Detection of phishing URLS using machine Learning techniques

dc.contributor.author	Sheraz Naveed, 01-134171-072
dc.date.accessioned	2021-01-10T03:58:01Z
dc.date.available	2021-01-10T03:58:01Z
dc.date.issued	2021
dc.identifier.uri	http://hdl.handle.net/123456789/10729
dc.description	Supervised by Ms. Momina Moetesum	en_US
dc.description.abstract	Phishing is an illegal method that is utilized over the Internet to distract end user with the objective of extricating their own data, for example, username, passwords, Mastercard, and financial balance data. Attacker or cybercriminals create exist replica of any existing website like PayPal or any other organization that fools the user into believing that the website is legitimate so in that way the attacker can steal their personal information or any credit card details. There are numerous URLs which are intended to steal the information of the user including security passwords and credit card details, Personal Identification Number (PIN) etc. Such type of fraudulent activities is happening all around the world. This project aims to develop a system for automatic detection of such URLs which are actively involved in accessing the personal information	en_US
dc.language.iso	en	en_US
dc.publisher	Bahria University Islamabad Campus	en_US
dc.relation.ispartofseries	BS (CS);P-9007
dc.subject	Computer Science	en_US
dc.title	Detection of phishing URLS using machine Learning techniques	en_US
dc.type	Project Reports	en_US