IEEE

Effective Intrusion Detection in Imbalanced Network Traffic using XGBoost and LightGBM

Abstract: With the continuous evolution of network attack methods, traditional Intrusion Detection Systems (IDS) face increasing challenges. To improve the accuracy and responsiveness of IDS, this ...
IEEE

Performance Analysis of Optimizers on Convolutional Neural Network for Lung Cancer Classification Using CT Scan Images

Abstract: As a potentially fatal condition, lung cancer requires immediate medical attention. In particular, with imaging methods such as Computed Tomography scan imaging, early diagnosis at the early ...
GitHub

A Python-based penetration testing toolkit that includes a port scanner to detect open ports and a brute force password simulator. The project demonstrates basic ethical ...

Penetration testing is an important part of cybersecurity that involves identifying vulnerabilities in systems, networks, and applications before attackers can exploit them. Ethical hackers and ...
Stars and Stripes

VA plans to scan a million veterans claims for signs of fraud

WASHINGTON — The Department of Veterans Affairs plans to launch an automated fraud-detection tool to scan more than a million disability benefits questionnaires for evidence of fabrication or other ...