Ucon-Ipso: Usage Control with Improved Particle Swarm Optimization (Ipso) Based Hierarchical Security Framework for Attack Detection in Wireless Sensor Networks

Abstract

In smart cities, Wireless Sensor Networks (WSNs) perform as a category of core transportation with the purpose of gathers information from the city in the direction of implement smart services. The security of WSNs is single of the key challenges of smart cities. Because WSNs are frequently organized in potentially difficult or still aggressive environment, an attacker is able to create each and every one type of threats and attacks. Many of the presented WSN security parts shouldn’t consists of inconsistent attributes; consequently, conventional security parts shouldn’t protect against ongoing attacks through dynamically changing attributes. To increase the security of WSNs, Usage Control with Improved Particle Swarm Optimization (IPSO) (UCON-IPSO) based security framework is proposed in this work which integrates attack detection and access control. Furthermore, different conventional prevention methods in WSNs, the proposed UCON-IPSO based framework make use of UCON with continuous decision making and dynamic attributes. These two attributes are useful in defending against ongoing threats. New UCON-IPSO security framework is proposed in the direction of protect Distributed Denial of Service (DDoS) and Sophisticated Attacks. The proposed UCON-IPSO based framework use a self-motivated adaptive likelihood discovery device and it also varied from conventional detection methods, which are able to revise dynamically toward protect against unknown attacks and DDoS attack. Lastly, Software-Defined Networking (SDN) and Network Function Virtualization (NFV) are used in the direction of execute attack mitigations when moreover low-level or high-level attacks are detected in this work. An experiment was performed in the direction of obtain an attack detection results for evaluation. The simulation results demonstrate the possibility and effectiveness of the proposed UCON-IPSO hierarchical security framework scheme with higher attack detection rate.

Authors and Affiliations

N. Thangamani

Keywords

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  • EP ID EP245966
  • DOI -
  • Views 109
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How To Cite

N. Thangamani (2017). Ucon-Ipso: Usage Control with Improved Particle Swarm Optimization (Ipso) Based Hierarchical Security Framework for Attack Detection in Wireless Sensor Networks. International journal of Emerging Trends in Science and Technology, 4(8), 5681-5691. https://europub.co.uk/articles/-A-245966