A Guiding Framework for Vetting the Internet of Things

Masmoudi, Fatma; Maamar, Zakaria; Sellami, Mohamed; Awad, Ali Ismail; Burégio, Vanilson Arruda

doi:10.1016/j.jisa.2020.102644

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…The research agenda would focus on two issues, the first one would be related to vetting the IoT prior to deployment on specific network layer (e.g. fog or cloud), as per the recommendations given in (Masmoudi et. al., 2020), and the second one to securing communications between things, fog and cloud including secure offloading.…”

Section: Discussionmentioning

confidence: 99%

B2S4B: A Platform for Smart City Business Processes Management and Adaptation

UGLJANIN¹,

STOJANOVIĆ²,

KAJAN³

et al. 2022

STUD INFORM CONTROL

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This paper deals with the design and development of the B2S4B platform that bridges Smart City ecosystems (the business world) and city sensors: the IoT and citizens (the IoT and the social worlds). This platform allows the reconfiguration of Smart City business processes (BPs) based on the detected events and knowledge derived over time. In support of this, the concept of Smart City Observers (SCO) was introduced which acts as a man-in-a-middle between BPs, and the IoT and the social worlds by defining what should be monitored and how the respective observations could impact these worlds. In its turn, B2S4B analyses the detected events from all active SCOs and based on the predefined knowledge allows the synchronized reconfiguration of a BP and of the city sensors that feed the SCOs with accurate information. This paper proposes an approach for manual and automatic adaptation of Smart City BPs based on events reported by SCOs. In order to demonstrate the usability and effectiveness of the proposed approach this paper illustrates how this platform could be used in a case study on Smart City traffic control.

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Section: Discussionmentioning

confidence: 99%

B2S4B: A Platform for Smart City Business Processes Management and Adaptation

UGLJANIN¹,

STOJANOVIĆ²,

KAJAN³

et al. 2022

STUD INFORM CONTROL

Self Cite

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“…Controlling things that enter and exit †† the thingsourcing platform falls into what we refer to as vetting process. More details about this process are given in Reference 35. On top of the vetting, when residing in the thingsourcing platform, some potential relations could be identified between things allowing them to be aware of their peers from three perspectives: recommendation is associated with complementarity relation, opposition is associated with antagonist relation, and exclusion is associated with competition relation.…”

Section: Semantic Thingsourcingmentioning

confidence: 99%

Semantic thingsourcing for the Internet of Things

Maamar

Faci

Elnaffar

et al. 2021

Concurrency and Computation

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In the context of Internet of Things, thingsourcing is poised to promote the collective behavior that should prevail among things despite their independent nature being confined into silos. By analogy with crowdsourcing where crowds of (sometimes anonymous) people are contacted for their expertise, thingsourcing abstracts crowds of things and provides the necessary mechanisms for composing things together so they collectively satisfy users' demands. However, to ensure successful discovery of things according to these demands' requirements, an ontology-based semantic description of things is deemed necessary. This article presents an approach for enriching things' descriptions semantically in preparation for their composition with respect to specific scripts that define who will do what, when, and where. A system demonstrating semantic thingsourcing along with a case study about dairy supply-chain is presented in this article as well.

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AdStop: Efficient flow-based mobile adware detection using machine learning

Alani

Awad

2022

Computers & Security

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A Guiding Framework for Vetting the Internet of Things

Cited by 4 publications

References 13 publications

B2S4B: A Platform for Smart City Business Processes Management and Adaptation

B2S4B: A Platform for Smart City Business Processes Management and Adaptation

Semantic thingsourcing for the Internet of Things

AdStop: Efficient flow-based mobile adware detection using machine learning

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