Zobrazeno 1 - 10
of 204
pro vyhledávání: '"Sai Manoj P"'
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
With the increasing popularity of Graph Neural Networks (GNNs) for predictive tasks on graph structured data, research on their explainability is becoming more critical and achieving significant progress. Although many methods are proposed to explain
Externí odkaz:
https://doaj.org/article/1a1fd7ce4ba14445ad750fe05aa278a4
Autor:
Amir Hosein Afandizadeh Zargari, Marzieh AshrafiAmiri, Minjun Seo, Sai Manoj Pudukotai Dinakarrao, Mohammed E. Fouda, Fadi Kurdahi
Publikováno v:
Information, Vol 14, Iss 12, p 656 (2023)
Reverse engineering (RE) in Integrated Circuits (IC) is a process in which one will attempt to extract the internals of an IC, extract the circuit structure, and determine the gate-level information of an IC. In general, the RE process can be done fo
Externí odkaz:
https://doaj.org/article/edf4b4e10f1d420781f9eeab1556c5bf
Autor:
Thomas Mountford, Abhijitt Dhavlle, Andrew Tevebaugh, Naseef Mansoor, Sai Manoj Pudukotai Dinakarrao, Amlan Ganguly
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 13, Iss 3, p 50 (2023)
In modern computing, which relies on the interconnection of networks used in many/multi-core systems, any system can be critically subverted if the interconnection is compromised. This can be done in a multitude of ways, but the threat of a hardware
Externí odkaz:
https://doaj.org/article/c8b293d79cd0413795e34b707e0fb22d
Autor:
Sun, Heng, Jalam, Sai Manoj, Kodali, Havish, Nerella, Subhash, Zapata, Ruben D., Gravina, Nicole, Ray, Jessica, Schmidt, Erik C., Manini, Todd Matthew, Parisa, Rashidi
Mobile health (mHealth) apps have gained popularity over the past decade for patient health monitoring, yet their potential for timely intervention is underutilized due to limited integration with electronic health records (EHR) systems. Current EHR
Externí odkaz:
http://arxiv.org/abs/2410.21507
In this paper, we present a novel, scalable approach for constructing open set, instance-level 3D scene representations, advancing open world understanding of 3D environments. Existing methods require pre-constructed 3D scenes and face scalability is
Externí odkaz:
http://arxiv.org/abs/2407.14279
Autor:
Sai Manoj Pudukotai Dinakarrao, Xiaojie Guo, Hossein Sayadi, Cameron Nowzari, Avesta Sasan, Setareh Rafatirad, Liang Zhao, Houman Homayoun
Publikováno v:
IEEE Access, Vol 8, Pp 138508-138528 (2020)
The sheer volume of IoT networks being deployed today presents a major “attack surface” and poses significant security risks at a scale never encountered before. In other words, a single IoT device/node that gets infected with malware has the pot
Externí odkaz:
https://doaj.org/article/a9c4c27bc55a47d4b89fcd08aa4fd8b5
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