A novel phishing website classification method based on hybrid sampling
J Srivastava, A Sharan - Journal of Cyber Security Technology, 2024 - Taylor & Francis
In real-world anomaly detection tasks such as Credit Card Fraud Detection, Cancer Patients
Detection, Phishing Website Detection, etc., the training datasets often suffer from skewed …
Detection, Phishing Website Detection, etc., the training datasets often suffer from skewed …
[PDF][PDF] The Social Network Dilemma: Safeguarding Privacy and Security in an Online Community.
T Bikku, NS Biyyapu, JC Sekhar… - … Journal of Safety & …, 2024 - researchgate.net
Social networks have become integral to our daily lives, facilitating connections, information
sharing, and community engagement. However, concerns regarding privacy and security …
sharing, and community engagement. However, concerns regarding privacy and security …
SMOTEEN Hybrid Sampling Based Improved Phishing Website Detection
J Srivastava, A Sharan - Authorea Preprints, 2023 - techrxiv.org
Phishing Website Data set from UCI ML Repository Size (11055, 31), 11055 samples and 30
features with 1 class label. Reference [10] in the paper.[10] RM Mohammad, F. Thabtah, and …
features with 1 class label. Reference [10] in the paper.[10] RM Mohammad, F. Thabtah, and …
[PDF][PDF] A DEEP LEARNING-BASED APPROACH FOR REAL-TIME FACEMASK DETECTION
T Aparna, M Naresh - junikhyatjournal.in
The outbreak of the COVID-19 pandemic has necessitated the adoption of preventive
measures, including wearing facemasks, to mitigate the spread of the virus. As a result …
measures, including wearing facemasks, to mitigate the spread of the virus. As a result …