传感器网络中的高级回避数据存储

Z. Benenson, F. Freiling, Peter M. Cholewinski
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引用次数: 7

摘要

如果在传感器网络中存储和处理的数据具有一定的价值,则需要通过安全机制保护这些数据不被未经授权的访问。规避数据存储的概念是数据在传感器网络中移动,而不是停留在固定位置。通过这种方式,攻击者一旦(通过节点捕获)访问了存储在某个特定节点上的数据,就必须破坏更多的传感器,以维持对传感器数据的非法访问。我们以两种方式改进了先前发布的简单回避数据存储技术:(1)我们通过限定数据可能移动的区域来提高数据检索的效率,(2)我们引入数据分割作为一种技术来防止潜伏攻击,在潜伏攻击中,对手只是接管节点子集并等待有价值的数据通过。我们通过大量的模拟来证明我们的方法的有效性。
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Advanced Evasive Data Storage in Sensor Networks
In case the data which is stored and processed in a sensor network has some value, it needs to be protected from unauthorized access through a security mechanism. The idea of evasive data storage is that data moves around the sensor network instead of remaining at a fixed location. In this way, an adversary, who has once (through node capture) had access to the data stored at some particular node, must compromise more sensors in order to maintain his illegitimate access to the sensor data. We refine the previously published simple evasive data storage techniques in two ways: (1) we improve the efficiency of data retrieval by bounding the area in which data may move, (2) we introduce data splitting as a technique to protect against sleeper attacks in which the adversary simply takes over a subset of nodes and waits for valuable data to pass by. We demonstrate the effectiveness of our approach using extensive simulations.
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