Mohit Sewak

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 54

Top Topics

Security Systems

Static Analysis

Malware Detection

Malicious Executables

Top Venues

Inf. Syst. Frontiers

Publications

Hemant Rathore, Adithya Samavedhi, Sanjay K. Sahay, Mohit Sewak
Towards Adversarially Superior Malware Detection Models: An Adversary Aware Proactive Approach using Adversarial Attacks and Defenses. Inf. Syst. Frontiers 25 (2) (2023)
Mohit Sewak, Vamsi Emani, Annam Naresh
CRUSH: Cybersecurity Research using Universal LLMs and Semantic Hypernetworks. EKG-LLM@CIKM (2023)
Dong-Ho Lee, Jay Pujara, Mohit Sewak, Ryen White, Sujay Kumar Jauhar
Making Large Language Models Better Data Creators. EMNLP (2023)
Dong-Ho Lee, Jay Pujara, Mohit Sewak, Ryen W. White, Sujay Kumar Jauhar
Making Large Language Models Better Data Creators. CoRR (2023)
Adarsh Nandanwar, Hemant Rathore, Sanjay K. Sahay, Mohit Sewak
RL-MAGE: Strengthening Malware Detectors Against Smart Adversaries. ICCS (2) (2023)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
Deep Reinforcement Learning in the Advanced Cybersecurity Threat Detection and Protection. Inf. Syst. Frontiers 25 (2) (2023)
Hemant Rathore, Adarsh Nandanwar, Sanjay K. Sahay, Mohit Sewak
Adversarial superiority in android malware detection: Lessons from reinforcement learning based evasion attacks and defenses. Forensic Sci. Int. Digit. Investig. 44 (Supplement) (2023)
Hemant Rathore, Sujay C. Sharma, Sanjay K. Sahay, Mohit Sewak
Are Malware Detection Classifiers Adversarially Vulnerable to Actor-Critic based Evasion Attacks? EAI Endorsed Trans. Scalable Inf. Syst. 10 (1) (2022)
Hemant Rathore, Adithya Samavedhi, Sanjay K. Sahay, Mohit Sewak
Are Malware Detection Models Adversarial Robust Against Evasion Attack? INFOCOM Workshops (2022)
Hemant Rathore, Ajay Kharat, Rashmi T, Adithya Manickavasakam, Sanjay K. Sahay, Mohit Sewak
MalEfficient10%: A Novel Feature Reduction Approach for Android Malware Detection. BROADNETS (2022)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
GreenForensics: Deep hybrid edge-cloud detection and forensics system for battery-performance-balance conscious devices. Digit. Investig. 43 (Supplement) (2022)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
Neural AutoForensics: Comparing Neural Sample Search and Neural Architecture Search for malware detection and forensics. Digit. Investig. 43 (Supplement) (2022)
Hemant Rathore, Animesh Sasan, Sanjay K. Sahay, Mohit Sewak
Defending malware detection models against evasion based adversarial attacks. Pattern Recognit. Lett. 164 (2022)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
Deep CounterStrike: Counter Adversarial Deep Reinforcement Learning for Defense Against Metamorphic Ransomware Swarm Attack. BROADNETS (2022)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
X-Swarm: Adversarial DRL for Metamorphic Malware Swarm Generation. PerCom Workshops (2022)
Hemant Rathore, Mohit Sewak
Malware Analysis and Detection. AIMLSystems (2022)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review. CoRR (2022)
Hemant Rathore, Soham Chari, Nishant Verma, Sanjay K. Sahay, Mohit Sewak
Android Malware Detection Based on Static Analysis and Data Mining Techniques: A Systematic Literature Review. BROADNETS (2022)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator. CoRR (2021)
Hemant Rathore, Sanjay K. Sahay, Shivin Thukral, Mohit Sewak
Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering. CoRR (2021)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems. CoRR (2021)
Hemant Rathore, Taeeb Bandwala, Sanjay K. Sahay, Mohit Sewak
Are CNN based Malware Detection Models Robust?: Developing Superior Models using Adversarial Attack and Defense. SenSys (2021)
Hemant Rathore, Taeeb Bandwala, Sanjay K. Sahay, Mohit Sewak
Adversarial Robustness of Image Based Android Malware Detection Models. SKM (2021)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
ADVERSARIALuscator: An Adversarial-DRL based Obfuscator and Metamorphic Malware Swarm Generator. IJCNN (2021)
Hemant Rathore, Sanjay K. Sahay, Ritvik Rajvanshi, Mohit Sewak
Identification of Significant Permissions for Efficient Android Malware Detection. CoRR (2021)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
DRo: A data-scarce mechanism to revolutionize the performance of DL-based Security Systems. LCN (2021)
Hemant Rathore, Piyush Nikam, Sanjay K. Sahay, Mohit Sewak
Identification of Adversarial Android Intents using Reinforcement Learning. IJCNN (2021)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach. IJCNN (2021)
Hemant Rathore, B. Raja Narasimhan, Sanjay K. Sahay, Mohit Sewak
Image-based Android Malware Detection Models using Static and Dynamic Features. ISDA (2021)
Hemant Rathore, Sanjay K. Sahay, Jasleen Dhillon, Mohit Sewak
Designing Adversarial Attack and Defence for Robust Android Malware Detection Models. DSN (Supplements) (2021)
Hemant Rathore, Sanjay K. Sahay, Piyush Nikam, Mohit Sewak
Robust Android Malware Detection System Against Adversarial Attacks Using Q-Learning. Inf. Syst. Frontiers 23 (4) (2021)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
DRLDO: A novel DRL based De-ObfuscationSystem for Defense against Metamorphic Malware. CoRR (2021)
Hemant Rathore, Adithya Samavedhi, Sanjay K. Sahay, Mohit Sewak
Robust Malware Detection Models: Learning from Adversarial Attacks and Defenses. Digit. Investig. (2021)
Hemant Rathore, Sanjay K. Sahay, Piyush Nikam, Mohit Sewak
Robust Android Malware Detection System against Adversarial Attacks using Q-Learning. CoRR (2021)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review. SKM (2021)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach. CoRR (2021)
Hemant Rathore, Sanjay K. Sahay, Mohit Sewak
Are Android Malware Detection Models Adversarially Robust?: Poster Abstract. IPSN (2021)
Hemant Rathore, Sanjay K. Sahay, Shivin Thukral, Mohit Sewak
Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering. BROADNETS (2020)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS. TENCON (2020)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
DOOM: A Novel Adversarial-DRL-Based Op-Code Level Metamorphic Malware Obfuscator for the Enhancement of IDS. CoRR (2020)
Hemant Rathore, Sanjay K. Sahay, Ritvik Rajvanshi, Mohit Sewak
Identification of Significant Permissions for Efficient Android Malware Detection. BROADNETS (2020)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
DOOM: a novel adversarial-DRL-based op-code level metamorphic malware obfuscator for the enhancement of IDS. UbiComp/ISWC Adjunct (2020)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
DeepIntent: ImplicitIntent based Android IDS with E2E Deep Learning architecture. PIMRC (2020)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS. CoRR (2020)
Hemant Rathore, Sanjay K. Sahay, Mohit Sewak
How robust are malware detection models for Android smartphones against adversarial attacks?: poster abstract. SenSys (2020)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
DeepIntent: ImplicitIntent based Android IDS with E2E Deep Learning architecture. CoRR (2020)
Hemant Rathore, Swati Agarwal, Sanjay K. Sahay, Mohit Sewak
Malware Detection using Machine Learning and Deep Learning. CoRR (2019)
Hemant Rathore, Sanjay K. Sahay, Palash Chaturvedi, Mohit Sewak
Android Malicious Application Classification Using Clustering. CoRR (2019)
Hemant Rathore, Swati Agarwal, Sanjay K. Sahay, Mohit Sewak
Malware Detection Using Machine Learning and Deep Learning. BDA (2018)
Hemant Rathore, Sanjay K. Sahay, Palash Chaturvedi, Mohit Sewak
Android Malicious Application Classification Using Clustering. ISDA (2) (2018)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
An investigation of a deep learning based malware detection system. CoRR (2018)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection. SNPD (2018)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection. CoRR (2018)
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
An investigation of a deep learning based malware detection system. ARES (2018)