[PDF][PDF] Antiphishing Model Based on Similarity Index and Neural Networks

B Sharma, DP Singh, DJ Kaur… - International Journal of …, 2019 - researchgate.net
Phishing is a negative technique that is used to steel private and confidential information
over the web. In the present work author proposed a hybrid similarity of Cosine and Soft …

An anti-phishing model based on similarity measurement

P Singh, B Sharma, J Kaur - International Journal of …, 2022 - inderscienceonline.com
Phishing has represented a more noteworthy danger to clients. In the current work, the
authors attempted to build up a powerful anti-phishing technique based on hybrid similarity …

Cosine and Soft Cosine Similarity-Based Anti-Phishing Model

B Sharma, P Singh, J Kaur - New Approaches for Multidimensional Signal …, 2021 - Springer
Phishing attack has posed a greater threat to user information over network. In addition to
the existence of various disguise illegal URL's, instances had been seen when users are …

Anti-phishing model based on relative content mining

P Singh, B Sharma - International Journal of Computational …, 2022 - inderscienceonline.com
Phishing has attracted larger section of researchers and application developers not due to
the rising instances of phishing attacks but also due to the sophisticated techniques that are …

[PDF][PDF] Detecting phishing web pages using NB classifier and EMD approach

PP Akare, H Mohm, H Maniyar, TD Thorat… - International Journal on …, 2015 - academia.edu
Phishing is online security attack where attacker create replica of exiting web page for
accessing users password, personal, financial data. Phishing is a form of online fraudulent …

[PDF][PDF] Detect and prevent phishing based on hybrid approach

HBA Wahab, TM Faisal - Al-Mansour Journal, 2020 - iasj.net
Phishing is one of the web threats, A phishing attack is considered successful if the user
unknowing submits his personal information to the attacker such these attacks become …

An improved anti‐phishing model utilizing TF‐IDF and AdaBoost

B Sharma, P Singh - Concurrency and Computation: Practice …, 2022 - Wiley Online Library
A behavior over the internet, which results into false utilization of the resources is termed as
phishing and the techniques to identify them are termed as anti‐phishing frames and …

[PDF][PDF] Comparison of the efficiency of machine learning algorithms for phishing detection from uniform resource locator

AN Tultul, R Afroz, MA Hossain - Indonesian Journal of Electrical …, 2022 - academia.edu
We are using cyberspace for completing our daily life activities because of the growth of
Internet. Attackers use some approachs, such as phishing, with the use of false websites to …

IntAnti-Phish: An intelligent anti-phishing framework using backpropagation neural network

SSMM Rahman, L Gope, T Islam, M Alazab - Machine Intelligence and Big …, 2021 - Springer
Among the cybercriminals, the popularity of phishing has been rapidly growing day by day.
Therefore, phishing has become an alarming issue to solve in the field of cybersecurity …

[PDF][PDF] Content based approach for detection of phishing sites

A Gupta, J Joshi, K Thakker - Published in International Research …, 2015 - academia.edu
Phishing is a significant problem involving fraudulent email and web sites that trick
unsuspecting users into revealing private information. In this paper, we present the design …