A Survey on Access Control in the Age of Internet of Things

Qiu, Jing; Tian, Zhihong; Du, Chunlai; Zuo, Qi; Su, Shen; Fang, Binxing

doi:10.1109/jiot.2020.2969326

Cited by 332 publications

(160 citation statements)

References 101 publications

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“…is network is used mainly to strengthen authentication services in IoTs and protect data [35,36]. It utilizes blockchain's end-to-end zero-knowledge proof for verification and consensus, to defend against network layer attacks and malicious tampering.…”

Section: A Network (Access Control Network)mentioning

confidence: 99%

A Novel Classified Ledger Framework for Data Flow Protection in AIoT Networks

Dong-Hoon

et al. 2021

Security and Communication Networks

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The edge computing node plays an important role in the evolution of the artificial intelligence-empowered Internet of things (AIoTs) that converge sensing, communication, and computing to enhance wireless ubiquitous connectivity, data acquisition, and analysis capabilities. With full connectivity, the issue of data security in the new cloud-edge-terminal network hierarchy of AIoTs comes to the fore, for which blockchain technology is considered as a potential solution. Nevertheless, existing schemes cannot be applied to the resource-constrained and heterogeneous IoTs. In this paper, we consider the blockchain design for the AIoTs and propose a novel classified ledger framework based on lightweight blockchain (CLF-LB) that separates and stores data rights at the source and enables a thorough data flow protection in the open and heterogeneous network environment of AIoT. In particular, CLF-LB divides the network into five functional layers for optimal adaptation to AIoTs applications, wherein an intelligent collaboration mechanism is also proposed to enhance the across-layer operation. Unlike traditional full-function blockchain models, our framework includes novel technical modules, such as block regenesis, iterative reinforcement of proof-of-work, and efficient chain uploading via the system-on-chip system, which are carefully designed to fit the cloud-edge-terminal hierarchy in AIoTs networks. Comprehensive experimental results are provided to validate the advantages of the proposed CLF-LB, showing its potentials to address the secrecy issues of data storage and sharing in AIoTs networks.

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Section: A Network (Access Control Network)mentioning

confidence: 99%

A Novel Classified Ledger Framework for Data Flow Protection in AIoT Networks

Dong-Hoon

et al. 2021

Security and Communication Networks

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“…Moreover, sandboxing and virtualization technologies can be used to deploy guest tasks in controlled environments to prevent native and in-native users from attacks [51]. In IoT search [52], access control mechanisms are discussed, where the characteristic of IoT search such as dynamic environment and massive data are highlighted.…”

Section: Related Workmentioning

confidence: 99%

ProTrust: A Probabilistic Trust Framework for Volunteer Cloud Computing

et al. 2020

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With the exponential growth of large data produced by IoT applications and the need for lowcost computational resources, new paradigms such as volunteer cloud computing (VCC) have recently been introduced. In VCC, volunteers do not disclose resource information before joining the system. This leads to uncertainties about the level of trust in the system. The majority of available trust models are suitable for peer-to-peer (P2P) systems, which rely on direct and indirect interaction, and might cause memory consumption overhead concerns in large systems. To address this problem, this paper introduces ProTrust, a probabilistic framework that defines the trust of a host in VCC. We expand the concept of trust in VCC and develop two new metrics: (1) trustworthiness based on the priority of a task, named loyalty, and (2) trustworthiness affected by behavioral change. We first utilized a modified Beta distribution function, and the behavior of resources are classified into different loyalty levels. Then, we present a behavior detection method to reflect recent changes in behavior. We evaluated ProTrust experimentally with a real workload trace and observed that the framework's estimation of the trust score improved by approximately 15% and its memory consumption decreased by more than 65% compared to existing methods.

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“…Although it is flexible, complex and dynamic network infrastructure as given in [19]. In many fields such as healthcare, smart homes, smart cities, retail, traffic, security, and agriculture, IoT offers multiple solutions [20]. With the help of an IoT we can monitor the elements such as wind, crops, soil, atmosphere, lights and water over a big area [21].…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

A Simulation Based Proactive Approach for Smart Capacity Estimation in the Context of Dynamic Positions and Events

Nawaz¹,

Malik²,

Alshaor³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Technologies are growing with the passage of time and providing solutions for the existing problems. One of such problems is to manage the crowd according to available capacity. Especially when the crowd density is dynamic because of dynamic position of the persons (Pilgrims). Not only dynamic position of the pilgrims makes crowd capacity dynamic but also special events increase and decrease in number of pilgrims that affect the capacity in a specific place. Therefore, it is not an easy job to estimate the available capacity according to the dynamic position and event. To overcome such problems of dynamic position and event-based crowd management different techniques and approaches are adopted. To solve the above-mentioned problem, this paper proposes a proactive approach to estimate the space occupy by the pilgrims in different positions in a zone or level. Maximum capacity in each zone and level is define on the basis of each position. On the basis of maximum and occupy capacities, available (remaining) capacity has been estimated in a zone and level according to the events such as Pilgrimage, Ramadan, Jummah etc. The occupied and available capacities in a zone, level or in the whole building can be estimated with the help of technologies such as Wireless Sensor Network (WSN), cloud computing, Internet of Things (IoT) and sensor topologies according to position and event. Simulation shows different scenarios according to the zones and different levels of building to prove the proactive approach. According to the results, it is concluded that zones, levels and point of entrances should be allocated to the pilgrims to avoid the congestion problems. Further for massive crowd and large area multi sink solution is better than single sink solution to estimate available capacity.

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A Survey on Access Control in the Age of Internet of Things

Cited by 332 publications

References 101 publications

A Novel Classified Ledger Framework for Data Flow Protection in AIoT Networks

A Novel Classified Ledger Framework for Data Flow Protection in AIoT Networks

ProTrust: A Probabilistic Trust Framework for Volunteer Cloud Computing

A Simulation Based Proactive Approach for Smart Capacity Estimation in the Context of Dynamic Positions and Events

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