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Detection of Malicious Web Contents using Machine and Deep Learning Approaches PDF

6 Pages·2021·English
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About Detection of Malicious Web Contents using Machine and Deep Learning Approaches

Websites have been the main target of intruders due to the fast progression of the Internet. An invader implants malicious content in a website page in order to perform a variety of bad and unwanted actions, such as stealing credentials and resources, tempting a web handler to an unsafe website, installing or downloading software to link a botnet, or participating in dispersed denial of service attacks. It can also damage user’s system. Uninvited web content such as phishing, spam, and drive-by-

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Author:['International Journal of Application or Innovation in Engineering & Management']
Publication Year:2021
Pages:6
Language:English
Format:PDF
Price:FREE
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