A Trust Aggregation PortalSupervisor:Prof. Gihan Dias 128202E – A.G.E.A. Abeynayake
Social Identity & Trust• What is Social Identity? – Layman View – Cyberspace• Where does Trust fits in? Image Courtesy of: Social Identity Report at http://www.veechi.com/sir.html
Problem Definition• Numerous interconnections between individuals andOrganizations – Multiple Identities• Enormous social networking sites – Overlapping Content – Non-overlapping Content• Isolated nature of individual systems – Has there own Recommendation system – Personal Profile information – Not Disclosed to other systems
A Step Ahead...• A “Trust mark” for Individuals Feedback by Friends Day-to-Day Activities Context Information Image Courtesy of: Social Identity Report at http://www.veechi.com/sir.html
Literature Review – Area of Concern• Study about NSTIC – National Strategy for Trusted Identities in Cyberspace• Collecting Aggregating User Data – Extraction Methods – Current Systems• Trust and Reputation Models – Existing models for Trust Scoring
NSTIC Study• NSTIC Addresses two central problems  – Passwords are inconvenient and insecure – Individuals are unable to prove their true identity online for significant transactions• Key Operational Roles – subjects – relying parties – identity providers – attribute providers – accreditation authorities
Identity Ecosystem • NSTIC provides a framework for individuals and organizations to utilize secure, efficient, easy-to-use• and interoperable identity solutions to access online services in a manner that promotes• confidence, privacy, choice and innovation.
Collection and Aggregation of data• Prying Data out of a Social Network  presents Methods Of Extracting Data – Public Listings – Facebook and LinkedIn APIs – Facebook Graph API – Scraping Facebook UI
Collection and Aggregation of data• Crawling Social Networks  – crawled these user data in a breadth-first fashion – used a queue data structure – Stored in MySQL database using a simple schema
Trust and Reputation• Trust Classes  - According to Grandison & Slomans classication• Classification of trust and reputation measures Specific General Subjective Survey eBay, voting questionnaires Objective Product tests Synthesised general score from product tests, D&B rating
Trust and Reputation• Reputation Network Architectures  – Centralised Reputation Systems – Distributed Reputation Systems• Classification of Reputation Systems  – Flat reputation systems – Recursively weighting reputation system – Personalized reputation system with trust anchor
Trust and Reputation• Algorithms and Methods for Measurement   – Collaborative filtering and Collaborative Sanctioning – Bayesian Networks – Fuzzy Decision Trees – Boosting algorithms
References National Institute Of Standards And Technology. “Recommendations For Establishing An Identity Ecosystem Governance Structure”. White House.Department of Commerce. Available at: http://www.nist.gov/nstic/2012-nstic-governance-recs.pdf NSTIC. “Enhancing Online Choice, Efficiency, Security, and Privacy”. Available at: http://www.whitehouse.gov/sites/default/files/rss_viewer/NSTICstrategy_ 041511.pdf Joseph Bonneau, Jonathan Anderson, George Danezis. "Prying Data out of a Social Network", ASONAM 09 Proceedings of the International Conference on Advances in Social Network Analysis and Mining, 2009, pp. 249-254 D. H. Chau, S. Pandit, S. Wang, and C. Faloutsos, “Parallel Crawling for Online Social Networks,” in WWW ’07: Proceedings of the 16th international conference on World Wide Web, 2007, pp. 1283–1284.
ReferencesB. Krishnamurthy and C. E. Wills, “Characterizing Privacy in Online Social Networks,” in WOSN: Workshop on Online Social Networks, 2008, pp. 37 – 42. W. Xu, X. Zhou, and L. Li, “Inferring Privacy Information via Social Relations,” International Conference on Data Engineering, 2008. A. Gutscher, J. Heesen and O. Siemoneit, “Possibilities and Limitations of Modeling Trust and Reputation,” Proc. CEUR Workshop, 2008.Audun Jøsang, Roslan Ismail, and Colin Boyd. 2007. A survey of trust and reputation systems for online service provision. Decis. Support Syst. 43, 2 (March 2007), 618-644.