activity
20122025
most citedMalware Detection using Machine Learning and Deep Learning

124 citations · 605 across the 39 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CR2020★ 11 cited

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…

cs.CR2020★ 17 cited

DOOM: A Novel Adversarial-DRL-Based Op-Code Level Metamorphic Malware Obfuscator for the Enhancement of IDS

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

We designed and developed DOOM (Adversarial-DRL based Opcode level Obfuscator to generate Metamorphic malware), a novel system that uses adversarial deep reinforcement learning to…

cs.CR2020★ 15 cited

DeepIntent: ImplicitIntent based Android IDS with E2E Deep Learning architecture

Mohit Sewak, Sanjay K. Sahay, Hemant Rathore

The Intent in Android plays an important role in inter-process and intra-process communications. The implicit Intent that an application could accept are declared in its manifest a…

cs.CV2020

A Novel Spatial-Spectral Framework for the Classification of Hyperspectral Satellite Imagery

Shriya TP Gupta, Sanjay K Sahay

Hyper-spectral satellite imagery is now widely being used for accurate disaster prediction and terrain feature classification. However, in such classification tasks, most of the pr…

cs.CR2020

Secure and Energy-Efficient Key-Agreement Protocol for Multi-Server Architecture

Trupil Limbasiya, Sanjay K. Sahay

Authentication schemes are practised globally to verify the legitimacy of users and servers for the exchange of data in different facilities. Generally, the server verifies a user…

cs.CR2020

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…