Introduction
Phishing is a form of identity theft that occurs when a malicious Web site impersonates a legitimate one in order to acquire sensitive information such as passwords, account details, or credit card numbers.Though there are several anti-phishing software and techniques for detecting potential phishing attempts in emails and detecting phishing contents on websites, phishers come up with new and hybrid techniques to circumvent the available software and techniques.
Keywords
- Support Vector Machine
- Machine Learn Approach
- Conjugate Gradient Algorithm
- Identity Theft
- Automatic Model Selection
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Basnet, R., Mukkamala, S., Sung, A.H. (2008). Detection of Phishing Attacks: A Machine Learning Approach. In: Prasad, B. (eds) Soft Computing Applications in Industry. Studies in Fuzziness and Soft Computing, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77465-5_19
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DOI: https://doi.org/10.1007/978-3-540-77465-5_19
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