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06/06/2022
Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review
The cybersecurity threat landscape has lately become overly complex. Thr...
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10/13/2021
Privacy-Preserving Mutual Authentication and Key Agreement Scheme for Multi-Server Healthcare System
The usage of different technologies and smart devices helps people to ge...
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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...
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09/23/2021
ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator
Advanced metamorphic malware and ransomware, by using obfuscation, could...
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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...
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02/28/2021
Identification of Significant Permissions for Efficient Android Malware Detection
Since Google unveiled Android OS for smartphones, malware are thriving w...
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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...
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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...
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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...
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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 ...
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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...
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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...
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04/19/2020
Secure and Energy-Efficient Key-Agreement Protocol for Multi-Server Architecture
Authentication schemes are practised globally to verify the legitimacy o...
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12/30/2019
Secure Communication Protocol for Smart Transportation Based on Vehicular Cloud
The pioneering concept of connected vehicles has transformed the way of ...
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12/30/2019
Secure Communication Protocol for Smart Transportation Based on VC]Secure Communication Protocol for Smart Transportation Based on Vehicular Cloud
The pioneering concept of connected vehicles has transformed the way of ...
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05/30/2019
An Efficient Detection of Malware by Naive Bayes Classifier Using GPGPU
Due to continuous increase in the number of malware (according to AV-Tes...
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05/30/2019
A Survey on the Detection of Android Malicious Apps
Android-based smart devices are exponentially growing, and due to the ub...
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04/21/2019
Android Malicious Application Classification Using Clustering
Android malware have been growing at an exponential pace and becomes a s...
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04/04/2019
Malware Detection using Machine Learning and Deep Learning
Research shows that over the last decade, malware has been growing expon...
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04/03/2019
Group-wise classification approach to improve Android malicious apps detection accuracy
In the fast-growing smart devices, Android is the most popular OS, and d...
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03/07/2019
Detection of Advanced Malware by Machine Learning Techniques
In today's digital world most of the anti-malware tools are signature ba...
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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...
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09/16/2018
An investigation of a deep learning based malware detection system
We investigate a Deep Learning based system for malware detection. In th...
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02/23/2018