作为未来无线移动通信系统的典型架构，分层异构网络以其模块化、灵活性和可扩展性等特点，适应着未来移动大数据与智慧网络不断增长的需求。由于无线移动网络的传输开放性和接入用户的多样性与动态性，数据安全传输问题应运而生。研究者引入了合作干扰应对窃听者截取数据。但当前研究并未将网络层传输协议及节点属性等引入系统级的安全策略设计。基于此，课题组认为有必要针对未来无线移动通信网络大规模数据传输的安全问题，设计相应的合作干扰策略，满足系统级物理层安全性能指标。具体来说包括：（1）针对大规模MIMO和非正交多址等技术，设计满足异构网跨层次多用户场景的合作干扰安全传输策略；（2）基于合作干扰节点可信度，分析物理层安全性能，设计激励机制满足网络安全需求；（3）根据网络层传输协议，制定基于分组内容的间歇性干扰策略；（4）考虑窃听者信道状态信息完全未知的假设，分析共谋窃听情况的安全性并设计相应的合作干扰策略。

A multi-tiered heterogeneous networking architecture for future mobile communication systems is aimed for wirelessly transporting a large amount of data for its modularity, flexibility and scalability. Grand challenges exist to secure big data in wireless transmission systems due to the broadcast nature of the underlying communication channel as well as diversified and dynamic properties of users. It is well-known that cooperative jamming based physical layer security can be employed to prevent eavesdroppers from obtaining legitimate signals. Yet, existing works on this issue do not introduce network layer transport protocols and node attributes into the system-level security strategies design. Accordingly, in order to achieve the system-level performance, we suggest designing and optimizing novel cooperative jamming strategies for future wireless mobile communication networks. Our proposed research is summarized by the following four thrusts: (1) to design novel cooperative jamming strategies to improve secure requirements in multi-user multi-tiered heterogeneous networks with massive Multiple-Input Multiple-Output and Non-Orthogonal Multiple Access; (2) to analyze secure performance based on the trust degree of cooperative jamming nodes and to design incentive mechanisms to cope with untrusted cooperative jamming; (3) to formulate packet context-aware intermittent jamming strategies based on network layer transport protocols; (4) to design novel physical layer security strategies to handle collusive eavesdroppers with completely unknown channel state information of eavesdroppers.