Enhancing IoT Systems: Cybercrime Prevention through Security Vulnerability Management

ABSTRACT: The rapid expansion of the Internet of Things (IoT) has introduced transformative benefits across various sectors, but it has also exposed significant security vulnerabilities. These vulnerabilities are increasingly being exploited by cybercriminals, posing a major threat to the integrity of IoT systems. This paper, titled "Enhancing IoT Systems: Cybercrime Prevention through Security Vulnerability Management", aims to identify key security weaknesses in IoT devices and networks and proposes effective strategies to mitigate associated cybercrime risks. The study adopts a multifaceted approach, combining a thorough review of existing literature with real-world case studies to explore prevalent IoT vulnerabilities. Additionally, it evaluates current prevention techniques, such as encryption, AI-based intrusion detection, and Blockchain, comparing their effectiveness in securing IoT systems. The proposed solutions are tested in simulated IoT environments, demonstrating their capacity to significantly reduce the risk of cyberattacks. Key findings indicate that industrial IoT and healthcare IoT systems are especially vulnerable, highlighting the need for advanced risk management frameworks tailored to these sectors. The paper concludes that integrating innovative technologies such as AI and Blockchain, alongside regular security updates, can enhance IoT security and play a critical role in preventing cybercrime. The implications of this research extend to the development of safer IoT infrastructures, with a focus on strengthening global cybercrime defense mechanisms.