Intrusion Detection in Internet of Things: Latest Advances and Prospects

Dear Colleagues,

This Special Issue focuses on the critical research domain of intrusion detection on the Internet of Things (IoT), a field that has garnered immense attention due to the rapid proliferation of IoT devices across everyday life and essential infrastructure systems. This collection of papers aims to illuminate the latest advances and explore future prospects within IoT intrusion detection, showcasing both technological and methodological innovations that have emerged to tackle this challenge.

The contributions within this Issue provide a comprehensive examination of the state-of-the-art intrusion detection systems (IDSs) that have been specifically designed for the IoT context. Articles delve into how these systems counter a wide range of security threats—from simple network intrusions to complex cyber-attacks specifically crafted for IoT ecosystems. There is a particular emphasis on how traditional IDS solutions are being adapted and optimized to meet the unique requirements of IoT, such as limited computational capacities, energy constraints, and the necessity for scalable and highly reliable protections across expansive and varied device networks.

Additionally, this Special Issue explores the integration of cutting-edge technologies, such as artificial intelligence (AI) and machine learning (ML), highlighting their role in improving the efficiency and precision of IDSs in identifying and mitigating both existing and emerging security threats. Future research directions, including the development of interoperable security standards and the ethical implications of data privacy in IDS deployments, are also critically assessed.

Through this collection, this Special Issue aims to serve as a foundational reference for academics, industry experts, and policymakers engaged in studying and enhancing the security frameworks of IoT networks. It seeks to foster a deeper understanding of the current challenges and encourage innovative solutions to enhance the robustness and efficacy of intrusion detection systems in IoT environments.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

Topic

1. Technological Enhancements in IoT Security: Focusing on advancements in intrusion detection technology specific to IoT, including new algorithms, software, and hardware improvements.
2. Methodological Approaches to IoT Security: Examining different approaches and frameworks used to enhance the intrusion detection capabilities in IoT environments, including comparative analyses of various methodologies.
3. AI and ML Integration in IDS: Exploring how artificial intelligence and machine learning are being utilized to increase the accuracy and speed of intrusion detection systems within IoT.
4. Challenges of Scalability and Reliability: Addressing the issues related to scaling IDS solutions for widespread IoT networks and ensuring their reliability across diverse and fragmented device ecosystems.
5. Privacy and Ethical Implications: Discussing the balance between effective security measures and the protection of personal privacy in IoT devices, including the ethical considerations of widespread surveillance and data collection.
6. Standardization and Policy Development: Outlining the need for creating and implementing standards for IoT security and the role of policy in governing and guiding these standards.
7. Emerging Threats and Adaptive Security: Identifying new and evolving threats to IoT networks and how IDS can adapt to counter these threats effectively.
8. Energy-Efficient IDS Solutions: Focusing on the development of intrusion detection systems that minimize power consumption, which is crucial for battery-operated and energy-constrained IoT devices.
9. Cross-Domain Applications of IoT Security: Illustrating how intrusion detection strategies can be applied across different sectors, such as healthcare, industrial, smart homes, and automotive industries.
10. Future Directions in IoT Security Research: Offering insights into the future of IoT security, predicting upcoming challenges, and exploring new research directions.

Dr. Naveed Khan
Dr. Hanif Ullah
Guest Editors

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• intrusion detection systems (IDS)
• Internet of Things (IoT)
• security threats
• device ecosystems
• artificial intelligence (AI)
• security standards