Security-Oriented Framework for Internet of Things Smart-Home Applications

Chifor, Bogdan-Cosmin; Arseni, Ștefan-Ciprian; Matei, Ioana; Bica, Ion

doi:10.1109/cscs.2019.00033

Cited by 10 publications

(3 citation statements)

References 11 publications

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“…Furthermore, smart home applications are considered to benefit from zero trust as different devices on the network are used to communicate with cloud services. To ensure that services access is blocked from unauthorized nodes in the network, the user's smartphone can act as an SDP controller to mediate communications between the IoT and the cloud [29].To overcome the challenges associated with central authentication instances, Samaniego et al [30] proposed blockchain-based middleware that handled access authentication in a decentralized manner. In addition, the zero trust principle can also be used to transfer sensitive data.…”

Section: Zero Trust Securitymentioning

confidence: 99%

Key Management Protocol for Heterogeneous Sensor Networks Based on Zero Trust Security and Chaotic Neural Networks

Xie

Zhang

2023

Preprint

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In view of the node security risks and key management vulnerabilities in heterogeneous sensor networks, a key management protocol for heterogeneous sensor networks based on zero trust security and chaotic neural networks (KMPHSN-ZTSCNN) was proposed. Taking advantages of the decomposition difficulty of singular matrix and chaotic classification characteristics of Hopfield overload chaotic neural network, the node registration and authentication of sensor network were achieved by blockchain and zero-knowledge proof. The channel state information (CSI) and the adjustable mathematical function were relied on to generate a dynamically changing key to complete continuous verification and achieve zero trust security authentications, thus ensuring data security. The protocol can dynamically allocate different keyspace sizes according to the security level of the group, the storage capacity if the nodeand computing capacity and can adapt to the asymmetric structure of heterogeneous sensor networks. Theoretical proof and experimental performance analysis results show that the protocol is feasible and can meet the security requirements of heterogeneous sensor networks.

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Section: Zero Trust Securitymentioning

confidence: 99%

Key Management Protocol for Heterogeneous Sensor Networks Based on Zero Trust Security and Chaotic Neural Networks

Xie

Zhang

2023

Preprint

View full text Add to dashboard Cite

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“…In addition, smart home applications are seen to benefit from zero trust as different devices on the network are used to communicate with cloud services. To ensure that access to services from unauthorized nodes in the network is blocked, the user's smartphone can act as an SDP controller, mediating communication between the IoT and the cloud [29]. To overcome the challenges associated with centralized authentication instances, Samaniego et al [30] propose blockchain-based middleware that handles access authentication in a decentralized manner.…”

Section: Zero Trust Securitymentioning

confidence: 99%

A Key Management Protocol for Heterogeneous Sensor Networks Based on Zero Trust Security and Chaotic Neural Networks

Xie

Zou

2022

Preprint

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Aiming at the node security risks and key management vulnerabilities in heterogeneous sensor networks, a key management protocol for heterogeneous sensor networks based on zero-trust security and chaotic neural networks (KMPHSN-ZTSCNN) was proposed. Based on the singular matrix decomposition of difficulty and Hopfield overload chaos neural network classification features, using blockchain and zero-knowledge proof to realize sensor network node registration and authentication, it relies on channel state information (CSI) and adjustable mathematical function to generate dynamically changing keys to complete continuous verification and achieve zero-trust security authentication to ensure data security. The protocol can dynamically allocate different keyspace sizes according to the security level of the group, node storage capacity and computing capacity, and can adapt to the asymmetric structure of heterogeneous sensor networks. Theoretical proof and experimental performance analysis show that the protocol is feasible and can meet the security requirements of heterogeneous sensor networks.

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“…The platform architecture was also one of our research topics of [4][5][6], but, while our previous work was focused more on the design of the platform, the current effort is focused on implementing and analyzing the challenges of deploying the system in a real environment. Having a gateway-centric architecture, RESFIT ensures minimal resource consumption at the device layer and good response time in detecting malfunctions or malicious actions.…”

Section: Introductionmentioning

confidence: 99%

RESFIT: A Reputation and Security Monitoring Platform for IoT Applications

et al. 2021

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The fast-paced adoption of smart devices has changed the Internet of Things (IoT) landscape, leading to the growth of smart environments and inclusion in many aspects of our society. In IoT applications, data collected from sensors and mobile devices are aggregated, processed, and analyzed to extract useful information and develop intelligent services. If the collected data is not trustworthy due to the damage or malicious input of some sensors, the quality of the service will be impacted. For reliable data collection and mining, it is mandatory to define robust security and trust models, suitable for the IoT application context. In this paper, we propose RESFIT, a platform that implements a reputation-based trust mechanism and an advanced application level firewall to cope with the above mentioned issues. Having a gateway-centric architecture, the proposed platform ensures minimal resource consumption at the node layer, and an integrated overview and control of the system state, through the cloud component and smartphone management application.

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Security-Oriented Framework for Internet of Things Smart-Home Applications

Cited by 10 publications

References 11 publications

Key Management Protocol for Heterogeneous Sensor Networks Based on Zero Trust Security and Chaotic Neural Networks

Key Management Protocol for Heterogeneous Sensor Networks Based on Zero Trust Security and Chaotic Neural Networks

A Key Management Protocol for Heterogeneous Sensor Networks Based on Zero Trust Security and Chaotic Neural Networks

RESFIT: A Reputation and Security Monitoring Platform for IoT Applications

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