MDPAS: Markov Decision Process Based Adaptive Security for Sensors in Internet of Things

Wang, Eric Ke; Chen, Chien‐Ming; Ye, Yuming; Zhang, Zhujin; Zou, Futai

doi:10.1007/978-3-319-12286-1_40

Cited by 7 publications

(2 citation statements)

References 8 publications

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“…The contribution in [128] consists of a framework called MDPAS based on Markovien Decision Process and aspect-oriented programming paradigm. The goal of this solution is to enable adaptive security solution that groups integrity, confidentiality and authenticity while making adequate decisions dynamically about the enforcement of security policies based on computing and energy contexts.…”

Section: Context-awareness and Security In Iotmentioning

confidence: 99%

Internet of things security: A top-down survey

2018

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Internet of Things (IoT) is one of the promising technologies that has attracted a lot of attention in both industrial and academic fields these years. It aims to integrate seamlessly both physical and digital worlds in one single ecosystem that makes up a new intelligent era of Internet. This technology offers a huge business value for organizations and provides opportunities for many existing applications such as energy, healthcare and other sectors. However, as new emergent technology, IoT suffers from several security issues which are most challenging than those from other fields regarding its complex environment and resources-constrained IoT devices. A lot of researches have been initiated in order to provide efficient security solutions in IoT, particularly to address resources constraints and scalability issues. Furthermore, some technologies related to networking and cryptocurrency fields such as Software Defined Networking (SDN) and Blockchain are revolutionizing the world of the Internet of Things thanks to their efficiency and scalability. In this paper, we provide a comprehensive top down survey of the most recent proposed security and privacy solutions in IoT. We discuss particularly the benefits that new approaches such as blockchain and Software Defined Networking can bring to the security and the privacy in IoT in terms of flexibility and scalability. Finally, we give a general classification of existing solutions and comparison based on important parameters.

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Section: Context-awareness and Security In Iotmentioning

confidence: 99%

Internet of things security: A top-down survey

2018

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“…This could provide an environment to look for general and standardized security decisions that suit the high demand of dynamic IoT applications and smart devices. There were numerous research studies and research lately on adaptive security in the field of IoT [2][3][4]. We intend to achieve this goal by doing a comprehensive survey on available adaptive security measures in the IoT world, additionally we will try to explore the existing application or internet security domain and try to see if some of these security practices can fit into the IoT space.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Securing IoT Ecosystems and Adaptive Network Vision

Goli¹,

Kim²

2021

IJNDC

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The rapid growth of Internet-of-Things (IoT) devices and the large network of interconnected devices pose new security challenges and privacy threats that would put those devices at high risk and cause harm to the affiliated users. This paper emphasizes such potential security challenges and proposes possible solutions in the field of IoT Security, mostly focusing on automated or adaptive networks. Considering the fact that IoT became widely adopted, the intricacies in the security field tend to grow expeditiously. Therefore, it is necessary for businesses to adopt new security protocols and to the notion of automated network security practices driven by analytic and intelligence, to ensure a prompt response to attacks there by protecting the privacy and data integrity of users. The main prospect of this paper is to highlight some extensive reviews on standardizing security solutions by means of adaptive networks, a programmable environment that is driven by analytical and intelligence which expands on the autonomous networking concepts and transforms static networks into a dynamic environment. Furthermore, this paper also inspects some of the Machine Learning techniques that can be used to enhance security and compares different techniques to find the best fit to IoT.

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A Survey on Internet-of-Things Security: Threats and Emerging Countermeasures

Swessi

Idoudi

2022

Wireless Pers Commun

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MDPAS: Markov Decision Process Based Adaptive Security for Sensors in Internet of Things

Cited by 7 publications

References 8 publications

Internet of things security: A top-down survey

Internet of things security: A top-down survey

A Survey on Securing IoT Ecosystems and Adaptive Network Vision

A Survey on Internet-of-Things Security: Threats and Emerging Countermeasures

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