LEVERAGING IOT SECURITY TO SUPPORT ENHANCED SMART CITY

Abstract

As the world rapidly urbanizes, smart cities have emerged as a promising solution to enhance urban environments through the integration of Internet of Things (IoT) technologies. However, the increasing reliance on interconnected devices and systems poses significant security challenges that must be addressed to ensure the sustainable development of these cities. By conducting an extensive analysis of scholarly literature and real-world case studies, this paper elucidates the multifaceted nature of IoT security within the smart city landscape. It unveils the complexities surrounding risks and vulnerabilities unique to this context, shedding light on the necessity for proactive and comprehensive security measures. Key areas of concern include safeguarding critical infrastructure, protecting citizen privacy, and bolstering overall urban resilience. With the widespread adoption of smart devices, the usage of these devices for daily tasks has surged, resulting in a significant increase in data generation. However, protecting IoT networks in the context of Smart Cities and modern IoT technologies poses a substantial challenge due to the potential compromise of user data by malicious actors. Additionally, the vulnerability of IoT system sensors to attacks is a pressing concern, given their limited resources and susceptibility to power drainage, which can have severe consequences for both infrastructure and human safety. Consequently, extensive efforts are being made to secure networks and nodes against such threats. This research focuses specifically on Distributed Denial of Service (DDoS) attacks, which are prevalent across various layers of IoT. The study presents effective predictive models for identifying and classifying these attacks, employing optimized features combined with different feature selection techniques. Notably, our work adopts a unique approach to accurately labeling and classifying the identified attack types within their respective subclasses. our work also provides an exhaustive review of various IoT simulation tools and testbeds that can provide new functionality for designing, modeling, and analyzing the IoT problem and determining their solution. This will lead to improvised and optimal solutions for improving the quality of human life. According to the findings of the study, NS3, an open-access simulator, has been used in numerous studies and is widely used by researchers to solve IoT problems.