Smart City Gnosys
Smart city article details
| Title | Reliability And Security Of Edge Computing Devices For Smart Cities |
|---|---|
| ID_Doc | 44950 |
| Authors | Pansari N.; Saiya R. |
| Year | 2023 |
| Published | Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities |
| DOI | http://dx.doi.org/10.1007/978-3-031-22922-0_2 |
| Abstract | In today’s modern and developing world, security and privacy are essential ingredients for ensuring data safety and the legitimate access of one’s information for most of the real-time applications they utilize, be it using smartphones, laptops, tablets, or electronic gadgets which are connected through the Internet thus making it an easy target to leverage the security of that device, resulting in enabling the attackers getting access to the sensitive and confidential data of the individual or organization. With the progression of technology at such a rapid pace, it may be frequent to conclude that drones will be delivering goods and merchandise, thus catering to the accessibility of mobile hotspots and ensuring the security & surveillance of smart cities. Considering the long-term utility of drones for smart cities, there also comes the threat of cyber-attacks like Deauthentication Attacks, GPS Spoofing, etc., which will lead to the disclosure of sensitive information. The smart devices consist of various embedded SoCs (System-On-Chip), which are integrated to sustain a large amount of user data by focusing primarily on avoiding the trade-off between the complexity of the machine learning implemented model and the available compatible edge devices (Hardware SoCs). Thus, it is essential to enhance the security of edge devices on a large scale, specifically from the perspective of smart cities. Several researchers have also proposed methodologies to improve and sustain the security of smart devices using optimized blockchain-based security frameworks using physical parameters like temperature, light, etc. This chapter defines an insight towards ensuring the security (focuses majorly on the Edge computing devices) of the smart devices, which are the prime source to enhance and maximize privacy, thus enabling the smart cities to be more secure from any cyberattack. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. |
| Author Keywords | Adversarial attacks; Cyber attacks; Deep Neural Networks (DNNs); Edge computing; IoT security; Privacy; Robustness level; Security; Smart City |
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