Refereed Conferences:

• Breaking the Anti-malware: EvoAAttack Based on Genetic Algorithm Against Android Malware Detection Systems. [Core-A]
  Authors: Hemant Rathore, S. S. Iyengar, Sanjay K. Sahay
  International Conference on Computational Science, 535 - 550, 2023.

• RL-MAGE: Strengthening Malware Detectors Against Smart Adversaries. [Core-A]
  Authors: A. Nandanwar, Hemant Rathore, Sanjay K. Sahay, Mohit Sewak
  International Conference on Computational Science,  77 - 92, 2023.

• Defending malware detection models against evasion based adversarial attacks. [Core-A*]
  Authors: Hemant Rathore, Animesh Sasan, Sanjay K. Sahay and Mohit Sewak
  IEEE, NDSS (Poster)-2023.

• Deep CounterStrike: Counter Adversarial Deep Reinforcement Learning for Defense against Metamorphic Ransomware Swarm Attack. [Core-B]
  Authors: Mohit Sewak, Sanjay K. Sahay and Hemant Rathore
  BROADNETS,  pp. 31-50, 2023.

• Android Malware Detection based on Static Analysis and Data Mining Techniques: A Systematic Literature Review. [Core-B]
  Authors: Mohit Sewak, Sanjay K. Sahay and Hemant Rathore
  BROADNETS,  pp. 51-71, 2023.

• MalEfficient10%: A Novel Feature Reduction Approach for Android Malware Detection. [Core-B]
  Authors: Hemant Rathore, Ajay Kharat, Rashmi T, Adithya Manickavasakam, Sanjay K. Sahay and Mohit Sewak
  BROADNETS,  pp. 72-92, 2023.

• Are Malware Detection Models Adversarial Robust Against Evasion Attack. [Core-A*]
  Authors: Hemant Rathore, Adithya Samavedhi, Sanjay K. Sahay and Mohit Sewak
  IEEE, INFOCOM-2022, Conference on Computer Communications Workshops (INFOCOM-2022), 2022.

• X-Swarm: Adversarial DRL for Metamorphic Malware Swarm Generation. [Core-A*]
  Authors: Mohit Sewak, Sanjay K. Sahay and Hemant Rathore
  IEEE, International Conference on Pervasive Computing and Communication (PerCom-2022), pp. 169-174, 2022.

• Image-based Android Malware Detection Models using Static and Dynamic Features. [Core-C]
  Authors: Hemant Rathore, B Raja Narasimhan, Sanjay K. Sahay, Mohit Sewak
  Springer, LNNS, ISDA-2021, Volume 418, pp. 1292–1305, 2022.

• Are CNN based Malware Detection Models Robust? Developing Superior Models using Adversarial Attack and Defense. [Core-A*]
  Authors: Hemant Rathore, Taeeb Bandwala, Sanjay K. Sahay, Mohit Sewak
  ACM, Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems, p. 355 - 356, 2021 .

• Adversarial Robustness of Image based Android Malware Detection Models. [Scopus]
  Authors: Hemant Rathore, Taeeb Bandwala, Sanjay K. Sahay and Mohit Sewak
  Springer, Communications in Computer and Information Science, Proceeding SKM-2021, Vol. 1549, pp. 3-22, 2022.

• Duplicates in the Drebin Dataset and Reduction in the Accuracy of the Malware Detection Models. [Core-C]
  Authors: Jyotiprakash Mishra, Sanjay K. Sahay, Hemant Rathore and Lokesh Kumar
  IEEE, 26th IEEE Asia-Pacific Conference on Communications (APCC), pp. 161-165, 2021.

• Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review. [Scopus]
  Authors: Mohit Sewak, Sanjay K. Sahay and Hemant Rathore
  Springer, Communications in Computer and Information Science, Proceeding SKM-2021, Vol. 1549, pp. 51-72, 2022.

• DRo: A Data-Scarce Mechanism to Revolutionize the Performance of DL-Based Security Systems. [Core-B]
  Authors: Mohit Sewak, Sanjay K. Sahay and Hemant Rathore
  IEEE, 46th Conference on Local Computer Networks (LCN), p. 581-588, 2021.

• Identification of Adversarial Android Intents using Reinforcement Learning. [Core-A]
  Authors: Hemant Rathore, Piyush Nikam, Sanjay K. Sahay and Mohit Sewak
  IEEE, International Joint Conference on Neural Networks (IJCNN), 1-8, 2021.

• LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach. [Core-A]
  Authors: Mohit Sewak, Sanjay K. Sahay and Hemant Rathore
  IEEE, International Joint Conference on Neural Networks (IJCNN), 1-9, 2021.

• ADVERSARIALuscator: An Adversarial-DRL based Obfuscator and Metamorphic Malware Swarm Generator. [Core-A]
  Authors: Mohit Sewak, Sanjay K. Sahay and Hemant Rathore
  IEEE, International Joint Conference on Neural Networks (IJCNN), 1-9, 2021.

• Towards Robust Android Malware Detection Models using Adversarial Learning. [Core-A*]
  Authors:Hemant Rathore and Sanjay K. Sahay
  IEEE, International Conference on Pervasive Computing and Communications Work- shops, pp. 424 - 425, 2021.

• Designing Adversarial Attack and Defence for Robust Android Malware Detection Models. [Core-A]
  Authors: Hemant Rathore, Sanjay K. Sahay, Jasleen Dhillon and Mohit Sewak
  IEEE, 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, pp. 29 - 32, 2021.

• Are Android Malware Detection Models Adversarially Robust? [Core-A*]
  Authors: Hemant Rathore, Sanjay K. Sahay and Mohit Sewak
  ACM, 20th International Conference on Information Processing in Sensor Networks, pp. 408 - 409, 2021.

• Policy-Approximation based Deep Reinforcement Learning Techniques: An Overview. [Scopus]
  Authors: Mohit Sewak, Sanjay K. Sahay and Hemant Rathore
  Springer, Lecture Notes in Networks and Systems (ICTCS 2020), Vol. 191, pp. 493 - 507, 2021.

• Identification of Significant Permissions for Efficient Android Malware Detection. [Core-B]
  Authors: Hemant Rathore, Sanjay K. Sahay, Ritvik Rajvanshi and Mohit Sewak
  Springer, LNICST, Vol. 355, pp. 33-52, Proceedings BROADNETS-2020, 2021.

• Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering. -B] [Core-B]
  Authors: Hemant Rathore, Sanjay K. Sahay, Shivin Thukral and Mohit Sewak
  Springer, LNICST, Vol. 355, pp. 109-128, Proceedings BROADNETS-2020, 2021.

• How Robust are Malware Detection Models for Android Smartphones against Adversarial Attacks? [Core-A*]
  Authors: Hemant Rathore, Sanjay K. Sahay and Mohit Sewak
  ACM, Proceedings of the 18th Conference on Embedded Networked Sensor Systems (SenSys), pp. 683-684, 2020.

• DOOM: A Novel Adversarial-DRL-based Op-Code Level Metamorphic Malware Obfuscator for the enhancement of IDS. [Core-A*]
  Authors: Mohit Sewak, Sanjay K. Sahay and Hemant Rathore
  ACM, Proceedings International Joint Conference on Pervasive and Ubiquitous Computing, pp. 131-134, 2020

• DeepIntent: ImplicitIntent Based Android IDS with E2E Deep Learning Architecture. [Core-B]
  Authors: Mohit Sewak, Sanjay K. Sahay and Hemant Rathore
  IEEE, 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, p. 1-6, 2020

• Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS. [Core-C]
  Authors: Mohit Sewak, Sanjay K. Sahay and Hemant Rathore
  IEEE, TENCON-2020, pp. 414-419, 2020.

• Value-Approximation based Deep Reinforcement Learning Techniques: An Overview. [Scopus]
  Authors: Mohit Sewak, Sanjay K. Sahay and Hemant Rathore
  IEEE, 5th International Conference on Computing Communication and Automation, pp. 379-384, 2020.

• A Novel Spatial-Spectral Framework for the Classification of Hyperspectral Satellite Imagery. 
  Authors: Shriya Gupta and Sanjay K. Sahay
  Springer, International Neural Networks Society, Proceedings of the 21st Engineering Applications of Neural Networks, Vol. 2, pp. 227-239, 2020.

• Secure and Energy-Efficient Key-Agreement Protocol for Multi-Server Architecture. [Scopus]
  Authors: Trupil Limbasiya and Sanjay K. Sahay
  Springer, Communications in Computer and Information Science, Proceeding SKM-2019, Vol. 1186, pp. 82-97, 2020.

• Secure communication protocol for smart transportation based on vehicular cloud. [Core-A*]
  Authors: Trupil Limbasiya, Debasis Das and Sanjay K Sahay
  ACM, pp. 372-376, International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019.

• A Survey on the Detection of Android Malicious Apps. [Scopus]
  Authors: Sanjay K. Sahay and Ashu Sharma
  Springer, Advances in Computer Communication and Computational Sciences, Vol. 924, pp 437-446, 2019, Proceedings in Springer, Proceedings ICCCCS, 2018.

• An Efficient Detection of Malware by Naive Bayes Classifier Using GPGPU. [Scopus]
  Authors: Sanjay K. Sahay and Mayank Chaudhari
  Springer, Advances in Computer Communication and Computational Sciences, Vol. 924, pp 255-262, 2019, Proceedings in Springer, Proceedings ICCCCS, 2018.

• Evolution of Malware and its Detection Techniques. [Scopus]
  Authors: Sanjay K. Sahay and Ashu Sharma
  Springer, Information and Communication Technology for Sustainable Development, Vol. 933, pp 139-150, 2019, Proceedings ICT4SD, 2018.

• A Survey on the Detection of Windows Desktops Malware. [Scopus]
  Authors: Mohit Sewak, Sanjay K. Sahay and Hemant Rathore
  Springer, Ambient Communications and Computer Systems (AISC), Vol. 904, pp. 149-159, 2019, Proceedings RACCCS, 2018.

• Android Malicious Application Classification Using Clustering. [Core-C]
  Authors: Hemant Rathore, Sanjay K. Sahay, Palash Chaturvedi, and Mohit Sewak
  Springer, Springer, Intelligent Systems Design and Applications (AISC) Vol. 941, pp 659-667, 2019, Proceedings ISDA, 2018. .

• Malware Detection using Machine Learning and Deep Learning. [Scopus]
  Authors: Hemant Rathore, Swati Agarwal, Sanjay K. Sahay, and Mohit Sewak
  Springer, LNCS, Vol. 11297, pp. 402-411, 2018, Proceedings BDA-2018.

• An investigation of a deep learning based malware detection system. [Core-B]
  Authors: Mohit Sewak, Sanjay K. Sahay and Hemant Rathore
  ACM, pp. 26, Proceedings of the 13th International Conference on Availability, Reliability and Security (ARES), 27-30 Aug., 2018, University of Hamburg, Germany.

• Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection. [Core-C]
  Authors: Mohit Sewak, Sanjay K. Sahay and Hemant Rathore
  IEEE, pp. 293-296, 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2018.

• Detection of Advanced Malware by Machine Learning Techniques. [Scopus]
  Authors: Sanjay Sharma, Rama Krishna and Sanjay K. Sahay
  Springer, Advances in Intelligent Systems and Computing, Vol. 742, pp. 333-342, 2018, Proceedings Soft Computing: Theories and Applications (2017).

• Categorizing Text Data using Deep Learning: A Novel Approach. [Scopus]
  Authors: R.K. Roul and Sanjay K. Sahay
  Springer Advances in Intelligent Systems and Computing, pp. 793-805, AISC Vol. 711, 2018, Proceedings ICCIDM-2017.

• An investigation of the classifiers to detect Android malicious apps. [Scopus]
  Authors: Ashu Sharma and Sanjay K. Sahay
  Springer, Information and Communication Technology, 625, p. 207 - 217, 2017, Proceedings, ICICT, 2016.

• Distributed multi-class rule based classification using RIPPER. [Core-C]
  Authors: Aruna Govada, Varsha S. Thomas, Ipsita Samal, Sanjay K. Sahay
  IEEE Xplore, 978-1-5090-4314-9/16, pp. 303 - 309, IEEE Computer Society, 2016 IEEE International Conference on Computer and Information Technology, 2017.

• Semi-supervised Clustering using Seeded-kMeans in the Feature Space of ELM. [Scopus]
  Authors: R.K. Roul and Sanjay K. Sahay
  IEEE Xplore, DOI: 10.1109/INDICON.2016.7838892, Proceedings, India Conference (INDICON), 2016 IEEE Annual, 2017.

• Combining Apriori Approach with Support Based Count Technique to Cluster the Web Documents. [Scopus]
  Authors: R.K. Roul and Sanjay K. Sahay
  Springer, Computational Intelligence in Data Mining, Proceedings ICCIDM (2016), Vol. 556, pp 119-132, 2017.

• Covariance estimation for Vertically partitioned data in a Distributed environment. [Core-C]
  Authors: Aruna Govada and Sanjay K. Sahay
  Springer, Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, Studies in Computational Intelligence, Vol. 653, pp 151-164, 2016.
  Proceedings, 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2016.

• Improving the detection accuracy of unknown malware by partitioning the executables in groups. [Scopus]
  Authors: Ashu Sharma, Sanjay K. Sahay, Abhishek Kumar
  Springer, Advances in Intelligent System and Computing, Vol. 452, pp. 421-431, 2016; Proceedings 9th ICACCT, 2015.

• K-means and Wordnet based Feature Selection Combine with Extreme Learning Machines for Text Classification. [Scopus]
  Authors: R.K. Roul and Sanjay K. Sahay
  Springer, LNCS, Distributed Computing and Internet Technology, Vol. 9581, p. 103, Proceedings 12th ICDCIT, 2016.

• Extreme Learning Machines in the field of Text Classification. [Core-C]
  Authors: R.K. Roul, Ashish Nanda, Viraj Patel and Sanjay K. Sahay
  IEEE Xplore, DOI: 10.1109/SNPD.2015.7176204, Proceedings 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2015), Japan.

• Distributed Multi Class SVM for Large Data Sets. [Scopus]
  Authors: Aruna Govada, Bhavul Gauri and Sanjay K. Sahay
  ACM Digital Library, PP. 54-58, Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015.

• Centroid Based Binary Tree Structured SVM for Multi Classification. [Scopus]
  Authors: Aruna Govada, Bhavul Gauri and Sanjay K. Sahay
  IEEE Xplore, DOI: 10.1109/ICACCI.2015.7275618, Proceedings Fourth International Conference on Advances in Computing, Communications and Informatics, 2015.

• Hybrid Approach for Inductive Semi Supervised Learning using Label Propagation and Support Vector Machine. [Scopus]
  Authors: Aruna Govada, Pravin Joshi, Sahil Mittal, and Sanjay K. Sahay
  Springer, LNAI, Machine Learning and Data Mining in Pattern Recognition, Vol. 9166, p. 199; Proceedings 11th International Conference MLDM, Germany, 2015.

• Automated Document Indexing via Intelligent Hierarchical Clustering: A Novel Approach. [Scopus]
  Authors: Rajendra Kumar Roul, Sachin Joglekar and Sanjay K. Sahay
  IEEE Xplore, DOI: 10.1109/ICHPCA.2014.7045347, Proceedings, ICHPCA, 2014.

• A Novel Modified Apriori Approach for Web Document Clustering. [Scopus]
  Authors: Rajendra Kumar Roul, Saransh Varshneya, Ashu Kalra and Sanjay K. Sahay
  Springer, Smart Innovation Systems and Technologies, Vol. 33, 2015, p. 159-171; Proceedings ICCIDM, 2014.

• Web Document Clustering and Ranking using Tf-Idf based Apriori Approach.
  Authors: R.K. Roul, O.R. Devanand and Sanjay K. Sahay
  International Journal of Computer Applications, No. 2, p. 34, 2014, Proceedings ICACEA.