Enhanced mutual authentication model of IoT

Yang, Jianwei; Pang, Hao; Zhang, Xin

doi:10.1016/s1005-8885(13)60218-6

Cited by 16 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to meet the demands of the Internet of Things with limited power resources, AES uses extensive encryption keys and complex calculations, which led to high power consumption [20]. A better approach of reciprocal authentication has been presented in [21] for environments using Internet of things. For the challenged answer on RFID authentication protocol in the distributed database environment, they suggested various enhancements to the authentication algorithm [22].…”

Section: Literature Reviews On Internet Of Thingsmentioning

confidence: 99%

Internet of Things in Healthcare

2024

IJSREM

View full text Add to dashboard Cite

One particularly potent area where gadgets and embedded sensors can exchange data and communicate over the Internet is the Internet of Things. One of the most crucial methods for guaranteeing data privacy and security is authentication. Because internet of things devices and data might be extremely significant, security barriers are required to keep internet of things data safe from hackers. Devices that need certain authentication processes without requiring a lot of processing power are included in the category of internet of things devices. In addition to reviewing IoT applications in the healthcare industry, this study suggests a novel authentication method for IoT communication. There is a suggested structure for trustworthy and secure medical care. The suggested authentication technique offers a very secure and effective authentication mechanism.

show abstract

Section: Literature Reviews On Internet Of Thingsmentioning

confidence: 99%

Internet of Things in Healthcare

2024

IJSREM

View full text Add to dashboard Cite

show abstract

“…A device authentication technique is proposed in [ 113 ] by using the SVM classifier model while keeping [ 115 ] as their base model. The sensors and gateway communications in an IoMT architecture are secured by machine learning in trust management strategies and authentication techniques.…”

Section: Literature Reviewmentioning

confidence: 99%

A Survey of Authentication in Internet of Things-Enabled Healthcare Systems

Khan

Din

Majali

et al. 2022

Sensors

View full text Add to dashboard Cite

The Internet of medical things (IoMT) provides an ecosystem in which to connect humans, devices, sensors, and systems and improve healthcare services through modern technologies. The IoMT has been around for quite some time, and many architectures/systems have been proposed to exploit its true potential. Healthcare through the Internet of things (IoT) is envisioned to be efficient, accessible, and secure in all possible ways. Even though the personalized health service through IoT is not limited to time or location, many associated challenges have emerged at an exponential pace. With the rapid shift toward IoT-enabled healthcare systems, there is an extensive need to examine possible threats and propose countermeasures. Authentication is one of the key processes in a system’s security, where an individual, device, or another system is validated for its identity. This survey explores authentication techniques proposed for IoT-enabled healthcare systems. The exploration of the literature is categorized with respect to the technology deployment region, as in cloud, fog, and edge. A taxonomy of attacks, comprehensive analysis, and comparison of existing authentication techniques opens up possible future directions and paves the road ahead.

show abstract

“…Compared with EU FP7SENSEI, G. Fortina object abstraction and dynamic coordination, the model and some algorithm not only maintain IoT services stability and reliability, but also support the service dynamic composition. According to the E. G. da Silva dynamic service composition and S. C. Geyik robust dynamic sensor service composition, Y a n g, P a n g and Z h a n g [4] propose a life cycle-based distributed service description and dynamic composition model and its algorithm for a large heterogeneity, unstructured datadriver service, and decentralization service composition of atomic sensor service. Each PRA is abstracted into semantic service by metadata in sensor service description, which enhances robustness of service.…”

Section: Introductionmentioning

confidence: 99%