Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kasarapu, Sreenitha"'
The widespread integration of embedded systems across various industries has facilitated seamless connectivity among devices and bolstered computational capabilities. Despite their extensive applications, embedded systems encounter significant securi
Externí odkaz:
http://arxiv.org/abs/2404.08818
The widespread integration of IoT devices has greatly improved connectivity and computational capabilities, facilitating seamless communication across networks. Despite their global deployment, IoT devices are frequently targeted for security breache
Externí odkaz:
http://arxiv.org/abs/2404.08808
In recent years, networked IoT systems have revolutionized connectivity, portability, and functionality, offering a myriad of advantages. However, these systems are increasingly targeted by adversaries due to inherent security vulnerabilities and lim
Externí odkaz:
http://arxiv.org/abs/2404.10012
Autor:
Kasarapu, Sreenitha, Shukla, Sanket, Hassan, Rakibul, Sasan, Avesta, Homayoun, Houman, Dinakarrao, Sai Manoj Pudukotai
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 adopted for malware detection in recent times. Despite being efficient, th
Externí odkaz:
http://arxiv.org/abs/2404.02344
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Kasarapu, Sreenitha1 rhassa2@gmu.edu, Hassan, Rakibul1 spudukot@gmu.edu, Homayoun, Houman2 hhomayoun@ucdavis.edu, Pudukotai Dinakarrao, Sai Manoj1
Publikováno v:
COVID. Jun2022, Vol. 2 Issue 6, p767-792. 26p.
