Department of Electrical Engineering & Computer Science, Florida Atlantic University, 777 Glades Road, Boca Raton, FL 33431, USA.
Sensors (Basel). 2023 Mar 15;23(6):3142. doi: 10.3390/s23063142.
The Internet of Battlefield Things (IoBT) refers to interconnected battlefield equipment/sources for synchronized automated decision making. Due to difficulties unique to the battlefield, such as a lack of infrastructure, the heterogeneity of equipment, and attacks, IoBT networks differ significantly from regular IoT networks. In war scenarios, real-time location information gathering is critical for combat effectiveness and is dependent on network connectivity and information sharing in the presence of an enemy. To maintain connectivity and guarantee the safety of soldiers/equipment, location information must be exchanged. The location, identification, and trajectory of soldiers/devices are all contained in these messages. A malicious attacker may utilize this information to build a complete trajectory of a target node and track it. This paper proposes a location privacy-preserving scheme in IoBT networks using deception-based techniques. Dummy identifier (DID), sensitive areas location privacy enhancement, and silence period concepts are used to minimize the attacker's ability to track a target node. In addition, to consider the security of the location information, another security layer is proposed, which generates a pseudonym location for the source node to use instead of its real location when sending messages in the network. We develop a Matlab simulation to evaluate our scheme in terms of average anonymity and probability of linkability of the source node. The results show that the proposed method improves the anonymity of the source node. It reduces the attacker's ability to link the old DID of the source node with its new DID. Finally, the results show further privacy enhancement by applying the sensitive area concept, which is important for IoBT networks.
战场事物互联网（IoBT）是指用于同步自动化决策的互联战场设备/资源。由于战场具有独特的困难，例如基础设施缺乏、设备异构性和攻击，因此 IoBT 网络与常规物联网网络有很大的不同。在战争场景中，实时位置信息的收集对于战斗力至关重要，这取决于网络连接和在敌方存在时的信息共享。为了保持连接并保证士兵/设备的安全，必须交换位置信息。这些消息包含了士兵/设备的位置、身份和轨迹。恶意攻击者可能会利用这些信息构建目标节点的完整轨迹并对其进行跟踪。本文提出了一种基于欺骗技术的 IoBT 网络中的位置隐私保护方案。使用虚拟标识符（DID）、敏感区域位置隐私增强和静默期概念来最大限度地减少攻击者跟踪目标节点的能力。此外，为了考虑位置信息的安全性，还提出了另一个安全层，该层为源节点生成一个假名位置，以便在网络中发送消息时使用，而不是使用其真实位置。我们使用 Matlab 仿真来评估我们的方案在源节点的平均匿名性和链接概率方面的性能。结果表明，所提出的方法提高了源节点的匿名性。它降低了攻击者将源节点的旧 DID 与其新 DID 联系起来的能力。最后，结果表明通过应用敏感区域概念进一步增强了隐私，这对于 IoBT 网络非常重要。
