Geetha Mary Amalanathan

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

International Journal of Telemedicine and Clinical Practices

With the growth in the present digital era, the Internet is the prime source of knowledge. This situation is depleted by phishers and they have drafted various websites which steals userâs information and misuse it. Though it is hard to locate a phishing site, various features of the phishing site helps in uncovering its mask. This paper discusses several features to identify a phishing site. Using data mining techniques like classification and association rule mining many explorations are performed to prove the notion. Similarly, the impact of various features considered for analysis is studied too.

Advances in Intelligent Systems and Computing Information Systems Design and Intelligent Applications

Evaluation of Features to Identify a Phishing Website Using Data Analysis Techniques

International Journal of Science and Research (IJSR)

Privacy-Preserving in Data Mining using Anonymity Algorithm for Relational Data

Second International Conference on the Innovative Computing Technology (INTECH 2012)

Data-driven name reduction for record linkage

IEEE Transactions on Knowledge and Data Engineering

Enabling Multilevel Trust in Privacy Preserving Data Mining

Knowledge-Based Systems

Privacy preserving data mining: A noise addition framework using a novel clustering technique

IEEE Security & Privacy Magazine

Privacy-Aware Role-Based Access Control

Fuzzy-based random perturbation for real world medical datasets

Journal	International Journal of Telemedicine and Clinical Practices
Publisher	Inderscience Publishers
ISSN	2052-8434
Open Access	0