96 citations · 174 across the 26 of their papers we have counts for
4 papers · 1 filter
The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities
Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah +2
The detection of zero-day attacks and vulnerabilities is a challenging problem. It is of utmost importance for network administrators to identify them with high accuracy. The highe…
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM
Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
Machine and deep learning-based algorithms are the emerging approaches in addressing prediction problems in time series. These techniques have been shown to produce more accurate r…
Markov Decision Process to Enforce Moving Target Defence Policies
Jianjun Zheng, Akbar Siami Namin
Moving Target Defense (MTD) is an emerging game-changing defense strategy in cybersecurity with the goal of strengthening defenders and conversely puzzling adversaries in a network…
Deep Reinforcement Learning for Detecting Malicious Websites
Moitrayee Chatterjee, Akbar Siami Namin
Phishing is the simplest form of cybercrime with the objective of baiting people into giving away delicate information such as individually recognizable data, banking and credit ca…