16 citations · 36 across the 18 of their papers we have counts for
5 papers · 1 filter
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…
Empowering Malware Detection Efficiency within Processing-in-Memory Architecture
Sreenitha Kasarapu, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao
The widespread integration of embedded systems across various industries has facilitated seamless connectivity among devices and bolstered computational capabilities. Despite their…
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…
The Emergence of Hardware Fuzzing: A Critical Review of its Significance
Raghul Saravanan, Sai Manoj Pudukotai Dinakarrao
In recent years, there has been a notable surge in attention towards hardware security, driven by the increasing complexity and integration of processors, SoCs, and third-party IPs…