 CALL FOR PAPERS Digital Threats: Research and Practice Special Issue on Actionable Information for Digital Threat Discovery using Contextualized Data or Multi Sensor Data Fusion Guest EditorsS. S. Iyengar, Florida International University, USA Bhavani Thuraisingham, The University of Texas at Dallas, USA Marek Zmuda, Intel Technology, Poland  Sensing and manipulation of sensory information is an integral part of providing many of the services in this digital era. However, the information that is collected is highly vulnerable to leakage, malicious manipulations, compromise of confidentiality and integrity, and other attacks. The term “data” here includes all information collected by the smart devices, wearables, and other collaborative sensory systems making it an important problem to solve to safeguard the digital property itself. The compromise of such sensitive sensory information either at the source of production or when it is motion through the many containers that holds this information for the many services means securing this content is an even harder problem to solve. There is thus a need for highly robust, novel and actionable ways to define the context of the information and use the same in safeguarding it from digital threats by quantifying the threat and intelligently manipulating them to bridge the gap we have in this field. There is also a need for materials that can be customized to fit into these circumstances involving sensory components. The lack of security standards in the world of sensing devices adds to the complexity and demands the need for technical solutions that can act as countermeasures.The goal of this special issue is to encourage, stimulate and advance the evidence-based research and discussion on issues related to identification and use of actionable information that can aid in Digital Threat discovery using contextualized data or multi sensor data fusion. This type of threat discovery involves interdisciplinary and multidisciplinary activity in the form of material selection, software security solutions, learning-based automation, etc. In this solicitation, we call for research articles that highlight the findings and lessons learned across a broad spectrum of the research and operational communities, including the computational sciences, behavioral sciences, public policy, law, and industry. The topics of interest of this special issue include but are not limited to: Advancements in Sensor Networks and Context Aware computingNetwork protocols and standards for securing communication Network Security Threats Context Aware Sensor networks Secure Scheduling, Tasking and ControlAdvancements in Sensor data ProcessingMulti-sensor fusion Artificial Intelligence and Machine Learning solutions for contextualization Secure Programming and middleware operations Big Data approaches Large-scale secure storage, transmission and resource provisioning ApplicationsCyber-Physical Systems Internet of Things and smart ecosystem HVAC and building monitoring systems Defense applications Hardware and software security Healthcare and Telemedicine Industrial applicationsAdvancements in design of composite material for secure communicationNovel concepts for utilizing in non-traditional materials for building robust devicesMaterials Data Science/Learning-based manipulation of materials Benchmarking and material characterization The Future of Context aware computing and sensor fusion for Threat identificationPolicies and Standards required Novel solutions to counter digital threats Early identification and timely mitigation techniques Optimization techniques for effective use of resources Federal and Legal impacts Expected Contributions and Submission Information Research manuscripts reporting novel methodologies and results (up to 25 pages)Field Notes Benchmark, Datasets, Repositories, and Demonstration Systems that enable further research and facilitate research on Actionable Information for Digital Threat discovery using contextualized data or multi sensor data fusionMore information about each category, as well as the DTRAP author guidelines, can be found heredl.acm.org/journal/dtrap/author-guidelines. Please submit your papers to mc.manuscriptcentral.com/dtrap and select the “Special Issue on Actionable Information for Digital Threat Discovery using Contextualized Data or Multi Sensor Data Fusion” paper type. Important Dates Submission Deadline: January 15, 2021 First-round Reviews Complete: April 30, 2021 Revisions Due: May 31, 2021 Publication Date: TBD 2021 For questions or further information, please write to DTRAP_DataFusion@acm.org. |