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.