An improved lightweight anonymous user authenticated session key exchange scheme for Internet of Things

Kumar, Devender; Jain, Siddharth; Khan, Aasif; Pathak, Pranav Sarv

doi:10.1007/s12652-020-02532-8

Cited by 12 publications

(15 citation statements)

References 49 publications

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“…The cloud service center is honest and curious, that is, it will honestly execute the protocol content, but it may attempt to invade the privacy data of users for profit or curiosity. The cloud service center may steal user privacy, while malicious external attackers may attempt to obtain privacy data through channel eavesdropping, forgery, and message modification [25][26][27][28][29][30][31][32][33][34][35][36]. The opponents above are all probability polynomial time.…”

Section: Threat Modelmentioning

confidence: 99%

A Trusted Internet of Things Access Scheme for Cloud Edge Collaboration

Zhu,

Zhou,

Jiang

2024

Electronics

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With the rapid popularization of current Internet of Things (IoT) technology and 5G networks, as well as the continuous updating of new service lifestyles and businesses, the era of big data processing for the IoT has arrived. However, centralizing all data for processing in the cloud can lead to issues such as communication latency and privacy breaches. To solve these problems, edge computing, as a new network architecture close to terminal data sources and supporting low latency services, has gradually emerged. In this context, cloud edge collaborative computing has become an important network architecture. With the changing security requirements and communication methods of cloud edge collaborative network architecture, traditional authentication key agreement protocols are no longer applicable. Therefore, a new IoT authentication and key agreement protocol needs to be designed to solve this problem. This study proposes an IoT accessible solution for cloud edge collaboration. This scheme adopts a chaotic mapping algorithm to achieve efficient authentication. It ensures the anonymity and untraceability of users. Following this, we conducted strict security verification using BAN logic and Scyther tools. Through experimental comparative analysis, the research results show that the protocol performs better than other schemes while ensuring security. This indicates that the protocol can achieve efficient authentication and key negotiation in cloud edge collaborative network architecture, providing a secure and reliable solution for the accessibility of the IoT.

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Section: Threat Modelmentioning

confidence: 99%

A Trusted Internet of Things Access Scheme for Cloud Edge Collaboration

Zhu,

Zhou,

Jiang

2024

Electronics

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“…The study underscores the importance of user experience and usability, factors that closely intersect with the security and privacy features of these devices. Additionally, Kumar et al present a provably secure and lightweight anonymous user-authenticated session key exchange scheme for IoT, addressing critical security concerns within the IoT ecosystem (Kumar D, 2020). Furthermore, Pal et al investigate prohibitive factors to the acceptance of IoT technology, particularly within a smart home context (Pal D, 2021).…”

Section: Privacy and Security: Technology Acceptance Modelmentioning

confidence: 99%

Security and Privacy Concerns in the Adoption of Iot Smart Homes: A User-Centric Analysis

Magara,

Zhou

2024

Mitteilungen Klosterneuburg

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The emergence of Internet of Things (IoT) technologies marks a transformative phase in home automation, promising enhanced convenience and efficiency. These technologies offer a multitude of applications that can greatly enhance daily living experiences. With IoT, users gain the ability to remotely manage household devices, control appliances from afar, and receive automated alerts in case of anomalies. However, despite the potential benefits, concerns surrounding security and privacy hinder widespread trust and adoption of these applications. Addressing these concerns is paramount for the broader acceptance and deployment of IoT technologies in smart homes. Various solutions have been proposed to tackle security and privacy issues, yet significant challenges persist, impeding widespread adoption. A user-centric approach emerges as a promising avenue to mitigate many of these challenges. By prioritizing user needs and preferences, it becomes possible to tailor security and privacy measures effectively while supporting diverse IoT applications. We evaluated the proposed IoT smart home adoption model using SMART-PLS version (4.0.9.6), The results show that the proposed relationships are statistically significant (R2 = 0.762). Our research sheds light on the crucial security and privacy considerations within the IoT smart home domain, offering valuable insights into the factors influencing user adoption decisions. This contribution advances the discourse surrounding IoT technology adoption and lays the groundwork for future research and policy initiatives in the dynamic landscape of smart homes.

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“…The study underscores the importance of user experience and usability, factors that closely intersect with the security and privacy features of these devices. Additionally, Kumar et al present a provably secure and lightweight anonymous userauthenticated session key exchange scheme for IoT, addressing critical security concerns within the IoT ecosystem [9]. Furthermore, Pal et al investigate prohibitive factors to the acceptance of IoT technology, particularly within a smart home context [10].…”

Section: Privacy and Security: Technology Acceptance Modelmentioning

confidence: 99%

Security and Privacy Concerns in the Adoption of IoT Smart Homes: A User-Centric Analysis

Magara,

Zhou

2024

AJIST

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The advancement of Internet of Things (IoT) technologies has ushered in a new era of smart homes, promising convenience and automation. However, alongside these advancements, concerns regarding the security and privacy of Internet of Things smart homes have garnered significant attention. The study embarked on a user-centric analysis, delving into the intricacies of security and privacy concerns in the adoption of Internet of Things smart homes. The primary purpose of this research was to investigate the security and privacy concerns that users harbour when adopting Internet of Things smart home technologies. We used SMART-PLS version (4.0.9.6) as the data analysis tool, to examine the concerns and to gain a comprehensive understanding of their impact on adoption. The analysis was, rooted in quantitative research design and based on data gathered through an online questionnaire distributed to the target population of 325 participants. The research response rate was 92%. The hypotheses examined unveiled statistically significant relationships, culminating in results indicating an R<sup>2</sup> of 0.762. This implies that approximately 76.2% of the rationale behind individuals' decisions to either adopt or refrain from using IoT smart home devices, with a focus on security and privacy considerations, can be elucidated by our proposed Structural Equation Model. his model served as a comprehensive lens through which we dissected the intricate interplay of variables shaping user attitudes and behaviors. The study sheds light on the critical concerns of security and privacy within the IoT smart home domain. By leveraging quantitative analysis and a well-crafted Structural Equation Model, we offer valuable insights into the factors influencing user adoption decisions. The research contributes to the broader discourse IoT technology adoption and serves as a foundation for future studies and policy considerations in the ever-evolving landscape of smart homes.

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An improved lightweight anonymous user authenticated session key exchange scheme for Internet of Things

Cited by 12 publications

References 49 publications

A Trusted Internet of Things Access Scheme for Cloud Edge Collaboration

A Trusted Internet of Things Access Scheme for Cloud Edge Collaboration

Security and Privacy Concerns in the Adoption of Iot Smart Homes: A User-Centric Analysis

Security and Privacy Concerns in the Adoption of IoT Smart Homes: A User-Centric Analysis

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