Zobrazeno 1 - 10
of 669
pro vyhledávání: '"IoT networks"'
Autor:
Shamshair Ali, Rubina Ghazal, Nauman Qadeer, Oumaima Saidani, Fatimah Alhayan, Anum Masood, Rabia Saleem, Muhammad Attique Khan, Deepak Gupta
Publikováno v:
Alexandria Engineering Journal, Vol 103, Iss , Pp 88-97 (2024)
In an era dominated by the Internet of Things (IoT), protecting interconnected devices from botnets has become essential. This study introduces an innovative hybrid deep learning model that synergizes LSTM Auto Encoders and Multilayer Perceptrons in
Externí odkaz:
https://doaj.org/article/6bf020167fef4681b009d604e408465d
Autor:
Robby Kurniawan Harahap, Alief Vickry Thaha Maulidzart, Antonius Irianto Sukowati, Dyah Nur’ainingsih, Widyastuti, Desy Kristyawati
Publikováno v:
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, Vol 13, Iss 3, Pp 186-194 (2024)
Radio frequency identification (RFID) technology integrated into the Internet of things (IoT) networks often poses security and privacy concerns due to its attack vulnerability. This research proposed a lightweight cryptographic model tailored for im
Externí odkaz:
https://doaj.org/article/8eb0f7b2f30946029c887b9e0a06cb91
Publikováno v:
Measurement: Sensors, Vol 33, Iss , Pp 101130- (2024)
The IoT (Internet of Things) has been rapidly growing to make a stronger influence on huge industrial systems. Since cybercriminals have made IoT a target for harmful operations such as botnets, an attack on the end nodes is now a possibility. Protec
Externí odkaz:
https://doaj.org/article/fe79a7f11c194dbcbbfde1611236035d
Autor:
Ying Sun
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-15 (2024)
Abstract This paper investigates the integration of relay-assisted Internet of Things (IoT) systems, focusing on the use of multiple relays to enhance the system performance. The central metric of interest in this study is system outage probability,
Externí odkaz:
https://doaj.org/article/69f7cc5c1898426880b52f7bbaab5d61
Autor:
Udit Agarwal, Vinay Rishiwal, Mano Yadav, Majid Alshammari, Preeti Yadav, Omkar Singh, Vinay Maurya
Publikováno v:
IEEE Access, Vol 12, Pp 143945-143974 (2024)
The growing complexities in supply chain management, driven by internationalization, decentralization, and modernization, are increasingly threatened by data breaches, network intrusions, and software vulnerabilities. Business stakeholders are turnin
Externí odkaz:
https://doaj.org/article/8f0802f76f6649c5b76bd7a2fa51a555
Autor:
Abubakar Wakili, Sara Bakkali
Publikováno v:
International Journal of Intelligent Networks, Vol 5, Iss , Pp 325-339 (2024)
Within the Internet of Things (IoT) ecosystem, the Routing Protocol for Low-Power and Lossy Networks (RPL) serves as a foundational element for network communication. The protocol's effectiveness depends on its Objective Function (OF), which orchestr
Externí odkaz:
https://doaj.org/article/a290d2945fce4e4da8773f8db53e5b43
Publikováno v:
IEEE Access, Vol 12, Pp 118618-118636 (2024)
Authentication in low-latency Internet of Things (IoT) networks must satisfy three requirements, namely, high security and privacy preservation, high scalability, and low authentication time. These requirements arise because devices in IoT networks m
Externí odkaz:
https://doaj.org/article/529d8ebd69ad461ba1d2ef9f6bdf70ce
Publikováno v:
IEEE Access, Vol 12, Pp 6590-6603 (2024)
The Internet of Things (IoT) is evolving, driven by the increasing demand for bandwidth. A key focus is on minimizing communication delays. This paper introduces a new solution called Predictive Dynamic Bandwidth Allocation (PDBA), using adaptive pre
Externí odkaz:
https://doaj.org/article/9371a63df4a94c55b229a64f2d62ccb6
Autor:
Yaser Alhasawi, Salem Alghamdi
Publikováno v:
IEEE Access, Vol 12, Pp 42357-42368 (2024)
In the ever-expanding domain of Internet of Things (IoT) networks, Distributed Denial of Service (DDoS) attacks represent a significant challenge, compromising the reliability of these systems. Traditional centralized detection methods struggle to co
Externí odkaz:
https://doaj.org/article/1701eb466706421cb039c7f016b9daf9
Autor:
Mohamed Amine Ferrag, Mthandazo Ndhlovu, Norbert Tihanyi, Lucas C. Cordeiro, Merouane Debbah, Thierry Lestable, Narinderjit Singh Thandi
Publikováno v:
IEEE Access, Vol 12, Pp 23733-23750 (2024)
The field of Natural Language Processing (NLP) is currently undergoing a revolutionary transformation driven by the power of pre-trained Large Language Models (LLMs) based on groundbreaking Transformer architectures. As the frequency and diversity of
Externí odkaz:
https://doaj.org/article/449290c1e12e415382c70527bb86aa84