| Abstract |
In terms of device connectivity, the Internet of Things (IoT) has improved secrecy, accessibility, availability, integrity, scalability, and interoperability on a worldwide scale. IoT systems are vulnerable to cyberattacks despite these benefits because of their many attack surfaces and the absence of established security standards and regulations because of their recent development. IoT systems are susceptible to a wide variety of cyberattacks, contingent upon the targeted element, and the attackers’ goals. As a result, a great deal of research is being done in cybersecurity for IoT. IoT system security is greatly aided by artificial intelligence (AI), which focuses mostly on identifying anomalous behaviors that may be signs of impending assaults. But when it comes to IoT, cybercriminals continue to have an advantage because they only need to target one weakness, whereas cybersecurity professionals must defend several targets. Because of this power imbalance, cybercriminals are increasingly depending on AI to get beyond complex algorithms that are meant to spot unusual activity and make their presence undetected. The convergence of IoT technologies and AI has attracted substantial interest because of its implications for vulnerability and security. These technologies are used to recognize and efficiently detect possible attacks and threats. We are now living in the Fourth Industrial Revolution, or Industry 4.0, because of recent technological breakthroughs. Among these, the fog computing, IoTs, computer security, and cyberattacks have all shown noticeable exponential growth. IoT networks and devices are growing at a rapid pace, producing massive volumes of data that need careful authentication and security procedures. AI is one particularly promising tactic for preventing cybersecurity risks and ensuring overall security. The notable surge in smart cities, fog computing, and Industry 4.0 can be ascribed to the extensive expansion of the IoT in recent times. These domains deal with confidential information that needs to be secured from cyberattacks and analyze complicated data. These kinds of attacks are becoming increasingly frequent in many different industries, such as automation, energy, healthcare, automated homes, industrial processes, and agriculture. Because IoT device sensors offer a wide range of services, they generate a lot of data; therefore, security, privacy, and authentication methods are necessary. While traditional methods and frameworks were used to safeguard IoT security, the relevance of applying various AI tools to discover cybersecurity vulnerabilities has expanded over time. As a result of recent technological advancements, we have entered the Fourth Industrial Revolution era, or Industry 4.0. During this time, there has been an exponential increase in the disciplines of computer security, cyberattacks, fog computing, and the IoT. Because of the huge volumes of data that have been collected as a result of the rapid expansion of networks and IoT devices in various forms, extensive authentication and security procedures are necessary. AI is considered to be one of the most promising methods available for enhancing general security protocols and effectively mitigating cybersecurity risks. The IoT has grown significantly in the last several years, resulting in significant developments in Industry 4.0, fog computing, and smart cities. Because sensitive information is processed in a complicated way, these advancements need to be protected from cybersecurity attacks. In many industries, including energy, healthcare, agriculture, industrial processes, automation, smart homes, and cybersecurity threats have increased in frequency. Strong authentication, security, and privacy mechanisms are required since IoT device sensors deliver a wide range of services and generate a substantial amount of data. The employment of different AI tools to identify cybersecurity breaches has clearly shifted in recent times, even while old methods of achieving IoT security were still in use. © 2025 selection and editorial matter, Dinesh Sharma, Geetam Singh Tomar and Anand Jha; individual chapters, the contributors. |
