Scope
Internet of things (IoT) has emerged as a topic of intense interest among the research and industrial community since it created revolutionary impact on human life. Despite the valuable revolution, the security of IoT devices has become a serious concern nowadays, especially for the healthcare domain. The growing use of IoT technology in healthcare systems and devices make them open to the cyber-attacks, e.g., denial of service (DoS), data breach (eaves-dropping), phishing attacks, etc. These severe cyber-attacks can surge the morbidity and mortality if the serious steps are not taken by both the research and industrial community. Therefore, in this workshop, we aim to aware and motivate the audience to work on the security of the IoT healthcare systems. In order to stimulate the audience, we will demonstrate the audience to know about the two existing cutting edge technologies, i.e., cyber security and artificial intelligence (AI) that can be used to develop the state-of-the-art solutions for securing the IoT healthcare systems from cyber-attacks. We will demonstrate the how one can use network traffic generation techniques to simulate the normal and attack traffic of an IoT healthcare use case. Further, we will also demonstrate how one can use AI to develop machine learning models for detecting the anomalies in the generated IoT healthcare use case traffic. By following the demonstration given in the workshop, the audience will be able to improve the security and data privacy of the IoT healthcare systems.
Topics
Authors are solicited to submit original, previously unpublished papers in the following, but not limited to, topic areas:
- Security and Privacy Challenges in IoT Healthcare Systems;
- Healthcare Systems’ Information Security;
- AI-Based Security Solutions for IoT Healthcare Systems;
- Machine Learning based Solutions for Cyber-Attack Detection in Healthcare Systems;
- Machine Learning based Solutions for Cyber-Attack Prevention in Healthcare Systems;
- Security Testbeds for IoT Healthcare Systems.
Workshop Chair
Faisal Hussain, University of Engineering and Technology (UET) Lahore, Pakistan
TPC Members
Gonçalo Marques, University of Coimbra, Coimbra, Portugal
Abdul Hannan, University of Management and Technology, Sialkot, Pakistan
Publication
All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.
GOODTECHS proceedings are indexed in leading indexing services, including Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).
Authors of selected best accepted and presented papers will be invited to submit an extended version to:
- Mobile Networks and Applications (MONET) Journal (IF: 2.602)
- Information and Communication Technologies for Social Good and Healthcare
- Data Privacy, Security, and Trust in New Technological Trends
- Artificial Intelligence of Things (AIoT) for 5G Communication Networks
All accepted authors are eligible to submit an extended version in a fast track of:
- EAI Endorsed Transactions on Pervasive Health and Technology (Open Access) – Scopus indexed
- EAI Endorsed Transactions on Smart Cities (Open Access)
Additional publication opportunities:
Workshop Chair
Faisal Hussain, University of Engineering and Technology (UET) Lahore, Pakistan
Workshop Track Deadlines
Full Paper Submission deadline
14 June 2021
Notification deadline
1 July 2021
Camera-ready deadline
1 August 2021
Start of Conference
15 September 2021
End of Conference
17 September 2021