Open AccessIntelligent Classification Method for Web page Manipulation Detection
Author(s) -
V. Roopa,
K Santhosh babu,
B. Prabhakaran
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1916/1/012073
Subject(s) - computer science , construct (python library) , reuse , identity (music) , web page , world wide web , information retrieval , order (exchange) , social media , data mining , engineering , programming language , waste management , physics , finance , acoustics , economics
In this paper, we endorse fake detection, a questionable Twitter URL identity system. Our system looks at URL links isolated from certain tweets. Given that aggressors have limited assets and usually reuse them, the URLs of their distracting chains often share similar URLs. We construct techniques to detect and evaluate their doubt by using the frequently exchanged URLs. We acquire numerous public Twitter tweets and build an observable classification model for them. Assessment results indicate that the classifiers identifies questionable URLs correctly and efficiently. Furthermore, we pose fake DETECTION information to circulate within the Twitter as a connected to ongoing mechanism to order dubious URLs.