Overview of IoT Security Architecture

Zhang, Jian; Jin, Huanran; Gong, Liangyi; Cao, Jing; Gu, Zhaojun

doi:10.1109/dsc.2019.00058

Cited by 9 publications

(2 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, the Open Web Application Security Project (OWASP) [39] identified attack vectors using the three layers of an IoT system: hardware, communication links, and interfaces/services layers. Thus, as shown in Figure 5 at all layers of the IoT architecture, implementation of IoT security mitigation techniques should include security architecture [40].…”

Section: Critical Analysis Of Iot Security 41 Threat Modelingmentioning

confidence: 99%

Artificial Intelligence Deployment to Secure IoT in Industrial Environment

ALAmri¹,

ALAbri²,

Sharma³

2023

Quality Control - An Anthology of Cases

View full text Add to dashboard Cite

Performance enhancement and cost-effectiveness are the critical factors for most industries. There is a variation in the performance and cost matrices based on the industrial sectors; however, cybersecurity is required to be maintained since most of the 4th industrial revolution (4IR) are based on technology. Internet of Things, IoT, technology is one of the 4IR pillars that support enhancing performance and cost. Like most Internet-based technologies, IoT has some security challenges mostly related to access control and exposed services. Artificial intelligence (AI) is a promising approach that can enhance cybersecurity. This chapter explores industrial IoT (IIoT) from the business view and the security requirements. It also provides a critical analysis of the security challenges faced by IoT systems. Finally, it presents a comparative study of the advisable AI categories to be used in mitigating IoT security challenges.

show abstract

Section: Critical Analysis Of Iot Security 41 Threat Modelingmentioning

confidence: 99%

Artificial Intelligence Deployment to Secure IoT in Industrial Environment

ALAmri¹,

ALAbri²,

Sharma³

2023

Quality Control - An Anthology of Cases

View full text Add to dashboard Cite

show abstract

“…TCG defines trust by the predictability of entity behavior: An entity is trusted if its behavior always achieves the expected goal in the expected manner. Professor Zhang Huanguo of Wuhan University gave a popular explanation for credibility: credibility ≈ reliability+safety [9,10]. Academician Shen Changxiang innovatively proposed active immune trusted computing, which refers to the computer performing security protection while computing, ensuring that the logical combination for completing the computing task is not tampered with and destroyed, and that the entire process of computing is measurable, controllable, and not interfered with, making the computing results as expected [11].…”

Section: Multi Agent Trusted Interaction Architecturementioning

confidence: 99%

Trusted authentication method for privacy information

Chen,

Li,

Chen

2023

Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023)

View full text Add to dashboard Cite

Aiming at the data security management and control requirements in big data sharing and utilization scenarios, a trusted computing based inter agent interaction architecture is designed, which utilizes integrity metrics to achieve trust chain transfer within and between nodes, ensuring the security and reliability of the nodes themselves and their interactions. Aiming at the privacy protection problem in multi agent sharing scenarios, a remote authentication scheme based on Merkle tree is proposed. The Merkle tree is constructed based on information fragmentation and sequence as the basis for remote authentication, which effectively protects the privacy of information without tampering with its structure and content during transmission.

show abstract

A Comparative Study of Threat Detection for IoT Devices Using Machine Learning Techniques

Priya,

Greeshma

2024

Internet of Things

View full text Add to dashboard Cite

Overview of IoT Security Architecture

Cited by 9 publications

References 23 publications

Artificial Intelligence Deployment to Secure IoT in Industrial Environment

Artificial Intelligence Deployment to Secure IoT in Industrial Environment

Trusted authentication method for privacy information

A Comparative Study of Threat Detection for IoT Devices Using Machine Learning Techniques

Contact Info

Product

Resources

About