Call for Workshop Papers: Data Analytics for IoT Security

Important Dates

Submission Deadline

2 August 2024

Notification Deadline

23 August 2024

Camera-ready Deadline

13 September 2024

Scope and Topics

The scope of this workshop involves the exploration of the critical domain of securing and preserving privacy within the Internet of Things (IoT) landscape. In an era rich with interconnected devices, ensuring robust security measures and safeguarding user privacy have emerged as paramount concerns. The need to strengthen security measures against evolving threats has become imperative. The interconnected nature of IoT systems introduces a myriad of vulnerabilities, ranging from insecure communication channels to compromised data integrity. Moreover, the vast volumes of sensitive data generated by IoT devices necessitate robust privacy-preserving techniques to safeguard user information from unauthorised access and exploitation.

The aim is to bring together cutting-edge research and innovative solutions that address the multifaceted challenges posed by IoT security and privacy. It explores the complexities inherent in securing the vast number of interconnected devices while maintaining user privacy across diverse IoT ecosystems. Additionally, it investigates the pivotal role played by emerging computing paradigms such as Cloud, Edge, and Fog computing in fortifying security measures and mitigating privacy risks within IoT environments.

Contributions to this workshop cover a wide range of topics including, but not limited to, the following:
1. Threats and vulnerabilities in IoT systems;
2. Privacy-preserving techniques for IoT data;
3. Blockchain for privacy and security in IoT;
4. Authentication and access control mechanisms;
5. Intrusion detection and prevention systems for IoT;
6. Compliance and regulatory frameworks for IoT security and privacy;
7. Artificial Intelligence/Machine Learning for privacy and security in IoT;
8. Federated learning techniques for decentralised IoT systems;
9. Integration of Cloud, Edge, and/or Fog computing in IoT security architectures;
10. Lightweight cryptography and ML in the IoT;
11. Zero-day attack detection and trust management in IoT;
12. Case studies and real-world applications demonstrating effective IoT security measures.


All speakers will be invited to submit an article to a Special Issue organized by the Cognitive Computation journal (Springer-Nature)

Paper Submission

Papers should be submitted through EAI ‘Confy+‘ system, and have to comply with the Springer format (see Author’s kit section).

  1. Regular papers should be up to 12-20 pages in length.
  2. Short papers should be 6-11 pages in length.

All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.

Author’s kit – Instructions and Templates (SPRINGER)

Papers must be formatted using the Springer LNICST/ EASICC Authors’ Kit.

Instructions and templates are available from Springer’s LNICST homepage:

Please make sure that your paper adheres to the format as specified in the instructions and templates.

When uploading the camera-ready copy of your paper, please be sure to upload both:

  • a PDF copy of your paper formatted according to the above templates, and
  • an archive file (e.g. zip, tar.gz) containing the both a PDF copy of your paper and LaTeX or Word source material prepared according to the above guidelines. 

Workshop Organizers

Workshop Chair

Dr. Mohammed Al-Khafajiy, School of Computer Science, University of Lincoln

Workshop TPC Members

Prof. Thar Baker Shamsa, University of Brighton
Dr Saeid Pourroostaei Ardakani, University of Lincoln
Dr Saif Alzubi, University of Exeter
Dr Kabiru Maiyama, University of Lincoln


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Attendance: scientists, students and professionals