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with Phishing attack as keyword
Basit, Abdul Zafar, Maham Liu, Xuan Javed, Abdul Rehman Jalil, Zunera Kifayat, Kashif
Published in
Telecommunication systems
In recent times, a phishing attack has become one of the most prominent attacks faced by internet users, governments, and service-providing organizations. In a phishing attack, the attacker(s) collects the client's sensitive data (i.e., user account login details, credit/debit card numbers, etc.) by using spoofed emails or fake websites. Phishing w...
HR, Mohith Gowda MV, Adithya S, Gunesh Prasad S, Vinay
Published in
Cybersecurity
Phishing is a technique under Social Engineering attacks which is most widely used to get user sensitive information, such as login credentials and credit and debit card information, etc. It is carried out by a person masquerading as an authentic individual. To protect web users from these attacks, various anti-phishing techniques are developed, bu...
Jain, Ankit Kumar Gupta, B. B.
Published in
Journal of Ambient Intelligence and Humanized Computing
This paper presents a novel approach that can detect phishing attack by analysing the hyperlinks found in the HTML source code of the website. The proposed approach incorporates various new outstanding hyperlink specific features to detect phishing attack. The proposed approach has divided the hyperlink specific features into 12 different categorie...
Jain, Ankit Kumar Gupta, B. B.
Published in
Telecommunication Systems
The existing anti-phishing approaches use the blacklist methods or features based machine learning techniques. Blacklist methods fail to detect new phishing attacks and produce high false positive rate. Moreover, existing machine learning based methods extract features from the third party, search engine, etc. Therefore, they are complicated, slow ...
