Special Issue on Actionable Information for Digital Threat Discovery Using Contextualized Data or Multi Sensor Data Fusion

Abstract

Many of the services offered in this electronic era depend on the detection and manipulation of sensor data. The data that is gathered is, however, extremely susceptible to leakage, malicious modification, violation of confidentiality and integrity, and other assaults. Data security is a major issue, and the sensitive sensor data can be compromised either at the source of creation or when it is in transit through the various containers that carry this information for the many services. Determining the context of the information and using that to protect it from digital threats by assessing and skillfully modifying them is thus necessary to close the gap we now have. The complexity is increased by the absence of security standards in the world of sensing devices, which demand the development of technical solutions that can serve as countermeasures. This special issue has two major contributions: