The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Defending against phishing attacks: taxonomy of methods, current issues and future directions
Open accessAbstract
Internet technology is so pervasive today, for example, from online social networking to online banking, it has made people’s lives more comfortable. Due the growth of Internet technology, security threats to systems and networks are relentlessly inventive. One such a serious threat is “phishing”, in which, attackers attempt to steal the user’s credentials using fake emails or websites or both. It is true that both industry and academia are working hard to develop solutions to combat against phishing threats. It is therefore very important that organisations to pay attention to end-user awareness in phishing threat prevention. Therefore, aim of our paper is twofold. First, we will discuss the history of phishing attacks and the attackers’ motivation in details. Then, we will provide taxonomy of various types of phishing attacks. Second, we will provide taxonomy of various solutions proposed in literature to protect users from phishing based on the attacks identified in our taxonomy. Moreover, we have also discussed impact of phishing attacks in Internet of Things (IoTs). We conclude our paper discussing various issues and challenges that still exist in the literature, which are important to fight against with phishing threats.
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Citations
Cites
The Emperor's New Security Indicators
Schechter, S. E., Dhamija, R., Ozment, A., & Fischer, I. (2007) · 2007 IEEE Symposium on Security and Privacy (SP '07) · doi:10.1109/sp.2007.35 · Cited by 405
Security awareness of computer users: A phishing threat avoidance perspective
Arachchilage, N. A. G., & Love, S. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.05.046 · Cited by 332
Self-citation
Cited by
A comprehensive survey of AI-enabled phishing attacks detection techniques
Basit, A., Zafar, M., Liu, X., Javed, A. R., Jalil, Z., & Kifayat, K. (2021) · Telecommunication Systems · doi:10.1007/s11235-020-00733-2 · Cited by 429
Machine learning in cybersecurity: a comprehensive survey
Dasgupta, D., Akhtar, Z., & Sen, S. (2022) · The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology · doi:10.1177/1548512920951275 · Cited by 259
A survey of phishing attack techniques, defence mechanisms and open research challenges
Jain, A. K., & Gupta, B. B. (2022) · Enterprise Information Systems · doi:10.1080/17517575.2021.1896786 · Cited by 192
Self-citationDistort, Extort, Deceive and Exploit: Exploring the Inner Workings of a Romance Fraud
Carter, E. (2021) · The British Journal of Criminology · doi:10.1093/bjc/azaa072 · Cited by 92
Metadata
- Authors
- Gupta, B. B., Arachchilage, N. A. G., & Psannis, K. E.
- Venue
- Telecommunication Systems
- Published
- 2017-05-23
- Volume
- 67
- Issue
- 2
- Pages
- 247-267
- ISSN
- 1018-4864 (ISSN-L)
- 1572-9451
- OpenAlex
- W2618014102
- Cited by
- 293
- References
- 2
- FWCI
- 39.73
- Type
- journal article
- Language
- en
- Open access
- green
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