Advances in Intelligent Defense Systems for the Internet of Things

Dear Colleagues,

The proliferation of Internet of things (IoT) devices has introduced unprecedented connectivity and convenience into our lives, revolutionizing various sectors such as healthcare, transportation, manufacturing, and smart homes; however, this rapid expansion poses significant security challenges, as IoT devices often possess limited computational power and are deployed in diverse and dynamic environments. Addressing these challenges requires the development of intelligent defense systems capable of detecting, mitigating, and responding to a wide range of security threats in real time. 

This Special Issue aims to explore recent advances in intelligent defense systems tailored specifically for IoT environments. Topics of interest include, but are not limited to, the following:

1. Threat detection and anomaly detection techniques for IoT networks.
2. Machine learning and AI-based intrusion detection and prevention approaches in IoT systems.
3. Secure communication protocols and encryption techniques for IoT devices.
4. Adaptive and self-learning defense mechanisms for IoT networks.
5. Privacy-preserving solutions for IoT data collection and processing.
6. Hardware-level security mechanisms for IoT devices.
7. Collaborative defense strategies leveraging edge computing and cloud resources.
8. Case studies and real-world deployments of intelligent defense systems in IoT applications.
9. Standardization and regulatory efforts for enhancing IoT security.
10. Vulnerability assessment and penetration testing methodologies for IoT ecosystems. 

We welcome original research articles, reviews, and case studies addressing the above topics. Submissions should adhere to the journal's formatting and submission guidelines. All manuscripts will undergo a rigorous peer review process to ensure the quality and relevance of the contributions. 

Dr. Qasem Abu Al-Haija
Dr. Ammar Odeh
Dr. Abdulaziz Alsulami
Prof. Dr. Nik Bessis
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Big Data and Cognitive Computing is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.