Defending against phishing attacks: taxonomy of methods, current issues and future directions-Reference-Cited by-同舟云学术

Defending against phishing attacks: taxonomy of methods, current issues and future directions

Published:2017-05-23 Issue:2 Volume:67 Page:247-267
ISSN:1018-4864
Container-title:Telecommunication Systems
language:en
Short-container-title:Telecommun Syst

Author:

Gupta B. B.,Arachchilage Nalin A. G.,Psannis Kostas E.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

http://link.springer.com/article/10.1007/s11235-017-0334-z/fulltext.html

Reference102 articles.

1. Ramanathan, V., & Wechsler, H. (2012). phishGILLNET—phishing detection methodology using probabilistic latent semantic analysis, AdaBoost, and co-training. EURASIP Journal on Information Security, a Springer Open Journal, 1, 1–22.

2. Arachchilage, N. A. G., Love, S., & Beznosov, K. (2016). Phishing threat avoidance behaviour: An empirical investigation. Computers in Human Behavior, 60, 185–197.

3. The Statistics Portal. Global number of Internet Users 2005–2015. http://www.statista.com/statistics/273018/number-of-internet-users-worldwide/ .

4. Gupta, B. B., Joshi, R. C., & Misra, M. (2009). Defending against distributed denial of service attacks: Issues and challenges. Information Security Journal: A Global Perspective, 18(5), 224–247.

5. Internet World Stats. Internet User Statistics—The Big Picture: World Internet Users and Population Stats. http://www.internetworldstats.com/stats.htm .

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