A comparative analysis and awareness survey of phishing detection tools

No Thumbnail Available

Date

2018

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

Abstract

Phishing is a kind of attack in which phishers use spoofed emails and malicious websites to steal personal information of people. Nowadays various tools are freely available to detect phishing and other web-based scams, many of which are browser extensions that generate a warning whenever user browses a suspected phishing site. In this research paper, comparison of eight phishing detection tools has been done to find the best one by testing each tool on the dataset, and further an awareness survey was carried out about these tools. Dataset contains two thousand verified phishing websites reported from August 2016 to March 2017 collected from two anti-phishing platforms i.e., Anti-Phishing Working Group (APWG) and PhishTank, and 500 legitimate websites that are visited by users regularly (i.e., Citibank.com, PayPal.com, Alibaba.com, Askfm.in, etc.) to test the effectiveness of eight popular anti-phishing tools. After testing all the tools on the dataset, it is found that AntiPhishing Toolbar did a very good job at identifying 94.32 percent of phishing as well as legitimate websites from the dataset. An awareness survey has been conducted among fifty M.tech Computer Science & Technology, and Cyber Security pursuing students at Central University of Punjab. The survey revealed that approximately 61 percent respondents are completely unaware about phishing detection tools. ? 2017 IEEE.

Description

Keywords

Computer crime, Inspection equipment, Statistical tests, Surveys, Websites, Anti-phishing tools, Anti-phishing working groups, Comparative analysis, Dataset, Personal information, Phishing, Phishing detections, Phishing websites, Information dissemination

Citation

Sharma, H., Meenakshi, E., & Bhatia, S. K. (2018). A comparative analysis and awareness survey of phishing detection tools. Paper presented at the RTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings.

Endorsement

Review

Supplemented By

Referenced By