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ORCIDSanjay K. Sahay
Sanjay Kumar Sahay
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- affiliation: Goa Campus, BITS, Pilani, India
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Journal Articles
- 2023
[j14]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): 301511 (2023)- [j13]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): 567-587 (2023) - [j12]Mohit Sewak
, Sanjay K. Sahay, Hemant Rathore:
Deep Reinforcement Learning in the Advanced Cybersecurity Threat Detection and Protection. Inf. Syst. Frontiers 25(2): 589-611 (2023) - 2022
- [j11]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): 301444 (2022) - [j10]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): 301445 (2022) - [j9]Trupil Limbasiya, Sanjay K. Sahay, Debasis Das:
SAMPARK: Secure and lightweight communication protocols for smart parking management. J. Inf. Secur. Appl. 71: 103381 (2022) - [j8]Hemant Rathore, Animesh Sasan, Sanjay K. Sahay, Mohit Sewak:
Defending malware detection models against evasion based adversarial attacks. Pattern Recognit. Lett. 164: 119-125 (2022) - [j7]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): e6 (2022) - 2021
- [j6]Hemant Rathore, Adithya Samavedhi, Sanjay K. Sahay, Mohit Sewak:
Robust Malware Detection Models: Learning from Adversarial Attacks and Defenses. Digit. Investig. 37 Supplement: 301183 (2021) - [j5]Sanjay K. Sahay, Nihita Goel, Murtuza Jadliwala, Shambhu J. Upadhyaya:
Advances in Secure Knowledge Management in the Artificial Intelligence Era. Inf. Syst. Frontiers 23(4): 807-810 (2021) - [j4]Trupil Limbasiya, Sanjay Kumar Sahay, Bharath Sridharan:
Privacy-Preserving Mutual Authentication and Key Agreement Scheme for Multi-Server Healthcare System. Inf. Syst. Frontiers 23(4): 835-848 (2021) - [j3]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): 867-882 (2021) - 2019
- [j2]Ashu Sharma, Sanjay Kumar Sahay:
Group-Wise Classification Approach to Improve Android Malicious Apps Detection Accuracy. Int. J. Netw. Secur. 21(3): 409-417 (2019) - 2016
- [j1]Aruna Govada, Sanjay Kumar Sahay:
A communication efficient and scalable distributed data mining for the astronomical data. Astron. Comput. 16: 166-173 (2016)
Conference and Workshop Papers
- 2023
- [c39]Adarsh Nandanwar, Hemant Rathore, Sanjay K. Sahay, Mohit Sewak:
RL-MAGE: Strengthening Malware Detectors Against Smart Adversaries. ICCS (2) 2023: 77-92 - [c38]Hemant Rathore, Praneeth B, Sundaraja Sitharama Iyengar, Sanjay K. Sahay:
Breaking the Anti-malware: EvoAAttack Based on Genetic Algorithm Against Android Malware Detection Systems. ICCS (5) 2023: 535-550 - [c37]Lokesh Kumar, Sanjay K. Sahay, Hrishikesh Govindrao Kusneniwar:
An investigation of two-step cascaded CNN for the detection of gravitational wave signal from two different astronomical sources. INNS DLIA@IJCNN 2023: 676-684 - 2022
- [c36]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
Deep CounterStrike: Counter Adversarial Deep Reinforcement Learning for Defense Against Metamorphic Ransomware Swarm Attack. BROADNETS 2022: 31-50 - [c35]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: 51-71 - [c34]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: 72-92 - [c33]Hemant Rathore, Adithya Samavedhi, Sanjay K. Sahay, Mohit Sewak:
Are Malware Detection Models Adversarial Robust Against Evasion Attack? INFOCOM Workshops 2022: 1-2 - [c32]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
X-Swarm: Adversarial DRL for Metamorphic Malware Swarm Generation. PerCom Workshops 2022: 169-174 - 2021
- [c31]Jyotiprakash Mishra, Sanjay K. Sahay, Hemant Rathore, Lokesh Kumar:
Duplicates in the Drebin Dataset and Reduction in the Accuracy of the Malware Detection Models. APCC 2021: 161-165 - [c30]Hemant Rathore, Sanjay K. Sahay, Jasleen Dhillon, Mohit Sewak:
Designing Adversarial Attack and Defence for Robust Android Malware Detection Models. DSN (Supplements) 2021: 29-32 - [c29]Hemant Rathore, Piyush Nikam, Sanjay K. Sahay, Mohit Sewak:
Identification of Adversarial Android Intents using Reinforcement Learning. IJCNN 2021: 1-8 - [c28]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach. IJCNN 2021: 1-9 - [c27]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
ADVERSARIALuscator: An Adversarial-DRL based Obfuscator and Metamorphic Malware Swarm Generator. IJCNN 2021: 1-9 - [c26]Hemant Rathore, Sanjay K. Sahay, Mohit Sewak:
Are Android Malware Detection Models Adversarially Robust?: Poster Abstract. IPSN 2021: 408-409 - [c25]Hemant Rathore, B. Raja Narasimhan, Sanjay K. Sahay, Mohit Sewak:
Image-based Android Malware Detection Models using Static and Dynamic Features. ISDA 2021: 1292-1305 - [c24]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
DRo: A data-scarce mechanism to revolutionize the performance of DL-based Security Systems. LCN 2021: 581-588 - [c23]Hemant Rathore, Sanjay K. Sahay:
Towards Robust Android Malware Detection Models using Adversarial Learning. PerCom Workshops 2021: 424-425 - [c22]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: 355-356 - [c21]Hemant Rathore, Taeeb Bandwala, Sanjay K. Sahay, Mohit Sewak:
Adversarial Robustness of Image Based Android Malware Detection Models. SKM 2021: 3-22 - [c20]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review. SKM 2021: 51-72 - 2020
- [c19]Hemant Rathore, Sanjay K. Sahay, Ritvik Rajvanshi, Mohit Sewak:
Identification of Significant Permissions for Efficient Android Malware Detection. BROADNETS 2020: 33-52 - [c18]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: 109-128 - [c17]Shriya T. P. Gupta, Sanjay K. Sahay:
A Novel Spatial-Spectral Framework for the Classification of Hyperspectral Satellite Imagery. EANN 2020: 227-239 - [c16]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: 131-134 - [c15]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
DeepIntent: ImplicitIntent based Android IDS with E2E Deep Learning architecture. PIMRC 2020: 1-6 - [c14]Hemant Rathore, Sanjay K. Sahay, Mohit Sewak:
How robust are malware detection models for Android smartphones against adversarial attacks?: poster abstract. SenSys 2020: 683-684 - [c13]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS. TENCON 2020: 414-419 - 2019
- [c12]Trupil Limbasiya, Debasis Das, Sanjay K. Sahay:
Secure communication protocol for smart transportation based on vehicular cloud. UbiComp/ISWC Adjunct 2019: 372-376 - [c11]Trupil Limbasiya, Sanjay K. Sahay:
Secure and Energy-Efficient Key-Agreement Protocol for Multi-server Architecture. SKM 2019: 82-97 - 2018
- [c10]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
An investigation of a deep learning based malware detection system. ARES 2018: 26:1-26:5 - [c9]Hemant Rathore, Swati Agarwal, Sanjay K. Sahay, Mohit Sewak:
Malware Detection Using Machine Learning and Deep Learning. BDA 2018: 402-411 - [c8]Hemant Rathore, Sanjay K. Sahay, Palash Chaturvedi, Mohit Sewak:
Android Malicious Application Classification Using Clustering. ISDA (2) 2018: 659-667 - [c7]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection. SNPD 2018: 293-296 - 2016
- [c6]Aruna Govada, Varsha S. Thomas, Ipsita Samal, Sanjay Kumar Sahay:
Distributed Multi-class Rule Based Classification Using RIPPER. CIT 2016: 303-309 - [c5]Rajendra Kumar Roul, Sanjay Kumar Sahay:
K-means and Wordnet Based Feature Selection Combined with Extreme Learning Machines for Text Classification. ICDCIT 2016: 103-112 - 2015
- [c4]Aruna Govada, Bhavul Gauri, Sanjay Kumar Sahay:
Centroid based Binary Tree Structured SVM for multi classification. ICACCI 2015: 258-262 - [c3]Aruna Govada, Pravin Joshi, Sahil Mittal, Sanjay Kumar Sahay:
Hybrid Approach for Inductive Semi Supervised Learning Using Label Propagation and Support Vector Machine. MLDM 2015: 199-213 - [c2]Rajendra Kumar Roul, Ashish Nanda, Viraj Patel, Sanjay Kumar Sahay:
Extreme learning machines in the field of text classification. SNPD 2015: 217-223 - [c1]Aruna Govada, Bhavul Gauri, Sanjay Kumar Sahay:
Distributed Multi Class SVM for Large Data Sets. WCI 2015: 54-58
Editorship
- 2022
- [e2]Ram Krishnan, H. Raghav Rao, Sanjay K. Sahay, Sagar Samtani, Ziming Zhao:
Secure Knowledge Management In The Artificial Intelligence Era - 9th International Conference, SKM 2021, San Antonio, TX, USA, October 8-9, 2021, Proceedings. Communications in Computer and Information Science 1549, Springer 2022, ISBN 978-3-030-97531-9 [contents] - 2020
- [e1]Sanjay K. Sahay, Nihita Goel, Vishwas Patil, Murtuza Jadliwala:
Secure Knowledge Management In Artificial Intelligence Era - 8th International Conference, SKM 2019, Goa, India, December 21-22, 2019, Proceedings. Communications in Computer and Information Science 1186, Springer 2020, ISBN 978-981-15-3816-2 [contents]
Informal and Other Publications
- 2022
- [i40]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review. CoRR abs/2206.02733 (2022) - 2021
- [i39]Hemant Rathore, Sanjay K. Sahay, Piyush Nikam, Mohit Sewak:
Robust Android Malware Detection System against Adversarial Attacks using Q-Learning. CoRR abs/2101.12031 (2021) - [i38]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
DRLDO: A novel DRL based De-ObfuscationSystem for Defense against Metamorphic Malware. CoRR abs/2102.00898 (2021) - [i37]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 abs/2103.00637 (2021) - [i36]Hemant Rathore, Sanjay K. Sahay, Ritvik Rajvanshi, Mohit Sewak:
Identification of Significant Permissions for Efficient Android Malware Detection. CoRR abs/2103.00643 (2021) - [i35]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems. CoRR abs/2109.05470 (2021) - [i34]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach. CoRR abs/2109.11500 (2021) - [i33]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator. CoRR abs/2109.11542 (2021) - [i32]Trupil Limbasiya, Sanjay K. Sahay, Bharath Sridharan:
Privacy-Preserving Mutual Authentication and Key Agreement Scheme for Multi-Server Healthcare System. CoRR abs/2110.09654 (2021) - 2020
- [i31]Trupil Limbasiya, Sanjay K. Sahay:
Secure and Energy-Efficient Key-Agreement Protocol for Multi-Server Architecture. CoRR abs/2004.10010 (2020) - [i30]Shriya T. P. Gupta, Sanjay K. Sahay:
A Novel Spatial-Spectral Framework for the Classification of Hyperspectral Satellite Imagery. CoRR abs/2008.02797 (2020) - [i29]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
DeepIntent: ImplicitIntent based Android IDS with E2E Deep Learning architecture. CoRR abs/2010.08607 (2020) - [i28]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 abs/2010.08608 (2020) - [i27]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS. CoRR abs/2012.14427 (2020) - 2019
- [i26]Sanjay Sharma, C. Rama Krishna, Sanjay K. Sahay:
Detection of Advanced Malware by Machine Learning Techniques. CoRR abs/1903.02966 (2019) - [i25]Ashu Sharma, Sanjay Kumar Sahay:
Group-wise classification approach to improve Android malicious apps detection accuracy. CoRR abs/1904.02122 (2019) - [i24]Hemant Rathore, Swati Agarwal, Sanjay K. Sahay, Mohit Sewak:
Malware Detection using Machine Learning and Deep Learning. CoRR abs/1904.02441 (2019) - [i23]Hemant Rathore, Sanjay K. Sahay, Palash Chaturvedi, Mohit Sewak:
Android Malicious Application Classification Using Clustering. CoRR abs/1904.10142 (2019) - [i22]Sanjay K. Sahay, Mayank Chaudhari:
An Efficient Detection of Malware by Naive Bayes Classifier Using GPGPU. CoRR abs/1905.13746 (2019) - [i21]Sanjay K. Sahay, Ashu Sharma:
A Survey on the Detection of Android Malicious Apps. CoRR abs/1905.13747 (2019) - [i20]Trupil Limbasiya, Debasis Das, Sanjay K. Sahay:
Secure Communication Protocol for Smart Transportation Based on VC]Secure Communication Protocol for Smart Transportation Based on Vehicular Cloud. CoRR abs/1912.12884 (2019) - 2018
- [i19]Ashu Sharma, Sanjay Kumar Sahay:
An investigation of the classifiers to detect android malicious apps. CoRR abs/1802.08611 (2018) - [i18]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
An investigation of a deep learning based malware detection system. CoRR abs/1809.05888 (2018) - [i17]Mohit Sewak, Sanjay K. Sahay, Hemant Rathore:
Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection. CoRR abs/1809.05889 (2018) - 2016
- [i16]Ashu Sharma, Sanjay Kumar Sahay:
An effective approach for classification of advanced malware with high accuracy. CoRR abs/1606.06897 (2016) - [i15]Sanjay Kumar Sahay, Ashu Sharma:
Grouping the executables to detect malware with high accuracy. CoRR abs/1606.06908 (2016) - [i14]Ashu Sharma, Sanjay Kumar Sahay, Abhishek Kumar:
Improving the detection accuracy of unknown malware by partitioning the executables in groups. CoRR abs/1606.06909 (2016) - [i13]Aruna Govada, Sanjay Kumar Sahay:
Covariance estimation for vertically partitioned data in a distributed environment. CoRR abs/1606.07336 (2016) - [i12]Aruna Govada, Sanjay Kumar Sahay:
A Communication Efficient and Scalable Distributed Data Mining for the Astronomical Data. CoRR abs/1606.07345 (2016) - 2015
- [i11]Rajendra Kumar Roul, Saransh Varshneya, Ashu Kalra, Sanjay Kumar Sahay:
A Novel Modified Apriori Approach for Web Document Clustering. CoRR abs/1503.08463 (2015) - [i10]Rajendra Kumar Roul, Shubham Rohan Asthana, Sanjay Kumar Sahay:
Automated Document Indexing via Intelligent Hierarchical Clustering: A Novel Approach. CoRR abs/1504.00191 (2015) - [i9]Aruna Govada, Bhavul Gauri, Sanjay Kumar Sahay:
Centroid Based Binary Tree Structured SVM for Multi Classification. CoRR abs/1512.00659 (2015) - [i8]Aruna Govada, Bhavul Gauri, Sanjay Kumar Sahay:
Distributed Multi Class SVM for Large Data Sets. CoRR abs/1512.00664 (2015) - [i7]Aruna Govada, Pravin Joshi, Sahil Mittal, Sanjay Kumar Sahay:
Hybrid Approach for Inductive Semi Supervised Learning using Label Propagation and Support Vector Machine. CoRR abs/1512.01568 (2015) - [i6]Aruna Govada, Shree Ranjani, Aditi Viswanathan, Sanjay Kumar Sahay:
A Novel Approach to Distributed Multi-Class SVM. CoRR abs/1512.01993 (2015) - 2014
- [i5]Rajendra Kumar Roul, Sanjay Kumar Sahay:
An Effective Approach for Web Document Classification using the Concept of Association Analysis of Data Mining. CoRR abs/1406.5616 (2014) - [i4]Rajendra Kumar Roul, O. R. Devanand, Sanjay Kumar Sahay:
Web Document Clustering and Ranking using Tf-Idf based Apriori Approach. CoRR abs/1406.5617 (2014) - [i3]Ashu Sharma, Sanjay Kumar Sahay:
Evolution and Detection of Polymorphic and Metamorphic Malwares: A Survey. CoRR abs/1406.7061 (2014) - 2012
- [i2]Rajendra Kumar Roul, Sanjay Kumar Sahay:
An Effective Information Retrieval for Ambiguous Query. CoRR abs/1204.1406 (2012) - [i1]Rajendra Kumar Roul, Sanjay Kumar Sahay:
An effective web document clustering for information retrieval. CoRR abs/1211.1107 (2012)
Coauthor Index
[j14] [j13] [j12] [j11] [j10] [j8] [j7] [j6] [j3] [c39] [c38] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c16] [c15] [c14] [c13] [c10] [c9] [c8] [c7] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i29] [i28] [i27] [i24] [i23] [i18] [i17]
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