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What Are the Security Challenges Concerning Maintenance Data in the Railway Industry
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Digital Services and Systems.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Recently, technology advancement has brought improvement in all the sectors, including the railway sector. The Internet of Things (IoT) based railway systems have immense potential to improve quality and systems that will enable more efficient, environmental friendly railway system. Many research brought innovations that offer enormous benefits for rail travel. The current research focuses on the railway industries, as they want to reap the benefits of IT concept such as Cloud Computing, Information Security, and Internet of Things (IoT). Railway industries are generating a large volume of data every day from different sources. In addition, machine and human interactions are rapidly increasing along with the development of technologies. This data need to be properly gathered, analysed and shared in a way that it is safe from different types of cyberattacks and calamities. To overcome smart devices’ and Cloud’s limitations, the new paradigm known as Fog computing has appeared. In which an additional layer processes the data and sends the results to the Cloud. Despite numerous benefits of Fog, computing brings into IoT-based environments, privacy and security issues remain the main challenge for its implementation. Hence, the primary purpose of this research is to investigate the potential challenges, consequences, threats, vulnerabilities, and risk management of data security in the railway infrastructure in the context of eMaintenance.

Place, publisher, year, edition, pages
2019. , p. 57
Keywords [en]
Cloud Computing, Railway, Identification, Internet Of Things, Authorization, Authentication.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-75741OAI: oai:DiVA.org:ltu-75741DiVA, id: diva2:1346805
Subject / course
Student thesis, at least 30 credits
Educational program
Information Security, master's level (120 credits)
Presentation
2019-08-29, LTU, Luleå, 09:00 (English)
Supervisors
Examiners
Available from: 2019-08-29 Created: 2019-08-29 Last updated: 2019-08-29Bibliographically approved

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CiteExportLink to record
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