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Integrating self-efficacy into a gamified approach to thwart phishing attacks
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Security exploits can include cyber threats such as computer programs that can disturb the normal behavior of computer systems (viruses), unsolicited e-mail (spam), malicious software (malware), monitoring software (spyware), attempting to make computer resources unavailable to their intended users (Distributed Denial-of-Service or DDoS attack), the social engineering, and online identity theft (phishing). One such cyber threat, which is particularly dangerous to computer users is phishing. Phishing is well known as online identity theft, which targets to steal victims' sensitive information such as username, password and online banking details. This paper focuses on designing an innovative and gamified approach to educate individuals about phishing attacks. The study asks how one can integrate self-efficacy, which has a co-relation with the user's knowledge, into an anti-phishing educational game to thwart phishing attacks? One of the main reasons would appear to be a lack of user knowledge to prevent from phishing attacks. Therefore, this research investigates the elements that influence (in this case, either conceptual or procedural knowledge or their interaction effect) and then integrate them into an anti-phishing educational game to enhance people's phishing prevention behaviour through their motivation.
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Cited by 1 Pith paper
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Detection and Prevention of Smishing Attacks
A Naive Bayes classifier with NoSlang dictionary normalization detects smishing messages at 96.2 percent accuracy on a hand-built subset of the SMS Spam Collection.
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