Validation of an Adaptive Risk-based Access Control Model for the Internet of Things

Atlam, Hany F.; Alenezi, Ahmed; Hussein, Raid Khalid; Wills, Gary

doi:10.5815/ijcnis.2018.01.04

Cited by 37 publications

(22 citation statements)

References 31 publications

(46 reference statements)

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“…As a result, the blockchain will open a series of IoT scenarios that were difficult, or even impossible to implement without it. For example, by leveraging the blockchain, IoT solutions can enable secure, trustless messaging between devices in an IoT network [27]. In this model, the blockchain will treat message exchanges between devices similar to financial transactions in a bitcoin network.…”

Section: Blockchain With Iotmentioning

confidence: 99%

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Blockchain with Internet of Things: Benefits, Challenges, and Future Directions

Atlam¹,

Alenezi²,

Alassafi³

et al. 2018

IJISA

Self Cite

261

118

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The Internet of Things (IoT) has extended the internet connectivity to reach not just computers and humans, but most of our environment things. The IoT has the potential to connect billions of objects simultaneously which has the impact of improving information sharing needs that result in improving our life. Although the IoT benefits are unlimited, there are many challenges facing adopting the IoT in the real world due to its centralized server/client model. For instance, scalability and security issues that arise due to the excessive numbers of IoT objects in the network. The server/client model requires all devices to be connected and authenticated through the server, which creates a single point of failure. Therefore, moving the IoT system into the decentralized path may be the right decision. One of the popular decentralization systems is blockchain. The Blockchain is a powerful technology that decentralizes computation and management processes which can solve many of IoT issues, especially security. This paper provides an overview of the integration of the blockchain with the IoT with highlighting the integration benefits and challenges. The future research directions of blockchain with IoT are also discussed. We conclude that the combination of blockchain and IoT can provide a powerful approach which can significantly pave the way for new business models and distributed applications.

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Section: Blockchain With Iotmentioning

confidence: 99%

“…The processing power and time needed to achieve encryption for all the objects included in a blockchain system. IoT systems have different types of devices which have very different computing capabilities, and not all of them will be able to run the same encryption algorithms at the required speed [14,27]. 3.…”

Section: Processing Power and Timementioning

confidence: 99%

Blockchain with Internet of Things: Benefits, Challenges, and Future Directions

Atlam¹,

Alenezi²,

Alassafi³

et al. 2018

IJISA

Self Cite

261

118

View full text Add to dashboard Cite

show abstract

“…This model uses user attributes related to the surrounding environment such as time and location, sensitivity of data to be accessed by the user, severity of actions that will be performed by the user and user risk history as inputs for the risk estimation algorithm to measure the risk value related to each access request to determine the access decision, as shown in Figure 2. In addition, the proposed model provides an efficient solution for many unexpected circumstances which need policy violations by incorporating real-time information to determine the access [24,25]. Estimating the security risk is a complex operation which needs considering several factors [14].…”

Section: Proposed Risk Estimation Techniquementioning

confidence: 99%

An efficient security risk estimation technique for Risk-based access control model for IoT

Atlam

Wills

2019

Internet of Things

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The need to increase information sharing in the Internet of Things (IoT) applications made the risk-based access control model to be the best candidate for both academic and commercial organizations. Risk-based access control model carries out a security risk analysis on the access request by using IoT contextual information to provide access decisions dynamically. Unlike current static access control approaches that are based on predefined policies and give the same result in different situations, this model provides the required flexibility to access system resources and works well in unexpected conditions and situations of the IoT system. One of the main issues to implement this model is to determine the appropriate risk estimation technique that is able to generate accurate and realistic risk values for each access request to determine the access decision. Therefore, this paper proposes a risk estimation technique which integrates the fuzzy inference system with expert judgment to assess security risks of access control operations in the IoT system. Twenty IoT security experts from inside and outside the UK were interviewed to validate the proposed risk estimation technique and build the fuzzy inference rules accurately. The proposed risk estimation approach was implemented and simulated using access control scenarios of the network router. In comparison with the existing fuzzy techniques, the proposed technique has demonstrated it produces precise and realistic values in evaluating security risks of access control operations in the IoT context.

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“…The IoT is considered an emerging paradigm which consists of billions of uniquely addressable objects communicating with one another to form a global dynamic network [1]. It represents a promising future technology that shows some common characteristics as follows:…”

Section: Essential Characteristics Of Iotmentioning

confidence: 99%

“…It has the ability to connect and communicate worldwide virtual and physical objects through either wired or wireless networks. It is expected that by 2020, there will be more than 50 billion IoT objects [1].…”

Section: Introductionmentioning

confidence: 99%

Intelligence of Things: Opportunities & Challenges

Atlam

Walters

Wills

2018

2018 3rd Cloudification of the Internet of Things (CIoT)

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The Internet of Things (IoT) is a promising technology that can connect and communicate virtual and physical objects globally. It allows billions of devices to be connected and communicate with each other to share information that creates new application and services. These services result in improving our quality of life. On the other hand, Artificial Intelligence (AI) is applied in many fields of science. It aims to understand techniques that require an intelligent action and solve complex problems. Integrating IoT with AI will create a powerful technology that can solve many of IoT problems that relate to the huge amount of data created by different IoT devices. With the huge analytic capabilities of AI, IoT data can be analysed efficiently to extract meaningful information. In addition, AI can help IoT devices to interact with humans and other objects intelligently and make autonomous decisions. This paper provides an overview of the integration of the IoT with AI by highlighting the integration benefits and opportunities of AI in different IoT applications. Challenges standing in the way of successful convergence of IoT with AI are also discussed. We can conclude that the integration of AI with IoT will generate a robust technology that can help companies to avoid unplanned downtime, increase operating efficiency, and enable new IoT applications and services.

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Validation of an Adaptive Risk-based Access Control Model for the Internet of Things

Cited by 37 publications

References 31 publications

Blockchain with Internet of Things: Benefits, Challenges, and Future Directions

Blockchain with Internet of Things: Benefits, Challenges, and Future Directions

An efficient security risk estimation technique for Risk-based access control model for IoT

Intelligence of Things: Opportunities & Challenges

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