A fuzzy collaborative assessment approach for knowledge grid
Future Generation Computer Systems - Special issue: Semantic grid and knowledge grid: the next-generation web
An Antiphishing Strategy Based on Visual Similarity Assessment
IEEE Internet Computing
The Knowledge Grid
Autonomous semantic link networking model for the Knowledge Grid: Research Articles
Concurrency and Computation: Practice & Experience - Autonomous Grid Computing
Cantina: a content-based approach to detecting phishing web sites
Proceedings of the 16th international conference on World Wide Web
Algebra model and experiment for semantic link network
International Journal of High Performance Computing and Networking
Communities and Emerging Semantics in Semantic Link Network: Discovery and Learning
IEEE Transactions on Knowledge and Data Engineering
Editorial: Special section: Semantic Link Network
Future Generation Computer Systems
A potential HTTP-based application-level attack against Tor
Future Generation Computer Systems
Ranking semantic relationships between two entities using personalization in context specification
Information Sciences: an International Journal
Trustworthiness testing of phishing websites: A behavior model-based approach
Future Generation Computer Systems
A quantitative approach to estimate a website security risk using whitelist
Security and Communication Networks
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An approach to the discovery of the phishing target of a suspicious webpage is proposed, which is based on construction and reasoning of the Semantic Link Network (SLN) of the suspicious webpage. The SLN is constructed from the given suspicious webpage and its associated webpages. Since reasoning of the SLN can discover implicit relations among webpages, the true association relations between a phishing webpage and its target are acquired via reasoning. Afterwards, by analysis of the relations, the suspicious webpage can be identified as phishing or not based on the predefined rules, and its target can be discovered if it is phishing. Our test dataset consists of 1000 phishing pages selected from PhishTank, and 1000 legitimate webpages. The experimental results show that the proposed method yields a false negative rate of 16.6% on the phishing pages and a false positive rate of 13.8% on the legitimate pages.