Intrusion Detection and Trust Provisioning in Edge-of-Things Environment

Dear Colleagues,

The Edge of Things (EoT) is a new computing paradigm adopted for Internet-of-Things (IoT) applications to improve responsiveness and conserve communication resources. With the growing number of IoT applications leveraging edge computing, there is a rising demand to shift more computations to edge servers. However, this shift may introduce a significant range of security and privacy challenges. As the EoT system brings services typically provided by cloud computing and IoT closer to the end user, many of its security and privacy issues are inherited directly from cloud and IoT environments. These concerns are now distributed across the various layers of the edge architecture. However, ensuring robust security at different layers of an EoT environment such as infrastructure layers is crucial. Intrusion detection techniques have demonstrated their effectiveness in analysing and capturing cyber threats across different contexts. In the context of EoT computing, more robust and resilience intrusion detection should be designed to effectively evaluate and capture cyber threats across various layers of the edge architecture. This Special Issue focuses on the development of intrusion detection systems tailored for EoT environments. Given the limitations of data availability and the dynamic nature of edge networks, distributed IDS models with real-time data collection, refinement and evaluation are crucial. This Special Issue invites papers covering security, privacy and trust challenges in EoT, offering novel strategies to improve the detection of intrusions and provisioning of trust in this cutting-edge paradigm.

Dr. Hooman Alavizadeh
Dr. Ahmad Salehi Shahraki
Guest Editors

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