Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

A Study User Behavior Using Phishing Education and Training

Author : Ms. Vidya Mhaske-Dhamdhere 1 Dr. Prasanna Joeg 2 Dr. Sandeep Vanjale 3

Date of Publication :16th November 2017

Abstract: In this paper, we present results of surveys of users on their ability to recognize phishing emails as opposed to legitimate emails. User awareness is one of the most important approaches to phishing detection. We first conducted a survey of user confidence in their ability to detect phishing. We then designed a survey questionnaire that contained some legitimate emails and some phishing emails. We conducted a second survey to test the ability of a sample set of users to detect phishing. The results were mixed. After the second survey, we conducted a training session on the same group of users to train them to detect phishing. After the training we conducted a third survey with a somewhat different questionnaire to test their ability to detect phishing. Our results suggest that training considerably improves the ability to detect phishing. However, a significant minority are still not able to detect phishing.

Reference :

    1. Ammar Almomani, B. B. Gupta, Samer Atawneh, A. Meulenberg, and Eman Almomani “A Survey of Phishing Email Filtering Techniques” IEEE COMMUNICATIONS SURVEYS & TUTORIALS, VOL. 15, NO. 4, FOURTH QUARTER 2013 page no 2070 -2090.
    2. Tzipora Halevi, James Lewis,” A Pilot Study of Cyber Security and Privacy Related Behavior and Personality Traits”, International World Wide Web Conference Committee (IW3C2), May 13–17, 2013, ACM.
    3. Vishkha pawar, pritish tijare ,” User Security Awareness against Phishing”, International Journal of Advance Research in Computer Science and Management Studies, Volume 2, Issue 3, March 2014.
    4. Xun Dong, John A. Clark, User Behavior Based Phishing Websites Detection”, Proceedings of the International Multiconference on Computer Science and Information Technology pp. 783–790 IEEE-2008.
    5. Lung-Hao Lee, Kuei-Ching Lee,Yen-Cheng Juan,” Users’ Behavioral Prediction for Phishing Detection”, ACM 978-1-4503-2745-9/14/04. April 7–11, 2014.
    6.  Steve Sheng,1 Mandy ,Holbrook,Ponnurangam Kumaraguru, Lorrie Cranor,Julie Downs,” Who Falls for Phish? A Demographic Analysis of Phishing Susceptibility and Effectiveness of Interventions”, Copyright 2010 ACM.

Recent Article