作者
Junaid Rashid, Toqeer Mahmood, Muhammad Wasif Nisar, Tahira Nazir
发表日期
2020/11/3
研讨会论文
2020 first international conference of smart systems and emerging technologies (SMARTTECH)
页码范围
43-46
出版商
IEEE
简介
Today, everyone is highly dependent on the internet. Everyone performed online shopping and online activities such as online Bank, online booking, online recharge and more on internet. Phishing is a type of website threat and phishing is Illegally on the original website Information such as login id, password and information of credit card. This paper proposed an efficient machine learning based phishing detection technique. Overall, experimental results show that the proposed technique, when integrated with the Support vector machine classifier, has the best performance of accurately distinguishing 95.66% of phishing and appropriate websites using only 22.5% of the innovative functionality. The proposed technique exhibits optimistic results when benchmarking with a range of standard phishing datasets of the “University of California Irvine (UCI)” archive. Therefore, proposed technique is preferred and used …
引用总数
学术搜索中的文章
J Rashid, T Mahmood, MW Nisar, T Nazir - 2020 first international conference of smart systems …, 2020