A Multi-Agent Approach for the Deployment of Distributed Applications in Smart Environments

Piette, Ferdinand; Caval, Costin; Dinont, Cédric; Seghrouchni, Amal El Fallah; Taillibert, Patrick

doi:10.1007/978-3-319-48829-5_4

Cited by 7 publications

(4 citation statements)

References 21 publications

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“…They offer a new ECC-BROSMAP which is equivalent in security with the RSA-BROSMAP and implement both RSA-BROSMAP and ECC-BROSMAP before presenting a comparative performance study and implementation results of ECC-BROSMAP against RSA-BROSMAP. Authors in [22] illustrate the use of mobile agent systems in distributed applications in the domain of Ambient Intelligence. They focus on the ability to improve privacy by hiding information using the agent architecture.…”

Section: Related Workmentioning

confidence: 99%

Towards a New Model to Secure IoT-based Smart Home Mobile Agents using Blockchain Technology

Sabir¹,

Youssfi

Bouattane

et al. 2020

Eng. Technol. Appl. Sci. Res.

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The Internet of Things (IoT) is becoming an indispensable part of the actual Internet and continues to extend deeper into the daily lives of people, offering distributed and critical services. Mobile agents are widely used in the context of IoT and due to the possibility of transmitting their execution status from one device to another in an IoT network, they offer many advantages such as reducing network load, encapsulating protocols, exceeding network latency, etc. Also, Blockchain Technology is growing rapidly allowing for the addition of an approved security layer in many areas. Security issues related to mobile agent migration can be resolved with the use of Blockchain. This paper aims to demonstrate how Blockchain Technology can be used to secure mobile agents in the context of the IoT using Ethereum and a Smart Contract. The transactions within the Blockchain are used to detect the malevolent mobile agents that could infiltrate the IoT systems. The proposed model aims to provide a secure migration of mobile agents to ensure security and protect the IoT applications against malevolent agents. The case of a smart home with multiple applications is applied to verify the proposed solution. The model presented in this paper could be extended to a wider selection of IoT systems outside of the smart home.

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Section: Related Workmentioning

confidence: 99%

Towards a New Model to Secure IoT-based Smart Home Mobile Agents using Blockchain Technology

Sabir¹,

Youssfi

Bouattane

et al. 2020

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

show abstract

“…For example, Piette and Al. [25] proposed to use multi-agent approach for the deployment of services in a smart environment. On this topic, they affirmed "In real systems, privacy, autonomy, robustness and scalability are essential.…”

Section: Objectmentioning

confidence: 99%

Ubiquitous Computing and Multi-agent Systems: Clarification of the Lexicon

Aky

Payet

Giroux

et al. 2019

PRIMA 2019: Principles and Practice of Multi-Agent Systems

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Ambient computing and Internet of Things have reached a level of maturity and a dynamic activity of research and engineering actors. Their goal is to create interactions between a set of distributed devices in an environment, in order to assist human activities. Multiagent system is an interesting tool for coordinating devices and services for this purpose, because of its adaptation, autonomy and decentralized specifications. However, it is sometimes difficult to understand and share the same idea when it comes to terms such as "Ubiquitous Computing," "Ambient Computing" or the "Internet of Things." As a result, it can be really difficult to browse the literature through research engines and to make a bibliographical study without missing important papers. That is why we want to address this first problem by means of a glossary proposal, synthesizing and unifying the extensively cited definitions of the lexicon belonging to these domains. After this necessary step of clarification, we present usability and interest of multi-agent approach in the service of ubiquitous computing.

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“…MAS are being used in various domains to better comprehend and analyze the strengths, weaknesses, and needs of human users. Some relevant studies in this regard include [14][15][16][17][18][19][20][21] that demonstrate applications of MAS in car tracking, deployment of distributed applications, land usage and land covering analysis, and serious games development regarding health, environment, and water management.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Trust‐Based Situation Awareness: Comparative Analysis of Agent‐Based and Population‐Based Modeling

Nasar

Jaffry

2018

Complexity

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In recent years, to comprehend and analyze complex systems, multiagent systems modeling and simulation are being widely used across various disciplines. Two major approaches used for multiagent systems modeling and simulation are agent-based modeling (ABM) and population-based modeling (PBM). In multiagent community, it is a silent assumption that both approaches represent similar dynamics for large population size. One of the recent studies from literature has reported similar results for a model of situation awareness spread in multiagent systems. Trust is a significant factor that affects agents’ communication, and consequently it controls spread of situation awareness among agents in a multiagent system. Hence, current work firstly extends the reported model of situation awareness spread from literature, to incorporate interagent trust for both ABM and PBM. Later, these extended models are used for comparative evaluation of both approaches. Various simulation experiments for different population sizes (small and large) as well as population types (homogenous and heterogeneous) are conducted and analyzed. Results of these experiments show that for large and homogeneous population, ABM approximates behavior of PBM, but for even slightly heterogeneous population, these approaches do not produce similar results irrespective of population sizes. Thus, the current study reports that, under some conditions, ABM and PBM produce similar results for trust-based situation awareness spread in multiagent systems, but this assumption does not hold true at large.

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A Multi-Agent Approach for the Deployment of Distributed Applications in Smart Environments

Cited by 7 publications

References 21 publications

Towards a New Model to Secure IoT-based Smart Home Mobile Agents using Blockchain Technology

Towards a New Model to Secure IoT-based Smart Home Mobile Agents using Blockchain Technology

Ubiquitous Computing and Multi-agent Systems: Clarification of the Lexicon

Trust‐Based Situation Awareness: Comparative Analysis of Agent‐Based and Population‐Based Modeling

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