3 citations · 8 across the 5 of their papers we have counts for
5 papers
Optimizing Malware Detection in IoT Networks: Leveraging Resource-Aware Distributed Computing for Enhanced Security
Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao
In recent years, networked IoT systems have revolutionized connectivity, portability, and functionality, offering a myriad of advantages. However, these systems are increasingly ta…
Enhancing IoT Malware Detection through Adaptive Model Parallelism and Resource Optimization
Sreenitha Kasarapu, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao
The widespread integration of IoT devices has greatly improved connectivity and computational capabilities, facilitating seamless communication across networks. Despite their globa…
Generative AI-Based Effective Malware Detection for Embedded Computing Systems
Sreenitha Kasarapu, Sanket Shukla, Rakibul Hassan +3
One of the pivotal security threats for the embedded computing systems is malicious software a.k.a malware. With efficiency and efficacy, Machine Learning (ML) has been widely adop…
Design of secure and robust cognitive system for malware detection
Sanket Shukla
Machine learning based malware detection techniques rely on grayscale images of malware and tends to classify malware based on the distribution of textures in graycale images. Albe…
A Novel Malware Detection Mechanism based on Features Extracted from Converted Malware Binary Images
Abhijitt Dhavlle, Sanket Shukla
Our computer systems for decades have been threatened by various types of hardware and software attacks of which Malwares have been one of them. This malware has the ability to ste…