In this paper, we propose a novel Multi-keyword Fuzzy Symmetric Searchable Encryption (SSE) with patterns hidden, namely MFSSE. In MFSSE, the search trapdoor can be modified differently each time even if the keywords are the same when performing multi-keyword search to prevent the leakage of search patterns. Moreover, MFSSE modifies the search trapdoor by introducing random false negative and false positive errors to resist access pattern leakage. Furthermore, MFSSE utilizes efficient cryptographic algorithms (e.g., Locality-Sensitive Hashing) and lightweight operations (such as, integer addition, matrix multiplication, etc.) to minimize computational and communication, and storage overheads on mobile devices while meeting security and functional requirements. Specifically, its query process requires only a single round of communication, in which, the communication cost is linearly related to the number of the documents in the database, and is independent of the total number of keywords and the number of queried keywords; its computational complexity for matching a document is$O(1)$; and it requires only a small amount of fixed local storage (i.e., secret key) to be suitable for mobile scenarios. The experimental results demonstrate that MFSSE can prevent the leakage of access patterns and search patterns, while keeping a low communication and computation overheads.

In edge computing, terminal devices can offload intensive computing tasks to edge servers to obtain high-performance computing services with low latency. Introducing unmanned aerial vehicles (UAVs) as relays can improve transmission efficiency. However, with the continuous expansion of UAVs' scale, resource management issues need to be solved urgently. In this paper, we study the anti-jamming channel assignment problem in the presence of multiple intelligent jammers for UAV-enabled edge computing scenarios. Each user is an offload-receive (or offload-relay-receive) pair of a computing task. Considering the mutual interference between users and the malicious jamming from smart jammers, we construct a multi-layer Stackelberg game model: the jammer is the leader, and the user is the follower. The user and the jammer consider their utility respectively, achieve the equilibrium state through iterations, and then obtain the optimal channel access scheme. Finally, we analyze the convergence and superiority of the proposed algorithm through simulation and performance comparison.