Romanian Cyber Security Journal / Fall 2024, No. 2, Vol. 6

A Proactive Approach to Mitigate Cyber Risks in IoT Systems

Daniel SAVU, Electra MITAN

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Abstract

The rapid proliferation of Internet of Things (IoT) devices has revolutionized industry and everyday life, connecting billions of devices worldwide. However, this growth has also led to increased cybersecurity risks, as IoT systems are highly vulnerable to attack due to limited security measures, weak defaults, and poor patch management. Artificial Intelligence (AI) and Machine Learning (ML) models can help optimize and secure IoT ecosystems by efficiently managing the data generated and protecting it from cyber threats. ML algorithms can analyze network traffic patterns and identify malicious activity such as attacks or unauthorized access. ML technologies can adjust security measures based on emerging threats, providing a dynamic and adaptive defense. The paper presents aspects of the legal framework regulating IoT in the European Union, the key components of a proactive cybersecurity strategy, real-time monitoring and incident response, the use of AI and ML to deal with cybersecurity incidents, as well as information on conducting penetration tests in IoT ecosystems and the tools useful to assess their security.

Keywords

Penetration testing, Internet of Things (IoT), Cybersecurity, Machine Learning (ML), Artificial Intelligence (AI)