecom Exchanges
Evaluating Performance of Recommender Systems: An Experimental Comparison
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
FlexRecs: expressing and combining flexible recommendations
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Strategies for Effective Shilling Attacks against Recommender Systems
Privacy, Security, and Trust in KDD
Proceedings of the third ACM conference on Recommender systems
Manipulation-resistant collaborative filtering systems
Proceedings of the third ACM conference on Recommender systems
Donation dashboard: a recommender system for donation portfolios
Proceedings of the third ACM conference on Recommender systems
Rating aggregation in collaborative filtering systems
Proceedings of the third ACM conference on Recommender systems
Impact of relevance measures on the robustness and accuracy of collaborative filtering
EC-Web'07 Proceedings of the 8th international conference on E-commerce and web technologies
The role of user mood in movie recommendations
Expert Systems with Applications: An International Journal
Efficient web usage mining process for sequential patterns
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
On the stability of recommendation algorithms
Proceedings of the fourth ACM conference on Recommender systems
Evaluating the dynamic properties of recommendation algorithms
Proceedings of the fourth ACM conference on Recommender systems
Dependable filtering: Philosophy and realizations
ACM Transactions on Information Systems (TOIS)
Categorizing user interests in recommender systems
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Achieving optimal privacy in trust-aware social recommender systems
SocInfo'10 Proceedings of the Second international conference on Social informatics
Temporal defenses for robust recommendations
PSDML'10 Proceedings of the international ECML/PKDD conference on Privacy and security issues in data mining and machine learning
Sequence-based trust in collaborative filtering for document recommendation
International Journal of Human-Computer Studies
A Case Study of Collaboration and Reputation in Social Web Search
ACM Transactions on Intelligent Systems and Technology (TIST)
A market-based approach to address the new item problem
Proceedings of the fifth ACM conference on Recommender systems
Vulnerabilities and countermeasures in context-aware social rating services
ACM Transactions on Internet Technology (TOIT)
Modeling topic specific credibility on twitter
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Collaborative Filtering Recommender Systems
Foundations and Trends in Human-Computer Interaction
Recommender systems: from algorithms to user experience
User Modeling and User-Adapted Interaction
Proceedings of the 15th International Conference on Extending Database Technology
Building and managing reputation in the environment of Chinese e-commerce: a case study on Taobao
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
HySAD: a semi-supervised hybrid shilling attack detector for trustworthy product recommendation
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
RecMax: exploiting recommender systems for fun and profit
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
The effect of suspicious profiles on people recommenders
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
Review quality aware collaborative filtering
Proceedings of the sixth ACM conference on Recommender systems
Stability of Recommendation Algorithms
ACM Transactions on Information Systems (TOIS)
Clustering users to explain recommender systems' performance fluctuation
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
A hybrid decision approach to detect profile injection attacks in collaborative recommender systems
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
Identifying Influential Taggers in Trust-Aware Recommender Systems
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
An Improved Model of Trust-aware Recommender Systems Using Distrust Metric
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
βP: A novel approach to filter out malicious rating profiles from recommender systems
Decision Support Systems
When power users attack: assessing impacts in collaborative recommender systems
Proceedings of the 7th ACM conference on Recommender systems
Trustable aggregation of online ratings
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Accuracy and robustness impacts of power user attacks on collaborative recommender systems
Proceedings of the 7th ACM conference on Recommender systems
Privacy-preserving matrix factorization
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
Robust Sybil attack defense with information level in online Recommender Systems
Expert Systems with Applications: An International Journal
Robustness analysis of privacy-preserving model-based recommendation schemes
Expert Systems with Applications: An International Journal
Defending recommender systems by influence analysis
Information Retrieval
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Publicly accessible adaptive systems such as collaborative recommender systems present a security problem. Attackers, who cannot be readily distinguished from ordinary users, may inject biased profiles in an attempt to force a system to “adapt” in a manner advantageous to them. Such attacks may lead to a degradation of user trust in the objectivity and accuracy of the system. Recent research has begun to examine the vulnerabilities and robustness of different collaborative recommendation techniques in the face of “profile injection” attacks. In this article, we outline some of the major issues in building secure recommender systems, concentrating in particular on the modeling of attacks and their impact on various recommendation algorithms. We introduce several new attack models and perform extensive simulation-based evaluations to show which attacks are most successful and practical against common recommendation techniques. Our study shows that both user-based and item-based algorithms are highly vulnerable to specific attack models, but that hybrid algorithms may provide a higher degree of robustness. Using our formal characterization of attack models, we also introduce a novel classification-based approach for detecting attack profiles and evaluate its effectiveness in neutralizing attacks.