research
∙
06/06/2022
Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review
The cybersecurity threat landscape has lately become overly complex. Thr...
share
research
∙
09/23/2021
LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach
Long-Short-Term-Memory (LSTM) networks have shown great promise in artif...
research
∙
09/23/2021
ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator
Advanced metamorphic malware and ransomware, by using obfuscation, could...
research
∙
09/12/2021
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems
Supervised Deep Learning requires plenty of labeled data to converge, an...
research
∙
02/28/2021
Identification of Significant Permissions for Efficient Android Malware Detection
Since Google unveiled Android OS for smartphones, malware are thriving w...
research
∙
02/28/2021
Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering
Today anti-malware community is facing challenges due to the ever-increa...
research
∙
02/01/2021
DRLDO: A novel DRL based De-ObfuscationSystem for Defense against Metamorphic Malware
In this paper, we propose a novel mechanism to normalize metamorphic and...
research
∙
01/27/2021
Robust Android Malware Detection System against Adversarial Attacks using Q-Learning
The current state-of-the-art Android malware detection systems are based...
research
∙
12/26/2020
Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS
Recurrent deep learning language models like the LSTM are often used to ...
research
∙
10/16/2020
DOOM: A Novel Adversarial-DRL-Based Op-Code Level Metamorphic Malware Obfuscator for the Enhancement of IDS
We designed and developed DOOM (Adversarial-DRL based Opcode level Obfus...
research
∙
10/16/2020
DeepIntent: ImplicitIntent based Android IDS with E2E Deep Learning architecture
The Intent in Android plays an important role in inter-process and intra...
research
∙
04/21/2019
Android Malicious Application Classification Using Clustering
Android malware have been growing at an exponential pace and becomes a s...
research
∙
04/04/2019
Malware Detection using Machine Learning and Deep Learning
Research shows that over the last decade, malware has been growing expon...
research
∙
09/16/2018
Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection
Recently, Deep Learning has been showing promising results in various Ar...
research
∙
09/16/2018