Privacy-Preserving Encrypted Traffic Inspection With Symmetric Cryptographic Techniques in IoT
Dajiang Chen, Hao Wang, Ning Zhang, Xuyun Nie, Hong‐Ning Dai, Kuan Zhang, Kim‐Kwang Raymond Choo
Abstract
To ensure the security of Internet of Things (IoT) communications, one can use deep packet inspection (DPI) on network middleboxes to detect and mitigate anomalies and suspicious activities in network traffic of IoT, although doing so over encrypted traffic is challenging. Therefore, in this article, an efficient and privacy-preserving encrypted traffic detection scheme is proposed. The scheme uses only lightweight cryptographic operations (i.e., symmetric encryption, hash functions, and pseudorandom functions) to achieve both privacy and security within an inspection round. A dispute resolution mechanism is also designed to address potential disputes between client(s) and server(s). We also present the corresponding security proof and experimental evaluation, which demonstrate that our proposed scheme achieves strong security and privacy preservation and good performance.