5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Birla Institute of Technology and Science, PilaniIN126 papers
- Homi Bhabha National InstituteIN13 papers
- Saha Institute of Nuclear PhysicsIN11 papers
- GLA UniversityIN10 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- University of CoimbraPT8 papers
- Charotar University of Science and TechnologyIN7 papers
- Indian Institute of Science BangaloreIN7 papers
- Indian Institute of Science Education and Research KolkataIN7 papers
- Indian Institute of AstrophysicsIN5 papers
- Massachusetts Institute of TechnologyUS5 papers
- Microsoft Research (India)IN5 papers
15 papers · 1 filter
The New Frontier of Cybersecurity: Emerging Threats and Innovations
Daksh Dave, Gauransh Sawhney, Pushkar Aggarwal +2
In today's digitally interconnected world, cybersecurity threats have reached unprecedented levels, presenting a pressing concern for individuals, organizations, and governments. T…
Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
The cybersecurity threat landscape has lately become overly complex. Threat actors leverage weaknesses in the network and endpoint security in a very coordinated manner to perpetua…
Privacy-Preserving Mutual Authentication and Key Agreement Scheme for Multi-Server Healthcare System
Trupil Limbasiya, Sanjay K. Sahay, Bharath Sridharan
The usage of different technologies and smart devices helps people to get medical services remotely for multiple benefits. Thus, critical and sensitive data is exchanged between a…
LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
Long-Short-Term-Memory (LSTM) networks have shown great promise in artificial intelligence (AI) based language modeling. Recently, LSTM networks have also become popular for design…
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
Supervised Deep Learning requires plenty of labeled data to converge, and hence perform optimally for task-specific learning. Therefore, we propose a novel mechanism named DRo (for…
Identification of Significant Permissions for Efficient Android Malware Detection
Hemant Rathore, Sanjay K. Sahay, Ritvik Rajvanshi +1
Since Google unveiled Android OS for smartphones, malware are thriving with 3Vs, i.e. volume, velocity, and variety. A recent report indicates that one out of every five business/i…
Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering
Hemant Rathore, Sanjay K. Sahay, Shivin Thukral +1
Today anti-malware community is facing challenges due to the ever-increasing sophistication and volume of malware attacks developed by adversaries. Traditional malware detection me…
Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
Recurrent deep learning language models like the LSTM are often used to provide advanced cyber-defense for high-value assets. The underlying assumption for using LSTM networks for…
Secure Communication Protocol for Smart Transportation Based on Vehicular Cloud
Trupil Limbasiya, Debasis Das, Sanjay K. Sahay
The pioneering concept of connected vehicles has transformed the way of thinking for researchers and entrepreneurs by collecting relevant data from nearby objects. However, this da…
Malware Detection using Machine Learning and Deep Learning
Hemant Rathore, Swati Agarwal, Sanjay K. Sahay +1
Research shows that over the last decade, malware has been growing exponentially, causing substantial financial losses to various organizations. Different anti-malware companies ha…
An investigation of a deep learning based malware detection system
Mohit Sewak, Sanjay K. Sahay, Hemant Rathore
We investigate a Deep Learning based system for malware detection. In the investigation, we experiment with different combination of Deep Learning architectures including Auto-Enco…
An investigation of the classifiers to detect android malicious apps
Ashu Sharma, Sanjay K. Sahay
Android devices are growing exponentially and are connected through the internet accessing billion of online websites. The popularity of these devices encourages malware developer…
Improving the detection accuracy of unknown malware by partitioning the executables in groups
Ashu Sharma, Sanjay K. Sahay, Abhishek Kumar
Detection of unknown malware with high accuracy is always a challenging task. Therefore, in this paper, we study the classification of unknown malware by two methods. In the first/…
Survey on security issues in file management in cloud computing environment
Udit Gupta
Cloud computing has pervaded through every aspect of Information technology in past decade. It has become easier to process plethora of data, generated by various devices in real t…
Evolution and Detection of Polymorphic and Metamorphic Malwares: A Survey
Ashu Sharma, S. K. Sahay
Malwares are big threat to digital world and evolving with high complexity. It can penetrate networks, steal confidential information from computers, bring down servers and can cri…