Hurst, W and Dobbins, C (2015) Guest Editorial Special Issue on: Big Data Analytics in Intelligent Systems. Journal of Computer Sciences and Applications, 3 (3A). pp. 1-9. ISSN 2328-7268

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Abstract

The amount of information that is being created, every day, is quickly growing. As such, it is now more common than ever to deal with extremely large datasets. As systems develop and become more intelligent and adaptive, analysing their behaviour is a challenge. The heterogeneity, volume and speed of data generation are increasing rapidly. This is further exacerbated by the use of wireless networks, sensors, smartphones and the Internet. Such systems are capable of generating a phenomenal amount of information and the need to analyse their behaviour, to detect security anomalies or predict future demands for example, is becoming harder. Furthermore, securing such systems is a challenge. As threats evolve, so should security measures develop and adopt increasingly intelligent security techniques. Adaptive systems must be employed and existing methods built upon to provide well-structured defence in depth. Despite the clear need to develop effective protection methods, the task is a difficult one, as there are significant weaknesses in the existing security currently in place. Consequently, this special issue of the Journal of Computer Sciences and Applications discusses big data analytics in intelligent systems. The specific topics of discussion include the Internet of Things, Web Services, Cloud Computing, Security and Interconnected Systems.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Computer Science and Mathematics
Publisher:	Science and Education Publishing
Date Deposited:	06 Aug 2015 07:48
Last Modified:	04 Sep 2021 14:07
DOI or ID number:	10.12691/jcsa-3-3A-1
Editors:	Hurst, W and Dobbins, C
URI:	https://researchonline.ljmu.ac.uk/id/eprint/1756

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