A Mobile Agent-Based Technique for Medical Monitoring (Supports of Patients with Diabetes)

Chaouch, Zineb; Tamali, Mohammed

doi:10.4018/ijcmam.2014010102

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…TOOLS USED To use of mobile agent's techniques, the system must have a mobility framework for all of the agent modes, including the navigation model. For the lifecycle model, we need services to create, destroy, start, suspend, and stop, etc., agents [25]. JADE (Java Agent Development Environment) [26], [27] is a software Framework to be run under Java Environment with a flexible infrastructure.…”

Section: Discussionmentioning

confidence: 99%

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Dashboard of intelligent transportation system (ITS) using mobile agents strategy on notification authentication process

Allali¹,

Chaouch²,

Tamali³

2019

IJECE

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<p>Extracting accurate information from huge Transportation Database need to build efficiency Intelligent Transportation Systems ITS-Dashboard that should allow making correct decisions. The quality of decision and the achievement of performance depend on the quality of the information supplied. This information must be reliable, complete, pertinent and more to care about external attacks. Distributed Mobile Agent consists of autonomy of entities with capacities of perception, cooperation and action on their own environment. One of Agent function is the security of Authentication process by activation of notification system on Mobile Device. The main purpose of this paper is to make it consisting of an Agent Based Framework. The strategy is to exploit Mobile Agent capabilities in a Strict Notification Process when user validates his authentication request.</p>

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Section: Discussionmentioning

confidence: 99%

“…The layered architecture is geared towards optimizing communication performance between agents in MAS [30]. The chosen platform for design and implementation is the JADE-LEAP [25], [31] framework because it enables developing agents on mobile device.…”

Section: Discussionmentioning

confidence: 99%

Dashboard of intelligent transportation system (ITS) using mobile agents strategy on notification authentication process

Allali¹,

Chaouch²,

Tamali³

2019

IJECE

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“…The idea of interconnecting physicians with patients anywhere, anytime, and over heterogeneous devices was proposed by Bouchemal et al [ 9 ]. The system was implemented over the Java Agent development environment with Light weight extensible Agent platform—JADE-LEAP platform and deployed the Ubiquitous Mobile Agent (UMA), the Device Agents (DevA), and the Patient Agents (PatA) through the cloud, in order to alert the physician or to receive health status information on its behalf.…”

Section: Methodsmentioning

confidence: 99%

An Efficient Agent Based Data Management Method of NoSQL Environments for Health Care Applications

Kotsilieris¹

2021

Healthcare

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Background: As medical knowledge is continuously expanding and diversely located, Health Information Technology (HIT) applications are proposed as a good prospect for improving not only the efficiency and the effectiveness but also the quality of healthcare services delivery. The technologies expected to shape such innovative HIT architectures include: Mobile agents (Mas) and NoSQL technologies. Mobile agents provide an inherent way of tackling distributed problems of accessing heterogeneous and spatially diverse data sources. NoSQL technology gains ground for the development of scalable applications with non-static and open data schema from complex and diverse sources. Methods and Design: This paper conducts a twofold study: It attempts a literature review of the applications based on the mobile agent (MA) and NoSQL technologies for healthcare support services. Subsequently, a pilot system evaluates the NoSQL technology against the relational one within a distributed environment based on mobile agents for information retrieval. Its objective is to study the feasibility of developing systems that will employ ontological data representation and task implementation through mobile agents towards flexible and transparent health data monitoring. Results and Discussion: The articles studied focus on applying mobile agents for patient support and healthcare services provision thus as to make a positive contribution to the treatment of chronic diseases. In addition, attention is put on the design of platform neutral techniques for clinical data gathering and dissemination over NoSQL. The experimental environment was based on the Apache Jena Fuseki NoSQL server and the JAVA Agent DEvelopment Framework -JADE agent platform. The results reveal that the NoSQL implementation outperforms the standard relational one.

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“…Chaouch et al [20] analyzed mobile agent-based structures DiabMAS (Diabetes Multi-Agent System) for the remote clinical assessment of diabetic patients. The argument for deploying mobile agents is to reduce traffic by assigning agents to locations where activities can be completed and message transmissions are closed, thus reducing network stress.…”

mentioning

confidence: 99%

Verifiable, Secure Mobile Agent Migration in Healthcare Systems Using a Polynomial-Based Threshold Secret Sharing Scheme with a Blowfish Algorithm

Kumar

Banerjee²,

Singhal³

et al. 2022

Sensors

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A mobile agent is a software application that moves naturally among hosts in a uniform and non-uniform environment; it starts with one host and then moves onto the next in order to divide data between clients. The mobile paradigm is utilized in a wide assortment of medical care applications such as the medical information of a patient, the recovery of clinical information, the incorporation of information pertaining to their wellbeing , dynamic help, telemedicine, obtaining clinical data, patient administration, and so on. The accompanying security issues have grown in tandem with the complexity and improvements in mobile agent technologies. As mobile agents work in an insecure environment, their security is a top priority when communicating and exchanging data and information. Data integrity, data confidentiality and authentication, on-repudiation, denial of service, and access control, are all key security concerns with mobile agent migration. This paper proposes a Verifiable, Secure Mobile Agent Migration model, based on two polynomials (t, n), and an edge secret imparting plan with Blowfish encryption, to enable secure information transmission in clinical medical care.

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A Mobile Agent-Based Technique for Medical Monitoring (Supports of Patients with Diabetes)

Cited by 5 publications

References 4 publications

Dashboard of intelligent transportation system (ITS) using mobile agents strategy on notification authentication process

Dashboard of intelligent transportation system (ITS) using mobile agents strategy on notification authentication process

An Efficient Agent Based Data Management Method of NoSQL Environments for Health Care Applications

Verifiable, Secure Mobile Agent Migration in Healthcare Systems Using a Polynomial-Based Threshold Secret Sharing Scheme with a Blowfish Algorithm

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