Phishing Website Detection Based on Machine Learning: A Survey

被引:0
|
作者
Singh, Charu [1 ]
Meenu [1 ]
机构
[1] Madan Mohan Malaviya Univ Technol, Dept Comp Sci & Engn, Gorakhpur, Uttar Pradesh, India
来源
2020 6TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATION SYSTEMS (ICACCS) | 2020年
关键词
Social Engineering; Phishing; Legitimate; Machine Learning;
D O I
10.1109/icaccs48705.2020.9074400
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Phishing attacks are cybererime in today's world which are done by social engineering and malware based. It is one of the most dangerous threats that every individuals and organization faced. URLs are known as web links are by which users locate information on the internet. The review creates awareness of phishing attacks, detection of phishing attacks and encourages the practice of phishing prevention among the readers. In phishing, phishers use email or message, as a weapon to target individual or organization by send URL link to target people and to deceive them. With the huge number of phishing emails or messages received every day, companies or individuals are not able to detect all of them. Here, different reviews give for detection of phishing attack, by using machine learning. Here it is used for detecting the web links, i.e., either phishing or legitimate.
引用
收藏
页码:398 / 404
页数:7
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