使用情境化数据或多传感器数据融合的数字威胁发现的可操作信息特刊

S. S. Iyengar, B. Thuraisingham, Marek Zmuda
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引用次数: 0

摘要

在这个电子时代提供的许多服务都依赖于传感器数据的检测和操作。然而,收集到的数据非常容易泄露、恶意修改、违反机密性和完整性以及其他攻击。数据安全是一个主要问题,敏感的传感器数据可能在创建源处或通过为许多服务携带这些信息的各种容器进行传输时遭到破坏。因此,确定信息的上下文,并通过评估和熟练地修改信息来保护信息免受数字威胁,这对于缩小我们目前的差距是必要的。由于传感设备领域缺乏安全标准,因此需要开发可以作为对策的技术解决方案,从而增加了复杂性。本期特刊有两大贡献:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Special Issue on Actionable Information for Digital Threat Discovery Using Contextualized Data or Multi Sensor Data Fusion
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:
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