An Effective Information Retrieval for Ambiguous Query - Rajendra Kumar Roul; Sanjay Kumar Sahay (CoRR, 2012)

An effective web document clustering for information retrieval - Rajendra Kumar Roul; Sanjay Kumar Sahay (CoRR, 2012)

Web Document Clustering and Ranking using Tf-Idf based Apriori Approach. - Rajendra Kumar Roul; O. R. Devanand; Sanjay Kumar Sahay (CoRR, 2014)

An Effective Approach for Web Document Classification using the Concept of Association Analysis of Data Mining. - Rajendra Kumar Roul; Sanjay Kumar Sahay (CoRR, 2014)

Evolution and Detection of Polymorphic and Metamorphic Malwares: A Survey. - Ashu Sharma; Sanjay Kumar Sahay (CoRR, 2014)

Centroid based Binary Tree Structured SVM for multi classification. - Aruna Govada; Bhavul Gauri; Sanjay Kumar Sahay (ICACCI, 2015)

Hybrid Approach for Inductive Semi Supervised Learning Using Label Propagation and Support Vector Machine. - Aruna Govada; Pravin Joshi; Sahil Mittal; Sanjay Kumar Sahay (MLDM, 2015)

Extreme learning machines in the field of text classification. - Rajendra Kumar Roul; Ashish Nanda; Viraj Patel; Sanjay Kumar Sahay (SNPD, 2015)

Distributed Multi Class SVM for Large Data Sets. - Aruna Govada; Bhavul Gauri; Sanjay Kumar Sahay (WCI, 2015)

A Novel Approach to Distributed Multi-Class SVM. - Aruna Govada; Shree Ranjani; Aditi Viswanathan; Sanjay Kumar Sahay (CoRR, 2015)

Automated Document Indexing via Intelligent Hierarchical Clustering: A Novel Approach. - Rajendra Kumar Roul; Shubham Rohan Asthana; Sanjay Kumar Sahay (CoRR, 2015)

A Novel Modified Apriori Approach for Web Document Clustering. - Rajendra Kumar Roul; Saransh Varshneya; Ashu Kalra; Sanjay Kumar Sahay (CoRR, 2015)

Distributed Multi-class Rule Based Classification Using RIPPER. - Aruna Govada; Varsha S. Thomas; Ipsita Samal; Sanjay Kumar Sahay (CIT, 2016)

K-means and Wordnet Based Feature Selection Combined with Extreme Learning Machines for Text Classification. - Rajendra Kumar Roul; Sanjay Kumar Sahay (ICDCIT, 2016)

A communication efficient and scalable distributed data mining for the astronomical data. - Aruna Govada; Sanjay Kumar Sahay (Astron. Comput., 2016)

Covariance estimation for vertically partitioned data in a distributed environment. - Aruna Govada; Sanjay Kumar Sahay (CoRR, 2016)

Grouping the executables to detect malware with high accuracy. - Sanjay Kumar Sahay; Ashu Sharma (CoRR, 2016)

An effective approach for classification of advanced malware with high accuracy. - Ashu Sharma; Sanjay Kumar Sahay (CoRR, 2016)

Improving the detection accuracy of unknown malware by partitioning the executables in groups. - Ashu Sharma; Sanjay Kumar Sahay; Abhishek Kumar (CoRR, 2016)

An investigation of a deep learning based malware detection system. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (ARES, 2018)

Malware Detection Using Machine Learning and Deep Learning. - Hemant Rathore; Swati Agarwal 001; Sanjay K. Sahay; Mohit Sewak (BDA, 2018)

Android Malicious Application Classification Using Clustering. - Hemant Rathore; Sanjay K. Sahay; Palash Chaturvedi; Mohit Sewak (ISDA (2), 2018)

Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (SNPD, 2018)

An investigation of the classifiers to detect android malicious apps. - Ashu Sharma; Sanjay Kumar Sahay (CoRR, 2018)

Secure communication protocol for smart transportation based on vehicular cloud. - Trupil Limbasiya; Debasis Das 001; Sanjay K. Sahay (UbiComp/ISWC Adjunct, 2019)

Secure and Energy-Efficient Key-Agreement Protocol for Multi-server Architecture. - Trupil Limbasiya; Sanjay K. Sahay (SKM, 2019)

Detection of Advanced Malware by Machine Learning Techniques. - Sanjay Sharma; C. Rama Krishna; Sanjay K. Sahay (CoRR, 2019)

An Efficient Detection of Malware by Naive Bayes Classifier Using GPGPU. - Sanjay K. Sahay; Mayank Chaudhari (CoRR, 2019)

A Survey on the Detection of Android Malicious Apps. - Sanjay K. Sahay; Ashu Sharma (CoRR, 2019)

Secure Communication Protocol for Smart Transportation Based on VC]Secure Communication Protocol for Smart Transportation Based on Vehicular Cloud. - Trupil Limbasiya; Debasis Das 001; Sanjay K. Sahay (CoRR, 2019)

Group-Wise Classification Approach to Improve Android Malicious Apps Detection Accuracy. - Ashu Sharma; Sanjay Kumar Sahay (Int. J. Netw. Secur., 2019)

Identification of Significant Permissions for Efficient Android Malware Detection. - Hemant Rathore; Sanjay K. Sahay; Ritvik Rajvanshi; Mohit Sewak (BROADNETS, 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 (BROADNETS, 2020)

A Novel Spatial-Spectral Framework for the Classification of Hyperspectral Satellite Imagery. - Shriya T. P. Gupta; Sanjay K. Sahay (EANN, 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 (UbiComp/ISWC Adjunct, 2020)

DeepIntent: ImplicitIntent based Android IDS with E2E Deep Learning architecture. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (PIMRC, 2020)

How robust are malware detection models for Android smartphones against adversarial attacks?: poster abstract. - Hemant Rathore; Sanjay K. Sahay; Mohit Sewak (SenSys, 2020)

Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (TENCON, 2020)

Duplicates in the Drebin Dataset and Reduction in the Accuracy of the Malware Detection Models. - Jyotiprakash Mishra; Sanjay K. Sahay; Hemant Rathore; Lokesh Kumar (APCC, 2021)

Designing Adversarial Attack and Defence for Robust Android Malware Detection Models. - Hemant Rathore; Sanjay K. Sahay; Jasleen Dhillon; Mohit Sewak (DSN (Supplements), 2021)

Identification of Adversarial Android Intents using Reinforcement Learning. - Hemant Rathore; Piyush Nikam; Sanjay K. Sahay; Mohit Sewak (IJCNN, 2021)

LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (IJCNN, 2021)

ADVERSARIALuscator: An Adversarial-DRL based Obfuscator and Metamorphic Malware Swarm Generator. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (IJCNN, 2021)

Are Android Malware Detection Models Adversarially Robust?: Poster Abstract. - Hemant Rathore; Sanjay K. Sahay; Mohit Sewak (IPSN, 2021)

Image-based Android Malware Detection Models using Static and Dynamic Features. - Hemant Rathore; B. Raja Narasimhan; Sanjay K. Sahay; Mohit Sewak (ISDA, 2021)

DRo: A data-scarce mechanism to revolutionize the performance of DL-based Security Systems. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (LCN, 2021)

Towards Robust Android Malware Detection Models using Adversarial Learning. - Hemant Rathore; Sanjay K. Sahay (PerCom Workshops, 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 (SenSys, 2021)

Adversarial Robustness of Image Based Android Malware Detection Models. - Hemant Rathore; Taeeb Bandwala; Sanjay K. Sahay; Mohit Sewak (SKM, 2021)

Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (SKM, 2021)

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

ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (CoRR, 2021)

Robust Malware Detection Models: Learning from Adversarial Attacks and Defenses. - Hemant Rathore; Adithya Samavedhi; Sanjay K. Sahay; Mohit Sewak (Digit. Investig., 2021)

Privacy-Preserving Mutual Authentication and Key Agreement Scheme for Multi-Server Healthcare System. - Trupil Limbasiya; Sanjay Kumar Sahay; Bharath Sridharan (Inf. Syst. Frontiers, 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)

Advances in Secure Knowledge Management in the Artificial Intelligence Era. - Sanjay K. Sahay; Nihita Goel; Murtuza Jadliwala; Shambhu J. Upadhyaya (Inf. Syst. Frontiers, 2021)

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 (BROADNETS, 2022)

MalEfficient10%: A Novel Feature Reduction Approach for Android Malware Detection. - Hemant Rathore; Ajay Kharat; Rashmi T; Adithya Manickavasakam; Sanjay K. Sahay; Mohit Sewak (BROADNETS, 2022)

Deep CounterStrike: Counter Adversarial Deep Reinforcement Learning for Defense Against Metamorphic Ransomware Swarm Attack. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (BROADNETS, 2022)

Are Malware Detection Models Adversarial Robust Against Evasion Attack? - Hemant Rathore; Adithya Samavedhi; Sanjay K. Sahay; Mohit Sewak (INFOCOM Workshops, 2022)

X-Swarm: Adversarial DRL for Metamorphic Malware Swarm Generation. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (PerCom Workshops, 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)

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)

SAMPARK: Secure and lightweight communication protocols for smart parking management. - Trupil Limbasiya; Sanjay K. Sahay; Debasis Das 001 (J. Inf. Secur. Appl., 2022)

Defending malware detection models against evasion based adversarial attacks. - Hemant Rathore; Animesh Sasan; Sanjay K. Sahay; Mohit Sewak (Pattern Recognit. Lett., 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)

RL-MAGE: Strengthening Malware Detectors Against Smart Adversaries. - Adarsh Nandanwar; Hemant Rathore; Sanjay K. Sahay; Mohit Sewak (ICCS (2), 2023)

Breaking the Anti-malware: EvoAAttack Based on Genetic Algorithm Against Android Malware Detection Systems. - Hemant Rathore; Praneeth B; Sundaraja Sitharama Iyengar; Sanjay K. Sahay (ICCS (5), 2023)

An investigation of two-step cascaded CNN for the detection of gravitational wave signal from two different astronomical sources. - Lokesh Kumar; Sanjay K. Sahay; Hrishikesh Govindrao Kusneniwar (INNS DLIA@IJCNN, 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., 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, 2023)

Deep Reinforcement Learning in the Advanced Cybersecurity Threat Detection and Protection. - Mohit Sewak; Sanjay K. Sahay; Hemant Rathore (Inf. Syst. Frontiers, 2023)

SEASHA3: Secure and Efficient Encryption for the IoT Data by Replacing Subkeys of AES with SHA3. - Ankush Soni; Sanjay K. Sahay (SMC, 2024)

Modern Hardware Security: A Review of Attacks and Countermeasures. - Jyotiprakash Mishra; Sanjay K. Sahay (CoRR, 2025)

AESHA3: Efficient and Secure Sub-Key Generation for AES Using SHA-3. - Ankush Soni; Sanjay K. Sahay; Parit Mehta (CoRR, 2025)