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Viewing Publication 1 - 48 from 48

2023

RL-MAGE: Strengthening Malware Detectors Against Smart AdversariesAdarsh Nandanwar, Hemant Rathore, Sanjay K. Sahay, Mohit Sewak. iccs 2023: 77-92 [doi]

Breaking the Anti-malware: EvoAAttack Based on Genetic Algorithm Against Android Malware Detection SystemsHemant Rathore, Praneeth B, Sundaraja Sitharama Iyengar, Sanjay K. Sahay. iccs 2023: 535-550 [doi]

Adversarial superiority in android malware detection: Lessons from reinforcement learning based evasion attacks and defensesHemant Rathore, Adarsh Nandanwar, Sanjay K. Sahay, Mohit Sewak. di, 44(Supplement):301511, March 2023. [doi]

Towards Adversarially Superior Malware Detection Models: An Adversary Aware Proactive Approach using Adversarial Attacks and DefensesHemant Rathore, Adithya Samavedhi, Sanjay K. Sahay, Mohit Sewak. isf, 25(2):567-587, April 2023. [doi]

Deep Reinforcement Learning in the Advanced Cybersecurity Threat Detection and ProtectionMohit Sewak, Sanjay K. Sahay, Hemant Rathore. isf, 25(2):589-611, April 2023. [doi]

2022

Android Malware Detection Based on Static Analysis and Data Mining Techniques: A Systematic Literature ReviewHemant Rathore, Soham Chari, Nishant Verma, Sanjay K. Sahay, Mohit Sewak. broadnets 2023: 51-71 [doi]

Malware Analysis and DetectionHemant Rathore, Mohit Sewak. aiml2 2022: [doi]

MalEfficient10%: A Novel Feature Reduction Approach for Android Malware DetectionHemant Rathore, Ajay Kharat, Rashmi T, Adithya Manickavasakam, Sanjay K. Sahay, Mohit Sewak. broadnets 2023: 72-92 [doi]

Are Malware Detection Models Adversarial Robust Against Evasion Attack?Hemant Rathore, Adithya Samavedhi, Sanjay K. Sahay, Mohit Sewak. infocom 2022: 1-2 [doi]

Are Malware Detection Classifiers Adversarially Vulnerable to Actor-Critic based Evasion Attacks?Hemant Rathore, Sujay C. Sharma, Sanjay K. Sahay, Mohit Sewak. sis, 10(1), 2022. [doi]

Defending malware detection models against evasion based adversarial attacksHemant Rathore, Animesh Sasan, Sanjay K. Sahay, Mohit Sewak. prl, 164:119-125, 2022. [doi]

Deep CounterStrike: Counter Adversarial Deep Reinforcement Learning for Defense Against Metamorphic Ransomware Swarm AttackMohit Sewak, Sanjay K. Sahay, Hemant Rathore. broadnets 2023: 31-50 [doi]

X-Swarm: Adversarial DRL for Metamorphic Malware Swarm GenerationMohit Sewak, Sanjay K. Sahay, Hemant Rathore. percom 2022: 169-174 [doi]

Neural AutoForensics: Comparing Neural Sample Search and Neural Architecture Search for malware detection and forensicsMohit Sewak, Sanjay K. Sahay, Hemant Rathore. di, 43(Supplement):301444, 2022. [doi]

GreenForensics: Deep hybrid edge-cloud detection and forensics system for battery-performance-balance conscious devicesMohit Sewak, Sanjay K. Sahay, Hemant Rathore. di, 43(Supplement):301445, 2022. [doi]

2021

Credit Card Fraud Detection Using K-Means Combined with Supervised LearningShreyans Jain, Nishant Verma, Rashid Ahmed, Aman Tayal, Hemant Rathore. his 2022: 262-272 [doi]

Sentiment Analysis of IMDb Movie Reviews: A Comparative Analysis of Feature Selection and Feature Extraction TechniquesGahina Karak, Shubham Mishra, Arkadyuti Bandyopadhyay, Pavirala Ranga Sai Rohith, Hemant Rathore. his 2022: 283-294 [doi]

Duplicates in the Drebin Dataset and Reduction in the Accuracy of the Malware Detection ModelsJyotiprakash Mishra, Sanjay K. Sahay, Hemant Rathore, Lokesh Kumar. apcc 2021: 161-165 [doi]

Intrusion Detection System Based on Machine and Deep Learning Models: A Comparative and Exhaustive StudyHemlatha Pandey, Tejal Lalitkumar Karnavat, Mandadapu Naga Sai Sandilya, Shashwat Katiyar, Hemant Rathore. his 2022: 407-418 [doi]

Designing Adversarial Robust and Explainable Malware Detection System for Android based Smartphones: PhD Forum AbstractHemant Rathore. ipsn 2021: 412-413 [doi]

Towards Robust Android Malware Detection Models using Adversarial LearningHemant Rathore, Sanjay K. Sahay. percom 2021: 424-425 [doi]

Image-based Android Malware Detection Models using Static and Dynamic FeaturesHemant Rathore, B. Raja Narasimhan, Sanjay K. Sahay, Mohit Sewak. isda 2022: 1292-1305 [doi]

Designing Adversarial Attack and Defence for Robust Android Malware Detection ModelsHemant Rathore, Sanjay K. Sahay, Jasleen Dhillon, Mohit Sewak. dsn 2021: 29-32 [doi]

Are Android Malware Detection Models Adversarially Robust?: Poster AbstractHemant Rathore, Sanjay K. Sahay, Mohit Sewak. ipsn 2021: 408-409 [doi]

Adversarial Robustness of Image Based Android Malware Detection ModelsHemant Rathore, Taeeb Bandwala, Sanjay K. Sahay, Mohit Sewak. skm 2022: 3-22 [doi]

Are CNN based Malware Detection Models Robust?: Developing Superior Models using Adversarial Attack and DefenseHemant Rathore, Taeeb Bandwala, Sanjay K. Sahay, Mohit Sewak. sensys 2021: 355-356 [doi]

Robust Malware Detection Models: Learning from Adversarial Attacks and DefensesHemant Rathore, Adithya Samavedhi, Sanjay K. Sahay, Mohit Sewak. di, 37(Supplement):301183, 2021. [doi]

Identification of Adversarial Android Intents using Reinforcement LearningHemant Rathore, Piyush Nikam, Sanjay K. Sahay, Mohit Sewak. ijcnn 2021: 1-8 [doi]

Robust Android Malware Detection System Against Adversarial Attacks Using Q-LearningHemant Rathore, Sanjay K. Sahay, Piyush Nikam, Mohit Sewak. isf, 23(4):867-882, 2021. [doi]

Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A ReviewMohit Sewak, Sanjay K. Sahay, Hemant Rathore. skm 2022: 51-72 [doi]

ADVERSARIALuscator: An Adversarial-DRL based Obfuscator and Metamorphic Malware Swarm GeneratorMohit Sewak, Sanjay K. Sahay, Hemant Rathore. ijcnn 2021: 1-9 [doi]

DRo: A data-scarce mechanism to revolutionize the performance of DL-based Security SystemsMohit Sewak, Sanjay K. Sahay, Hemant Rathore. lcn 2021: 581-588 [doi]

LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection ApproachMohit Sewak, Sanjay K. Sahay, Hemant Rathore. ijcnn 2021: 1-9 [doi]

2020

Socio-Cellular Network: A Novel Social Assisted Cellular Communication ParadigmSwati Agarwal 0001, Rahul Thakur, Utkarsh Yadav, Hemant Rathore. vtc 2020: 1-5 [doi]

Detection of Fake News Based on Domain Analysis and Social Network PsychologyDipayan Deb, Ratti Sai Pavan, Azad Nautiyal, Ameya Phadnis, Hemant Rathore. his 2021: 433-443 [doi]

Emotion Recognition Using MultimodalitiesAjay Kharat, Ashish Patel, Dhruv Bhatt, Nand Parikh, Hemant Rathore. his 2021: 309-319 [doi]

Movie Recommendation System Addressing Changes in User Preferences with TimeDhairya Parikh, Dilpreet Kaur, Kajal Parikh, Prakhar Yadav, Hemant Rathore. his 2021: 473-483 [doi]

Adversarial attacks on malware detection models for smartphones using reinforcement learning: PhD forum abstractHemant Rathore. sensys 2020: 796-797 [doi]

Identification of Significant Permissions for Efficient Android Malware DetectionHemant Rathore, Sanjay K. Sahay, Ritvik Rajvanshi, Mohit Sewak. broadnets 2021: 33-52 [doi]

Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with ClusteringHemant Rathore, Sanjay K. Sahay, Shivin Thukral, Mohit Sewak. broadnets 2021: 109-128 [doi]

How robust are malware detection models for Android smartphones against adversarial attacks?: poster abstractHemant Rathore, Sanjay K. Sahay, Mohit Sewak. sensys 2020: 683-684 [doi]

DeepIntent: ImplicitIntent based Android IDS with E2E Deep Learning architectureMohit Sewak, Sanjay K. Sahay, Hemant Rathore. pimrc 2020: 1-6 [doi]

DOOM: a novel adversarial-DRL-based op-code level metamorphic malware obfuscator for the enhancement of IDSMohit Sewak, Sanjay K. Sahay, Hemant Rathore. huc 2020: 131-134 [doi]

Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDSMohit Sewak, Sanjay K. Sahay, Hemant Rathore. tencon 2020: 414-419 [doi]

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