Multi-Agent based Framework for Secure and Reliable Communication among Open Clouds

Mehmood, Amjad; Song, Houbing; Lloret, Jaime

doi:10.5296/npa.v6i4.6028

Cited by 19 publications

(13 citation statements)

References 17 publications

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“…The sparse distribution of vehicles and the dynamic nature of density of vehicles in the network environment are unavoidable. CC-V requires real-time communication decision in safety applications which is quite challenging considering the delay issue in network access [65][66][67][68]. VIII.…”

Section: Future Research Challengesmentioning

confidence: 99%

Cloud Computing in VANETs: Architecture, Taxonomy, and Challenges

Aliyu

Abdullah

Kaiwartya

et al. 2017

IETE Technical Review

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Cloud Computing in VANETs (CC-V) has been investigated into two major themes of research including Vehicular Cloud Computing (VCC) and Vehicle using Cloud (VuC). VCC is the realization of autonomous cloud among vehicles to share their abundant resources. VuC is the efficient usage of conventional cloud by on-road vehicles via a reliable Internet connection. Recently, number of advancements have been made to address the issues and challenges in VCC and VuC. This paper qualitatively reviews CC-V with the emphasis on layered architecture, network component, taxonomy, and future challenges. Specifically, a four-layered architecture for CC-V is proposed including perception, co-ordination, artificial intelligence and smart application layers. Three network component of CC-V namely, vehicle, connection and computation are explored with their cooperative roles. A taxonomy for CC-V is presented considering major themes of research in the area including design of architecture, data dissemination, security, and applications. Related literature on each theme are critically investigated with comparative assessment of recent advances. Finally, some open research challenges are identified as future issues. The challenges are the outcome of the critical and qualitative assessment of literature on CC-V.

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Section: Future Research Challengesmentioning

confidence: 99%

Cloud Computing in VANETs: Architecture, Taxonomy, and Challenges

Aliyu

Abdullah

Kaiwartya

et al. 2017

IETE Technical Review

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“…Authors, by adopting Novel and mixed agent based techniques, introduced agent based security and privacy assurance framework which used cryptographic techniques against security threats like Denial of Service (DOS) [7]. To secure open Cloud networks, [8] introduced multi-agent based framework for reliable communication between open Clouds. The test results show that performance enhanced after the implementation of agent.…”

Section: Introductionmentioning

confidence: 99%

Agent Based Information Security Framework for Hybrid Cloud Computing

2019

KSII TIIS

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In general, an information security approach estimates the risk, where the risk is to occur due to an unusual event, and the associated consequences for cloud organization. Information Security and Risk Management (ISRA) practices vary among cloud organizations and disciplines. There are several approaches to compare existing risk management methods for cloud organizations but their scope is limited considering stereo type criteria, rather than developing an agent based task that considers all aspects of the associated risk. It is the lack of considering all existing renowned risk management frameworks, their proper comparison, and agent techniques that motivates this research. This paper proposes Agent Based Information Security Framework for Hybrid Cloud Computing as an all-inclusive method including cloud related methods to review and compare existing different renowned methods for cloud computing risk issues and by adding new tasks from surveyed methods. The concepts of software agent and intelligent agent have been introduced that fetch/collect accurate information used in framework and to develop a decision system that facilitates the organization to take decision against threat agent on the basis of information provided by the security agents. The scope of this research primarily considers risk assessment methods that focus on assets, potential threats, vulnerabilities and their associated measures to calculate consequences. After in-depth comparison of renowned ISRA methods with ABISF, we have found that ISO/IEC 27005:2011 is the most appropriate approach among existing ISRA methods. The proposed framework was implemented using fuzzy inference system based upon fuzzy set theory, and MATLAB® fuzzy logic rules were used to test the framework. The fuzzy results confirm that proposed framework could be used for information security in cloud computing environment.

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“…Furthermore, a multi-objective optimization was a set of Pareto optimal solutions which could be obtained in an optimizing process, and was consistent with an actual scheduling problem. Through the review of the previously known work, the algorithms frequently used to solve FJSP are the artificial intelligence algorithm and its improved algorithms, mainly including: (1) genetic algorithm (GA) and its improved algorithms [23–28], such as the MOGA [29], NPGA [30], NSGA and NSGA-II [31–32] and so on; (2) particle swarm optimization algorithm (PSO) and its improved algorithms [33]. Among them, the NSGA-II algorithm was widely used due to its numerous advantages.…”

Section: Introductionmentioning

confidence: 99%

Bi-Objective Flexible Job-Shop Scheduling Problem Considering Energy Consumption under Stochastic Processing Times

et al. 2016

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This paper presents a novel method on the optimization of bi-objective Flexible Job-shop Scheduling Problem (FJSP) under stochastic processing times. The robust counterpart model and the Non-dominated Sorting Genetic Algorithm II (NSGA-II) are used to solve the bi-objective FJSP with consideration of the completion time and the total energy consumption under stochastic processing times. The case study on GM Corporation verifies that the NSGA-II used in this paper is effective and has advantages to solve the proposed model comparing with HPSO and PSO+SA. The idea and method of the paper can be generalized widely in the manufacturing industry, because it can reduce the energy consumption of the energy-intensive manufacturing enterprise with less investment when the new approach is applied in existing systems.

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Multi-Agent based Framework for Secure and Reliable Communication among Open Clouds

Cited by 19 publications

References 17 publications

Cloud Computing in VANETs: Architecture, Taxonomy, and Challenges

Cloud Computing in VANETs: Architecture, Taxonomy, and Challenges

Agent Based Information Security Framework for Hybrid Cloud Computing

Bi-Objective Flexible Job-Shop Scheduling Problem Considering Energy Consumption under Stochastic Processing Times

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