Survey of agent-based cloud computing applications

Prieta, Fernando De la; González, Sara Rodríguez; Chamoso, Pablo; Corchado, Juan M.; Bajo, Javier

doi:10.1016/j.future.2019.04.037

Cited by 54 publications

(25 citation statements)

References 57 publications

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“…Agent technologies constitute the typical option for modeling ambient intelligent systems that exchange information with the environment and user [38,39]. Intelligent agents inspect the surrounding setting and react to upcoming events at normal operation.…”

Section: Management Platfroms and Reasoning Systemsmentioning

confidence: 99%

SPD-Safe: Secure Administration of Railway Intelligent Transportation Systems

Hatzivasilis

Fysarakis²,

Ioannidis

et al. 2021

Electronics

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The railway transport system is critical infrastructure that is exposed to numerous man-made and natural threats, thus protecting this physical asset is imperative. Cyber security, privacy, and dependability (SPD) are also important, as the railway operation relies on cyber-physical systems (CPS) systems. This work presents SPD-Safe—an administration framework for railway CPS, leveraging artificial intelligence for monitoring and managing the system in real-time. The network layer protections integrated provide the core security properties of confidentiality, integrity, and authentication, along with energy-aware secure routing and authorization. The effectiveness in mitigating attacks and the efficiency under normal operation are assessed through simulations with the average delay in real equipment being 0.2–0.6 s. SPD metrics are incorporated together with safety semantics for the application environment. Considering an intelligent transportation scenario, SPD-Safe is deployed on railway critical infrastructure, safeguarding one outdoor setting on the railway’s tracks and one in-carriage setting on a freight train that contains dangerous cargo. As demonstrated, SPD-Safe provides higher security and scalability, while enhancing safety response procedures. Nonetheless, emergence response operations require a seamless interoperation of the railway system with emergency authorities’ equipment (e.g., drones). Therefore, a secure integration with external systems is considered as future work.

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Section: Management Platfroms and Reasoning Systemsmentioning

confidence: 99%

SPD-Safe: Secure Administration of Railway Intelligent Transportation Systems

Hatzivasilis

Fysarakis²,

Ioannidis

et al. 2021

Electronics

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“…In general, 5 main actors are focused on in cloud computing. These are Cloud Consumer, Cloud Provider, Cloud Auditor, Cloud Broker and Cloud Carrier [11].…”

Section: Cloud Computing Actorsmentioning

confidence: 99%

Investigation of Cloud Computing Based Big Data on Machine Learning Algorithms.

Yıldırım

Çınar

Cengil

2021

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

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Cloud computing technology is a model that allows access to a common pool of configurable computing resources whenever and wherever. With the developing technology, the use of this model is increasing day by day. There are many benefits of cloud computing to its users. The data that users keep in their data sets is the simplest example of this. With the cloud technology, the size of the data stored in databases is also increasing. For this reason, cloud technology and big data concepts are intertwined due to the large amount of data stored in databases. It is of great importance that the obtained data is evaluated by machine learning methods and produces results that can be used for technical and commercial purposes. In this study, first of all, cloud technology, the big data brought by this technology and the classification of these data with machine learning methods and algorithms have been examined. Then the studies in the literature were evaluated.

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“…A number of researchers have discussed the importance of agent technology in security mechanism. The development of distributed multi-agent systems shows the importance of this technology in state of the art research areas like cloud computing, block chain and IoT [33]. In [34] a security scheme was proposed with mobile agent paradigm and cryptographic techniques.…”

Section: Related Workmentioning

confidence: 99%

Intelligent Role-Based Access Control Model and Framework Using Semantic Business Roles in Multi-Domain Environments

et al. 2020

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Today's rapidly developing communication technologies and dynamic collaborative business models made the security of data and resources more crucial than ever especially in multi-domain environments like Cloud and Cyber-Physical Systems (CPS). It enforced the research community to develop enhanced access control techniques and models for resources across multi-domain distributed environments so that the security requirements of all participating organizations can be fulfilled through considering dynamicity of changing environments and versatility of access control policies. The popularity of Role-Based Access Control (RBAC) model is irrefutable because of low administrative overhead and largescale implementation in business organizations. However, it does not incorporate the dynamically changing policies and lacks semantically meaningful business roles which could have a diverse impact upon access decisions in multi-domain business environments. This paper describes our proposed novel access control framework that uses semantic business roles and intelligent agents through implementation of our Intelligent RBAC (I-RBAC) model. It encompasses occupational entitlements as roles for multiple domains. We use the dataset of original occupational roles provided by Standard Occupational Classification (SOC), USA. The novelty of the paper lies in developing a core I-RBAC ontology using real-world semantic business roles and intelligent agent technologies together for achieving required level of access control in highly dynamic multi-domain environment. The intelligent agents use WordNet and bidirectional LSTM deep neural network for automated population of organizational ontology from unstructured text policies. This dynamically learned organizational ontology is further matched with our core I-RBAC ontology in order to extract unified semantic business roles. The proposed I-RBAC model is mathematically described and the overall I-RBAC framework and its implementation architecture is explained. At the end, the I-RBAC model is validated through the implementation results that show a linear runtime trend of the model in presence of a large number of permission assignments and multiple queries.

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Survey of agent-based cloud computing applications

Cited by 54 publications

References 57 publications

SPD-Safe: Secure Administration of Railway Intelligent Transportation Systems

SPD-Safe: Secure Administration of Railway Intelligent Transportation Systems

Investigation of Cloud Computing Based Big Data on Machine Learning Algorithms.

Intelligent Role-Based Access Control Model and Framework Using Semantic Business Roles in Multi-Domain Environments

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