Hemant Rathore

发表

Reduction of PAPR in FBMC System Using Different Reduction Techniques

Arun Kumar, Hemant Rathore, 2018, Journal of Optical Communications.

An Overview of Deep Learning Architecture of Deep Neural Networks and Autoencoders

Hemant Rathore, Mohit Sewak, Sanjay Kumar Sahay, 2020 .

GreenForensics: Deep hybrid edge-cloud detection and forensics system for battery-performance-balance conscious devices

Hemant Rathore, S. Sahay, Mohit Sewak, 2022, Forensic Science International: Digital Investigation.

Neural AutoForensics: Comparing Neural Sample Search and Neural Architecture Search for malware detection and forensics

Hemant Rathore, S. Sahay, Mohit Sewak, 2022, Forensic Science International: Digital Investigation.

Deep Reinforcement Learning in the Advanced Cybersecurity Threat Detection and Protection

Hemant Rathore, S. Sahay, Mohit Sewak, 2022, Information Systems Frontiers.

X-Swarm: Adversarial DRL for Metamorphic Malware Swarm Generation

Hemant Rathore, S. Sahay, Mohit Sewak, 2022, 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).

LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach

Hemant Rathore, S. Sahay, Mohit Sewak, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Overlapped Sunflower Weighted Crop Yield Estimation Based on Edge Detection

V. Sharma, Hemant Rathore, S. Chaturvedi, 2018, Communications in Computer and Information Science.

Android Malicious Application Classification Using Clustering pdf

Hemant Rathore, Sanjay K. Sahay, Palash Chaturvedi, 2018, ISDA.

Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2018, 2018 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD).

Evolution of Malware and Its Detection Techniques

Sanjay Kumar Sahay, Ashu Sharma, Hemant Rathore, 2019, Information and Communication Technology for Sustainable Development.

Robust Android Malware Detection System Against Adversarial Attacks Using Q-Learning

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2020, Information Systems Frontiers.

Malware Detection Using Machine Learning and Deep Learning pdf

Hemant Rathore, Swati Agarwal, Sanjay K. Sahay, 2018, BDA.

Designing Adversarial Attack and Defence for Robust Android Malware Detection Models

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2021, 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S).

Are Android Malware Detection Models Adversarially Robust?: Poster Abstract

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2021, IPSN.

Identification of Significant Permissions for Efficient Android Malware Detection

Hemant Rathore, S. Sahay, Mohit Sewak, 2021, BROADNETS.

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

Hemant Rathore, S. Sahay, Mohit Sewak, 2021, BROADNETS.

Are Malware Detection Classifiers Adversarially Vulnerable to Actor-Critic based Evasion Attacks?

Hemant Rathore, S. Sahay, Mohit Sewak, 2022, EAI Endorsed Transactions on Scalable Information Systems.

DRLDO: A novel DRL based De-ObfuscationSystem for Defense against Metamorphic Malware pdf

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2021, Defence Science Journal.

DeepIntent: ImplicitIntent based Android IDS with E2E Deep Learning architecture

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2020, 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications.

Policy-Approximation Based Deep Reinforcement Learning Techniques: An Overview

Hemant Rathore, S. Sahay, Mohit Sewak, 2021, Information and Communication Technology for Competitive Strategies (ICTCS 2020).

Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review

Hemant Rathore, S. Sahay, Mohit Sewak, 2022, SKM.

ADVERSARIALuscator: An Adversarial-DRL based Obfuscator and Metamorphic Malware Swarm Generator

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

DOOM: a novel adversarial-DRL-based op-code level metamorphic malware obfuscator for the enhancement of IDS

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2020, UbiComp/ISWC Adjunct.

An investigation of a deep learning based malware detection system

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2018, ARES.

Towards Robust Android Malware Detection Models using Adversarial Learning

Hemant Rathore, Sanjay K. Sahay, Hemant Rathore, 2021, 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops).

Reduction of Peak Average Power Ratio for FBMC Waveform with P-PTS Technique

Hemant Rathore, Arun Kumar, Hemant Rathore, 2020 .

Modified DSLM Technique for PAPR Reduction in FBMC System

Arun Kumar, Hemant Rathore, 2019, Radioelectronics and Communications Systems.

Value-Approximation based Deep Reinforcement Learning Techniques: An Overview

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2020, 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA).

DRo: A data-scarce mechanism to revolutionize the performance of DL-based Security Systems

Mohit Sewak, Hemant Rathore, Sanjay K. Sahay, 2021, 2021 IEEE 46th Conference on Local Computer Networks (LCN).

Defending malware detection models against evasion based adversarial attacks

Hemant Rathore, S. Sahay, Mohit Sewak, 2022, Pattern Recognit. Lett..

Socio-Cellular Network: A Novel Social Assisted Cellular Communication Paradigm

Hemant Rathore, Swati Agarwal, Rahul Thakur, 2020, 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring).