Title :
Survey of anti-phishing tools with detection capabilities
Author :
Zeydan, Hiba Zuhair ; Selamat, Ali ; Salleh, Mazleena
Author_Institution :
Fac. of Comput., Univ. Teknol. Malaysia (UTM), Skudai, Malaysia
Abstract :
Phishers have been continually changed their tricks and emerged novel variants for more security violations and causes of monetary losses in business organizations. The lack of existing anti-phishing solutions considered as an optimum anti-phishing is because of detection incapability specifically against novel phishes. This paper classifies the existing anti-phishing tools, identifies their detection incapability against several kinds of novel phishes and underscores the issues behind this problem. Further it suggests next wave of research to solve it. Targeting academic and industry researchers, this paper provide a valuable source of information to contribute the cyberspace with new products and fulfill the security flaws.
Keywords :
Internet; computer crime; pattern classification; Internet phishing; antiphishing tools; business organizations; cyberspace; detection capability; monetary losses; security flaws; Browsers; Electronic mail; Feature extraction; Information filters; Internet; Security; Internet phishing; anti-phishing; detection capability; novel phishes;
Conference_Titel :
Biometrics and Security Technologies (ISBAST), 2014 International Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-6443-7
DOI :
10.1109/ISBAST.2014.7013124