A Lightweight Three-Factor User Authentication Protocol for the Information Perception of IoT

Liang, Kun; Shi, Yiqi; Zhang, Liguo; Liu, Duo; Yang, Qing

doi:10.32604/cmc.2019.03760

Cited by 35 publications

(32 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, Attribute-Based Communication Control (ABCC) [108] has been introduced. A novel lightweight authentication protocol [109] has been proposed to protect password, which is based on smart card and biometric identification. Moreover, for multi-cloud interaction and collaboration across several connected communities, there needs distributed computing enabled by dynamic trust frameworks.…”

Section: Open Challenges and Future Directionsmentioning

confidence: 99%

Future Smart Connected Communities to Fight COVID-19 Outbreak

et al. 2021

View full text Add to dashboard Cite

Internet of Things (IoT) has grown rapidly in the last decade and continue to develop in terms of dimension and complexity, offering wide range of devices to support diverse set of applications. With ubiquitous Internet, connected sensors and actuators, networking and communication technology along with artificial intelligence (AI), smart cyber-physical systems (CPS) provide services rendering assistance and convenience to humans in their daily lives. However, the recent outbreak of COVID-19 (also known as coronavirus) pandemic has exposed and highlighted the limitations of contemporary technological deployments especially to contain the wide spread of this disease. IoT and smart connected technologies together with data-driven applications can play a crucial role not only in the prevention, mitigation or continuous remote monitoring of patients, but also enable prompt enforcement of guidelines, rules and administrative orders to contain such future outbreaks. In this paper, we envision an IoT and data supported connected ecosystem designed for intelligent monitoring, pro-active prevention and control, and mitigation of COVID-19 and similar epidemics. We propose a gamut of synergistic applications and technology systems for various smart infrastructures including E-Health, smart home, supply chain management, transportation, and city, which will work in convergence to develop ‘pandemic-proof’ future smart communities. We also present a generalized cloud-enabled IoT implementation framework along with scientific solutions, which can be adapted and extended to deploy smart connected ecosystem scenarios using widely used Amazon Web Services (AWS) cloud infrastructures. In addition, we also implement an E-Health RPM use case scenario to demonstrate the need and practicality for smart connected communities. Finally, we highlight challenges and research directions which need thoughtful consideration and across the board cooperation among stakeholders to build resilient communities against future pandemics.

show abstract

Section: Open Challenges and Future Directionsmentioning

confidence: 99%

Future Smart Connected Communities to Fight COVID-19 Outbreak

et al. 2021

View full text Add to dashboard Cite

show abstract

“…In fact, policies and credentials are revealed only when they are required, avoiding the disclosure of extra information when it is not needed. This is an important aspect to take into consideration in order to develop authentication processes for the IoT field [35]. Finally, regarding the evaluation models, Moyano identified that a trust level is always present and it could be uni-dimensional or multi-dimensional.…”

Section: Related Workmentioning

confidence: 99%

A model-driven approach to ensure trust in the IoT

Ferraris

Fernández-Gago

López

2020

Hum. Cent. Comput. Inf. Sci.

View full text Add to dashboard Cite

The Internet of Things (IoT) is a paradigm that permits smart entities to be interconnected anywhere and anyhow. IoT opens new opportunities but also rises new issues. In this dynamic environment, trust is useful to mitigate these issues. In fact, it is important that the smart entities could know and trust the other smart entities in order to collaborate with them. So far, there is a lack of research when considering trust through the whole System Development Life Cycle (SDLC) of a smart IoT entity. In this paper, we suggest a new approach that considers trust not only at the end of the SDLC but also at the start of it. More precisely, we explore the modeling phase proposing a model-driven approach extending UML and SysML considering trust and its related domains, such as security and privacy. We propose stereotypes for each diagram in order to give developers a way to represent trust elements in an effective way. Moreover, we propose two new diagrams that are very important for the IoT: a traceability diagram and a context diagram. This model-driven approach will help developers to model the smart IoT entities according to the requirements elicited in the previous phases of the SDLC. These models will be a fundamental input for the following and final phases of the SDLC.

show abstract

“…Context-aware security can take into account the growing and different threats within IoT. For example, instead of static three-factor authentication as proposed in [5], the Context Adaptive Authentication Service (CAAS) allows a user to dynamically choose a type of authentication: simple (one-factor) or strong (two-factor or three-factor). e chosen authentication method depends on the risk associated to the user's context [6].…”

Section: Introductionmentioning

confidence: 99%

SETUCOM: Secure and Trustworthy Context Management for Context-Aware Security and Privacy in the Internet of Things

Sylla

Chalouf

Krief

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

IoT technologies facilitate the development and the improvement of pervasive computing by enabling effective context-awareness features. These features enable the IoT applications to detect the user’s situation and adapt their behavior. They also enable context-aware security and privacy, which consist in adapting security and privacy mechanisms’ deployment to the user’s situation. Research studies on context-aware security and privacy focus on security and privacy mechanisms’ implementation but do not consider the secure and trustworthy context management. In this paper, we introduce a new secure and trustworthy context management system for context-aware security and privacy in the smart city: “SETUCOM.” SETUCOM is the implementation of the DTM (Device Trust Management) module of the CASPaaS (Context-Aware Security and Privacy as a Service) architecture. It secures context information exchange by using a lightweight hybrid encryption system adapted to IoT devices and manages trust through artificial intelligence techniques such as Bayesian networks and fuzzy logic. A detailed description of the proposed system is provided, and its main performances are evaluated. The results prove SETUCOM feasibility in context-aware security and privacy for the smart city.

show abstract

A Lightweight Three-Factor User Authentication Protocol for the Information Perception of IoT

Cited by 35 publications

References 8 publications

Future Smart Connected Communities to Fight COVID-19 Outbreak

Future Smart Connected Communities to Fight COVID-19 Outbreak

A model-driven approach to ensure trust in the IoT

SETUCOM: Secure and Trustworthy Context Management for Context-Aware Security and Privacy in the Internet of Things

Contact Info

Product

Resources

About