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Detection of Malicious Android Applications: Classical Machine Learning
  vs. Deep Neural Network Integrated with Clustering

Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering

28 February 2021
Hemant Rathore
S. K. Sahay
Shivin Thukral
Mohit Sewak
ArXiv (abs)PDFHTML

Papers citing "Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering"

4 / 4 papers shown
Title
Deep Reinforcement Learning for Cybersecurity Threat Detection and
  Protection: A Review
Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review
Mohit Sewak
S. K. Sahay
Hemant Rathore
AAML
51
27
0
06 Jun 2022
LSTM Hyper-Parameter Selection for Malware Detection: Interaction
  Effects and Hierarchical Selection Approach
LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach
Mohit Sewak
S. K. Sahay
Hemant Rathore
59
5
0
23 Sep 2021
ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic
  Malware SwarmGenerator
ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator
Mohit Sewak
S. K. Sahay
Hemant Rathore
AAML
58
8
0
23 Sep 2021
DRo: A data-scarce mechanism to revolutionize the performance of Deep
  Learning based Security Systems
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems
Mohit Sewak
S. K. Sahay
Hemant Rathore
71
5
0
12 Sep 2021
1