Smart cities will inevitably face the menace of cyberwars if the government agencies fail to implement the relevant cybersecurity strategies.
FREMONT, CA: The functionality of smart cities is woven into a fabric of vast networks comprising of IoT sensors. The networks might incorporate blockchain systems, artificial intelligence (AI) devices, and other connected technology vulnerable to cyberattacks, including phishing, self-propagating malware, and server hacking, not to mention the evolving attack vectors employed by cybercriminals.
The implementation of smart cities requires robust digital equipment, and this often might be imported from foreign countries. It makes communication networks susceptible to masked surveillance from hostile parties. Also, the global supply chain has made it easier for state-sponsored cybercriminals to modify the digital hardware and software before exporting it to other countries.
The lack of regulations regarding the visibility of IoT sensors can prove a significant obstacle to personal privacy. For instance, self-driving cars and facial recognition sensors sense almost everything and can also track social connections. The availability of the vast troves of personal data in these devices makes them a hotspot for cybercriminals, which often leverage this data to conduct personal attacks.
Blockchain transactions are one of the driving factors of the smart city market. Although blockchain technology prevents the manipulation of records, it cannot facilitate the validation of input data. The digital components are vulnerable to hijacking. Since the transactions are automatic, the devices can be hoodwinked. Hence, it is necessary for financial blockchain systems to be secured with robust cybersecurity solutions.
Implementation of Effective Cybersecurity Strategy
The mitigation of cybersecurity risks requires smart cities to adopt robust security frameworks to secure digital technology. It requires innovative strategies that can counter evolving cyberwar tactics employed by the cybercriminals. To protect the IoT networks, it is imperative for organizations to use the Zero Trust Network (ZTN) systems. It can facilitate the validation of IoT software before allowing connectivity.
The incorporation of efficient management systems which run on trusted computing platforms can mitigate a significant portion of the risks. Data validation is also essential to prevent corrupted data from entering the networks. Machine learning (ML) techniques can be utilized to detect any anomalies in the normal data of the digital equipment. Nevertheless, the implementation of smart cities requires robust cybersecurity measures. Hence, it is imperative for governments to enforce stringent cybersecurity standards.