Forthcoming articles

International Journal of Spatio-Temporal Data Science

International Journal of Spatio-Temporal Data Science (IJSTDS)

These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Register for our alerting service, which notifies you by email when new issues are published online.

Open AccessArticles marked with this Open Access icon are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.
We also offer which provide timely updates of tables of contents, newly published articles and calls for papers.

International Journal of Spatio-Temporal Data Science (1 paper in press)

Regular Issues

  • TRIPLE DES-WSA: AN EFFICIENT SECURITY ALGORITHM PROVIDING INTEGRITY WITH AID OF MAPREDUCE PROCESS   Order a copy of this article
    by S.B. Goyal, Pradeep Bedi 
    Abstract: In the last decade, major complications of big-data-to-IoT are data-management, security and time-management and thus the objective of the research is recognizing with the problems in big data to extend IoT. In order to accord with the data-management problem an ontology-based matching using H matching algorithm is implementing subsequent to Pillar k-means clustering algorithm that segregates meaningful and meaningless information. The time management problem is recognizing with the aid of Hadoop with mapreduce that specifies the location hitherto. Consequently, Triple DES algorithm with WPA is utilized and that is accountable for providing security by the usage of three keys for both the encryption-decryption. On the other hand, WPA is employed to the data integrity to substantiate whether the data is altered. We have applied ontology based on H-Matching algorithm proposed in the sequence of steps: the stop word removal, stemming process, grouping process and the ontolog making for matching. We have proposed the methodology to handle three parameters: Confidentiality, Integrity and Authenticity in the context of Big-data.
    Keywords: Big data and IoT; ontology-based H-matching algorithm; Pillar k-means clustering algorithm; Hadoop framework; Triple-DES (Data Encryption Standard) algorithm; Wireless-Protected-Access (WPA).