Special Issue "Data and Privacy Management in Sensor Networks"
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 15726
Interests: multimedia information retrieval; XML and RSS similarity; access control models; digital ecosystems
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Recent years have witnessed a widespread interest in innovative sensor networks capable of providing valuable data for various applications (e.g., home automation, energy management), the connected objects and environments impact numerous application domains. From smart homes and buildings to cities, vehicle networks, and electrical grids, they have become a novel trend that is revolutionizing how people interact with their surroundings, how they accomplish their daily tasks in the workplace, and how they handle their health security, and safety. Sensor networks markets are currently booming and are projected to continue their growth for the years to come. The rising interest in intelligent connected environments (e.g., smart buildings, cities, factories) and the evolution of sensors, data management/communication technologies have paved the way for exciting and valuable applications that help users in their everyday tasks (e.g., increasing comfort, reducing energy consumption).
Indeed, the sensor network ecosystem have made it easy to collect and exchange a large amount of data, connect heterogeneous systems, create complex systems for new forms of collaboration and interoperability. Typically, the sensed data are transmitted to the edge nodes, or directly to the cloud/server where it will be stored, indexed, processed and analysed to offer a new class of advanced services, such as envirenement monitoring, objects tracking, event detection, advanced data analytics, etc. Despite the progress made, however, data and privacy management in sensor networks remains a core and challenging issues. In fact, due to the nature of sensor networks, there exist complexity in gathering, aggregation, indexing, storage, processing and analysing big data generated by resource-constrained sensor nodes per unit time. Furthermore, sensor networks also impose new challenges related to knowledge discovery and decision-making automation, security, privacy, and trust.
This special issue will promote the state-of-the-art research covering all aspects of the data and privacy management in sensor networks. High quality contributions addressing related theoretical and practical aspects are expected. The topics of interest for this special issue include, but are not limited to :
- Modelling, simulation of sensor networks
- Architecture and Protocols for sensor networks
- Data gathering, storage and aggregation in sensor networks
- Data processing, indexing and discovery in sensor networks
- Data analytics solutions for sensor networks
- Knowledge discovery and decision-making automation in sensor networks
- Modelling, analysis, simulation, and verification of security, privacy, and trustworthiness for sensor networks
- Detection, evaluation, and prevention of threats and attacks in sensor networks
- Data security, privacy, and trustworthiness in sensor networks
Dr. Richard Chbeir
Dr. Taoufik Yeferny
Manuscript Submission Information
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