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Avoiding the Phishing Bait: The Need for Conventional Countermeasures for Mobile Users

Baadel, Said, Thabtah, Fadi and Majeed, Asim (2018) Avoiding the Phishing Bait: The Need for Conventional Countermeasures for Mobile Users. In: 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 1-3 Nov. 2018, Vancouver.

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According to the international Anti-Phishing Work Group (APWG), phishing activities have significantly risen over the last few years, and users are becoming more susceptible to online and mobile fraud. Machine Learning (ML) techniques have the potential for building technical anti-phishing models, a majority of them have yet to be applied in a real-time environment. ML models also require domain experts to interpret the results. This gives conventional techniques a vital role as supportive tools for a wider audience, especially novice users, in order to reduce the rate of phishing attacks. Our paper aims at raising awareness and educating users on phishing in general and mobile phishing in particular from a conventional perspective, unlike existing reviews that are based on data mining and machine learning. This will equip individuals with knowledge and skills that may prevent phishing on a wider context within the mobile users’ community.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Anti-phishing; Cyber Security, Embedded Training; Smishing
Subjects: H Social Sciences > H Social Sciences (General)
K Law > K Law (General)
L Education > L Education (General)
Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
T Technology > T Technology (General)
Schools: School of Computing and Engineering
Depositing User: Said Baadel
Date Deposited: 08 Oct 2019 09:58
Last Modified: 28 Aug 2021 14:47


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