Mohit Sewak

According to our database, Mohit Sewak authored at least 42 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep Reinforcement Learning in the Advanced Cybersecurity Threat Detection and Protection.

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Inf. Syst. Frontiers, April, 2023

Towards Adversarially Superior Malware Detection Models: An Adversary Aware Proactive Approach using Adversarial Attacks and Defenses.

Hemant Rathore, Adithya Samavedhi, Sanjay K. Sahay, Mohit Sewak

Inf. Syst. Frontiers, April, 2023

Adversarial superiority in android malware detection: Lessons from reinforcement learning based evasion attacks and defenses.

Hemant Rathore, Adarsh Nandanwar, Sanjay K. Sahay, Mohit Sewak

Forensic Sci. Int. Digit. Investig., March, 2023

RL-MAGE: Strengthening Malware Detectors Against Smart Adversaries.

Adarsh Nandanwar, Hemant Rathore, Sanjay K. Sahay, Mohit Sewak

Proceedings of the Computational Science - ICCS 2023, 2023

Making Large Language Models Better Data Creators.

Dong-Ho Lee, Jay Pujara, Mohit Sewak, Ryen White, Sujay Kumar Jauhar

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CRUSH: Cybersecurity Research using Universal LLMs and Semantic Hypernetworks.

Mohit Sewak, Vamsi Emani, Annam Naresh

Proceedings of the Workshop on Enterprise Knowledge Graphs using Large Language Models (EKG-LLM 2023) co-located with 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), 2023

2022

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

Hemant Rathore, Sujay C. Sharma, Sanjay K. Sahay, Mohit Sewak

EAI Endorsed Trans. Scalable Inf. Syst., 2022

Defending malware detection models against evasion based adversarial attacks.

Hemant Rathore, Animesh Sasan, Sanjay K. Sahay, Mohit Sewak

Pattern Recognit. Lett., 2022

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

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Digit. Investig., 2022

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

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Digit. Investig., 2022

X-Swarm: Adversarial DRL for Metamorphic Malware Swarm Generation.

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

Are Malware Detection Models Adversarial Robust Against Evasion Attack?

Hemant Rathore, Adithya Samavedhi, Sanjay K. Sahay, Mohit Sewak

Proceedings of the IEEE INFOCOM 2022, 2022

Deep CounterStrike: Counter Adversarial Deep Reinforcement Learning for Defense Against Metamorphic Ransomware Swarm Attack.

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Proceedings of the Broadband Communications, Networks, and Systems, 2022

MalEfficient10%: A Novel Feature Reduction Approach for Android Malware Detection.

Hemant Rathore, Ajay Kharat, Rashmi T, Adithya Manickavasakam, Sanjay K. Sahay, Mohit Sewak

Proceedings of the Broadband Communications, Networks, and Systems, 2022

Android Malware Detection Based on Static Analysis and Data Mining Techniques: A Systematic Literature Review.

Hemant Rathore, Soham Chari, Nishant Verma, Sanjay K. Sahay, Mohit Sewak

Proceedings of the Broadband Communications, Networks, and Systems, 2022

Malware Analysis and Detection.

Hemant Rathore, Mohit Sewak

Proceedings of the Second International Conference on AI-ML Systems, 2022

2021

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

Hemant Rathore, Sanjay K. Sahay, Piyush Nikam, Mohit Sewak

Inf. Syst. Frontiers, 2021

Robust Malware Detection Models: Learning from Adversarial Attacks and Defenses.

Hemant Rathore, Adithya Samavedhi, Sanjay K. Sahay, Mohit Sewak

Digit. Investig., 2021

ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator.

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

CoRR, 2021

DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems.

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

CoRR, 2021

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

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

CoRR, 2021

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

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Proceedings of the Secure Knowledge Management In The Artificial Intelligence Era, 2021

Adversarial Robustness of Image Based Android Malware Detection Models.

Hemant Rathore, Taeeb Bandwala, Sanjay K. Sahay, Mohit Sewak

Proceedings of the Secure Knowledge Management In The Artificial Intelligence Era, 2021

Are CNN based Malware Detection Models Robust?: Developing Superior Models using Adversarial Attack and Defense.

Hemant Rathore, Taeeb Bandwala, Sanjay K. Sahay, Mohit Sewak

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

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

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Proceedings of the 46th IEEE Conference on Local Computer Networks, 2021

Image-based Android Malware Detection Models using Static and Dynamic Features.

Hemant Rathore, B. Raja Narasimhan, Sanjay K. Sahay, Mohit Sewak

Proceedings of the Intelligent Systems Design and Applications, 2021

Are Android Malware Detection Models Adversarially Robust?: Poster Abstract.

Hemant Rathore, Sanjay K. Sahay, Mohit Sewak

Proceedings of the IPSN '21: The 20th International Conference on Information Processing in Sensor Networks, 2021

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

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Proceedings of the International Joint Conference on Neural Networks, 2021

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

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Proceedings of the International Joint Conference on Neural Networks, 2021

Identification of Adversarial Android Intents using Reinforcement Learning.

Hemant Rathore, Piyush Nikam, Sanjay K. Sahay, Mohit Sewak

Proceedings of the International Joint Conference on Neural Networks, 2021

Designing Adversarial Attack and Defence for Robust Android Malware Detection Models.

Hemant Rathore, Sanjay K. Sahay, Jasleen Dhillon, Mohit Sewak

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

2020

Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS.

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Proceedings of the 2020 IEEE Region 10 Conference, 2020

How robust are malware detection models for Android smartphones against adversarial attacks?: poster abstract.

Hemant Rathore, Sanjay K. Sahay, Mohit Sewak

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

DeepIntent: ImplicitIntent based Android IDS with E2E Deep Learning architecture.

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

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

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

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

Hemant Rathore, Sanjay K. Sahay, Shivin Thukral, Mohit Sewak

Proceedings of the Broadband Communications, Networks, and Systems, 2020

Identification of Significant Permissions for Efficient Android Malware Detection.

Hemant Rathore, Sanjay K. Sahay, Ritvik Rajvanshi, Mohit Sewak

Proceedings of the Broadband Communications, Networks, and Systems, 2020

2019

Deep Reinforcement Learning - Frontiers of Artificial Intelligence

Mohit Sewak

Springer, ISBN: 978-981-13-8284-0, 2019

2018

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

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Proceedings of the 19th IEEE/ACIS International Conference on Software Engineering, 2018

Android Malicious Application Classification Using Clustering.

Hemant Rathore, Sanjay K. Sahay, Palash Chaturvedi, Mohit Sewak

Proceedings of the Intelligent Systems Design and Applications, 2018

Malware Detection Using Machine Learning and Deep Learning.

Hemant Rathore, Swati Agarwal, Sanjay K. Sahay, Mohit Sewak

Proceedings of the Big Data Analytics - 6th International Conference, 2018

An investigation of a deep learning based malware detection system.

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

Proceedings of the 13th International Conference on Availability, Reliability and Security, 2018