On-device malware detection using performance-aware and robust collaborative learning
The proliferation of the Internet-of-Things (IoT) devices has facilitated smart connectivity and
enhanced computational capabilities. Lack of proper security protocols in such devices …
enhanced computational capabilities. Lack of proper security protocols in such devices …
Resource-and workload-aware model parallelism-inspired novel malware detection for iot devices
S Kasarapu, S Shukla… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The wide adoption of Internet of Things (IoT) devices has led to better connectivity along with
seamless communication and smart computation capabilities across the network. Despite …
seamless communication and smart computation capabilities across the network. Despite …
Federated learning with heterogeneous models for on-device malware detection in iot networks
IoT devices have been widely deployed in many applications to facilitate smart technology,
increased portability, and seamless connectivity. Despite being widely adopted, security in …
increased portability, and seamless connectivity. Despite being widely adopted, security in …
Risk and threat mitigation techniques in internet of things (IoT) environments: a survey
M Salayma - Frontiers in The Internet of Things, 2024 - frontiersin.org
Security in the Internet of Things (IoT) remains a predominant area of concern. Although
several other surveys have been published on this topic in recent years, the broad spectrum …
several other surveys have been published on this topic in recent years, the broad spectrum …
Empowering Malware Detection Efficiency within Processing-in-Memory Architecture
S Kasarapu, S Bavikadi, SMP Dinakarrao - arXiv preprint arXiv …, 2024 - arxiv.org
The widespread integration of embedded systems across various industries has facilitated
seamless connectivity among devices and bolstered computational capabilities. Despite …
seamless connectivity among devices and bolstered computational capabilities. Despite …
Iron-dome: Securing iot networked systems at runtime by network and device characteristics to confine malware epidemics
The rapid growth of IoT networks presents an enlarged" attack space" for the adversary and
poses significant security risks on a large scale. A single device in a network that is …
poses significant security risks on a large scale. A single device in a network that is …
UBOL: User-Behavior-aware one-shot learning for safe autonomous driving
S Shukla, S Kasarapu, R Hasan… - 2022 Fifth International …, 2022 - ieeexplore.ieee.org
In autonomous and self-driving vehicles, visual perception of the driving environment plays
a key role. To achieve this goal, the systems of the vehicle rely on deep neural networks …
a key role. To achieve this goal, the systems of the vehicle rely on deep neural networks …
Design of secure and robust cognitive system for malware detection
S Shukla - arXiv preprint arXiv:2208.02310, 2022 - arxiv.org
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. Albeit …
and tends to classify malware based on the distribution of textures in graycale images. Albeit …
A novel malware detection mechanism based on features extracted from converted malware binary images
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 …
software attacks of which Malwares have been one of them. This malware has the ability to …
Reverse Engineering of Integrated Circuits: Tools and Techniques
A Dhavlle - arXiv preprint arXiv:2208.08689, 2022 - arxiv.org
Consumer and defense systems demanded design and manufacturing of electronics with
increased performance, compared to their predecessors. As such systems became …
increased performance, compared to their predecessors. As such systems became …