基于中间人的物联网弹性密钥交换协议

IF 3.5 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Internet of Things Pub Date : 2023-11-20 DOI:10.1145/3632408
Zhangxiang Hu, Jun Li, Christopher Wilson
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引用次数: 0

摘要

由于物联网(IoT)设备的资源有限,对称密钥加密(SKC)通常比资源密集型公钥加密(PKC)更受青睐,以确保物联网设备之间的通信安全。要使用 SKC,设备需要执行密钥交换协议,以便在启动通信前建立会话密钥。然而,现有的基于 SKC 的密钥交换协议假定通信设备之间有一个预先共享的秘密或存在可信的中间人,但这两种情况在物联网中都不现实。我们为物联网设备引入了一种新的基于 SKC 的密钥交换协议。虽然我们的协议也是基于中介的,但它与现有的基于中介的解决方案有本质区别,因为两个密钥交换设备之间的中介可能是恶意的,而且我们的协议可以检测作弊行为并识别恶意中介。我们证明了我们的协议在普遍可组合模型下是安全的,并证明它能以 1.0 的概率检测到恶意中间人。我们在不同的物联网设备上实施并评估了我们的协议。结果表明,我们的协议在计算时间和能源成本方面都有显著改善。与基于 PKC 的 ECDH、DH 和 RSA 协议相比,我们的协议在两台密钥交换设备中的一台上要快 2.3 到 1591 倍,在另一台上要快 0.7 到 4.67 倍。
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Resilient Intermediary‐Based Key Exchange Protocol for IoT
Due to the limited resources of Internet of Things (IoT) devices, Symmetric Key Cryptography (SKC) is typically favored over resource-intensive Public Key Cryptography (PKC) to secure communication between IoT devices. To utilize SKC, devices need to execute a key exchange protocol to establish a session key before initiating communication. However, existing SKC-based key exchange protocols assume communication devices have a pre-shared secret or there are trusted intermediaries between them; neither is always realistic in IoT. We introduce a new SKC-based key exchange protocol for IoT devices. While also intermediary-based, our protocol fundamentally departs from existing intermediary-based solutions in that intermediaries between two key exchange devices may be malicious, and moreover, our protocol can detect cheating behaviors and identify malicious intermediaries. We prove our protocol is secure under the universally composable model, and show it can detect malicious intermediaries with probability 1.0. We implemented and evaluated our protocol on different IoT devices. We show our protocol has significant improvements in computation time and energy cost. Compared to the PKC-based protocols ECDH, DH, and RSA, our protocol is 2.3 to 1591 times faster on one of the two key exchange devices and 0.7 to 4.67 times faster on the other.
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CiteScore
5.20
自引率
3.70%
发文量
0
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