Communications of the ACM
Scaling personalized web search
WWW '03 Proceedings of the 12th international conference on World Wide Web
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Spreading Activation Models for Trust Propagation
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
Finding Related Pages Using the Link Structure of the WWW
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Identifying link farm spam pages
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Combating web spam with trustrank
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Will New Standards Help Curb Spam?
Computer
Computing relationships: transactional algorithms yield to social networks
ACM SIGCSE Bulletin
Ranking with multiple hyperplanes
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the ninth international conference on Electronic commerce
Structured Document Retrieval, Multimedia Retrieval, and Entity Ranking Using PF/Tijah
Focused Access to XML Documents
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Spam characterization and detection in peer-to-peer file-sharing systems
Proceedings of the 17th ACM conference on Information and knowledge management
Cost-effective spam detection in p2p file-sharing systems
Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval
A survey of learning-based techniques of email spam filtering
Artificial Intelligence Review
Learning to Rank for Information Retrieval
Foundations and Trends in Information Retrieval
Automatic seed set expansion for trust propagation based anti-spamming algorithms
Proceedings of the eleventh international workshop on Web information and data management
Hierarchical Core Vector Machines for Network Intrusion Detection
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
A trustworthy email system based on instant messaging
BIS'07 Proceedings of the 10th international conference on Business information systems
ProMail: using progressive email social network for spam detection
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Optimizing web structures using web mining techniques
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
SureMsg: a XMPP-based security e-mail system
International Journal of Intelligent Information and Database Systems
A collaboration-based autonomous reputation system for email services
INFOCOM'10 Proceedings of the 29th conference on Information communications
LETOR: A benchmark collection for research on learning to rank for information retrieval
Information Retrieval
Detection of spam hosts and spam bots using network flow traffic modeling
LEET'10 Proceedings of the 3rd USENIX conference on Large-scale exploits and emergent threats: botnets, spyware, worms, and more
Detecting product review spammers using rating behaviors
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Social network analysis of web links to eliminate false positives in collaborative anti-spam systems
Journal of Network and Computer Applications
Collective classification for spam filtering
CISIS'11 Proceedings of the 4th international conference on Computational intelligence in security for information systems
Enhancing scalability in anomaly-based email spam filtering
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
TRAP: open decentralized distributed spam filtering
TrustBus'11 Proceedings of the 8th international conference on Trust, privacy and security in digital business
A survey of emerging approaches to spam filtering
ACM Computing Surveys (CSUR)
Social feature-based enterprise email classification without examining email contents
Journal of Network and Computer Applications
Innovative information and knowledge infrastructures – how do i find what i need?
ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems
Spotting fake reviewer groups in consumer reviews
Proceedings of the 21st international conference on World Wide Web
Aiding the detection of fake accounts in large scale social online services
NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
Innocent by association: early recognition of legitimate users
Proceedings of the 2012 ACM conference on Computer and communications security
Personalized email recommender system based on user actions
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
Automatic seed set expansion for trust propagation based anti-spam algorithms
Information Sciences: an International Journal
Simultaneously detecting fake reviews and review spammers using factor graph model
Proceedings of the 5th Annual ACM Web Science Conference
Spotting opinion spammers using behavioral footprints
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Early security classification of skype users via machine learning
Proceedings of the 2013 ACM workshop on Artificial intelligence and security
A study of manipulative and authentic negative reviews
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
| Hi-index | 0.00 |
Can we use social networks to combat spam? This paper investigates the feasibility of MailRank, a new email ranking and classification scheme exploiting the social communication network created via email interactions. The underlying email network data is collected from the email contacts of all MailRank users and updated automatically based on their email activities to achieve an easy maintenance. MailRank is used to rate the sender address of arriving emails such that emails from trustworthy senders can be ranked and classified as spam or non-spam. The paper presents two variants: Basic MailRank computes a global reputation score for each email address, whereas in Personalized MailRank the score of each email address is different for each MailRank user. The evaluation shows that MailRank is highly resistant against spammer attacks, which obviously have to be considered right from the beginning in such an application scenario. MailRank also performs well even for rather sparse networks, i.e., where only a small set of peers actually take part in the ranking of email addresses.