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Alshehri, Mohammed; Abugabah, Ahed; Algarni, Abdullah; Almotairi, Sultan
Computers & electrical engineering, 20/May , Letnik: 100Journal Article
•Cyber-crimes reported in the last quarter globally, 21% fall into the phishing category•character-level encoding decreases the discrete workspace and can be effective even in an energy-constrained environment•lightweight deep learning model for the detection of malicious URLs•use of character-level embedding was performed, and it was found that the execution time was 30% A cyber threat is generally a malicious activity that damages or steals data, or something that disrupts digital life. Such threats include viruses, security breaches, DoS attacks, and data theft. Phishing is a type of cyber threat whereby the attackers mimic a genuine URL or a webpage and steal user data, 21% fall into the phishing category. The novel approach of using the character-level encoding of URLs is introduced. Unlike word-level encoding, the use of character-level encoding decreases the discrete workspace and can be effective even in an energy-constrained environment. The experimental results of comparisons to other state-of-the-art methods demonstrate that the proposed method achieved 98.12% of true positive instances. Moreover, Conclusions: An experimental evaluation was performed to demonstrate the efficiency, and it was observed that the accuracy reached an all-time high of 98.13%. the experiments prove that the proposed method can operate efficiently even in energy-saving modes of phishing detection systems. Display omitted
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Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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in: SICRIS
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