Advertisement

Analysis of Security Vulnerability and Analytics of Internet of Things (IOT) Platform

  • Anteneh Girma
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 738)

Abstract

The Internet of Things (IOT) has become an attractive and inviting technology that enables gathering information about all interconnected devices on real-time. These interconnected physical devices have a unique identifiers and the ability to communicate each other using its sensor technology and transfer data over a network. The collected information also provide significant opportunity for different businesses to have insight about these data by applying effective data analytics on them. Internet of Things have also revealed a huge security vulnerability that range from its authentication to its trust management, and a threat to its embedded devices. This research paper explores and discusses the challenges of Internet of things (IOT) that includes: its vulnerability, security and Privacy of IOT, current analytics of IOT, Imminent ownership threat, trust management, IOT Models, its road map, and make recommendation on how to resolve its security challenges.

Keywords

IOT IOT security IOT models IOT category IOT privacy 

References

  1. 1.
    T. Heer, O. Murchony, R. Hummen, S.L. Keoh, S.S. Kumar, K. Wehlre, Security challenges in the IP-based internet of things. Wirel Pers Commun 61(3), 527–542 (2011)CrossRefGoogle Scholar
  2. 2.
    M. Babar, F. Arf, Smart urban planning using big data analytics based internet of tings, in UBICOMP/ISWC, Ubicomp’ 17 Proceeding of the the 2017 ACM International Joint Conference on Pervasive and Ubiqui Plannintous Cimputing, and Ubiquitous Computing and Preceeding of the 2017 ACM International on Wearable Computer, “International Conference on Future Internet of Things”, pp. 191–196 Google Scholar
  3. 3.
    Y. Atwald, M. Hammoudeh, A survey on authentication techniques for the internet of things, in Preceedings of ICFNDS’17, Cambridge, United Kingdom, July 2017Google Scholar
  4. 4.
    S. Homow, A. Sardana, Identity management framework for cloud based internet of things, in Secure IT’12, ACM, Kollam, Kerale, India, August 2012Google Scholar
  5. 5.
    S. Silari, D. Morandi, A. Rizzardi, A. Coen-Porisini, Internet of things: security in the keys, in Q2SWINET, Preceeding of 12th ACM Symposium on QoS and Security for Wireless and Mobile Networks, Malta, Malta, November 2016, pp. 129–133Google Scholar
  6. 6.
    R. Di Pietro, L. Mancini, S. Jajodia, Providing secrecy in key management protocols for large wireless sensor networks. Ad Hoc Netw. 1(4), 455–468 (2003)CrossRefGoogle Scholar
  7. 7.
    G. Dini, L. Lopriore, Key propagation in wireless sensor networks. Comput Electr Eng 41, 426–433 (2015)CrossRefGoogle Scholar
  8. 8.
    S. Silari, L.A. Grieco, A. Coen Porisini, Security, privacy, and trust in internet of things: the road ahead. Comput Network 76(15), 146–164 (2015)Google Scholar
  9. 9.
    S. Breiner, E. Subrahmanian, R.D. Sriram, Modeling The Internet of Things, Foundational Approach (ACM, Stuttgart, 2016)Google Scholar
  10. 10.
    F. Bao, R. Chen, Dynamic trust management for internet of things applications, in Self-IoT’12, Preceeding of the 2012 International Workshop on Self-aware Internet of Things, San Jose, California, USA., September 2012, pp. 1–6Google Scholar
  11. 11.
    J. Haight, H. Park, “IoT analytics and practice”, Blue Hill Research, Analyst Insight, Report number A0173, September 2015, pp. 1–12Google Scholar
  12. 12.
    D. Mukerjee, S. Datta, Incremental time series algorithm for iot analytics: an example from autoregression, in ICDCN’16, Proceedings of the 17th International Conference on Distributed Computing and Networking Article, Number 13, Singapore, Singapore, January 2016Google Scholar
  13. 13.
    P. Wlodarczak, M. Ally, J. Soar, Data Mining in IoT Data analysis for a new paradigm on the Internet, in WI’17 Proceedings of the International Conference on Web Intelligence, Leipzig, Germany, August 2017, pp. 1100–1103Google Scholar
  14. 14.
    Hadoop-Based Intelligent Care System (HICS). Analytical Approach for Big Data in IoT in M. Mazhar Rathore and Anand Paul, Awais Ahmad, Marco Anisett, Gwanggil Jeon, ACM Transaction on Internet Technology (TOIT)”, vol. 8, issue 1, New York, New York, November 2017Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Robert Morris UniversityMoonUSA

Personalised recommendations