An Efficient Malicious Code Detection System Based on Convolutional Neural Networks. - Dongzhi Cao; Xinglan Zhang; Zhenhu Ning; Jianfeng Zhao; Fei Xue; Yongli Yang (CSAI/ICIMT, 2018)

Detection and fine-grained classification of malicious code using convolutional neural networks and swarm intelligence algorithms. - Dongzhi Cao; Xinglan Zhang; Yang Cao; Yuehan Wang; Weixin Liu (Int. J. Wirel. Mob. Comput., 2020)

A Heterogeneous IoT Node Authentication Scheme Based on Hybrid Blockchain and Trust Value. - Shiqiang Zhang; Yang Cao 022; Zhenhu Ning; Fei Xue; Dongzhi Cao; Yongli Yang (KSII Trans. Internet Inf. Syst., 2020)

An Effective Data Balancing Strategy Based on Swarm Intelligence Algorithm for Malicious Code Detection and Classification. - Dongzhi Cao; Zhenhu Ning; Shiqiang Zhang; Jianli Liu (BIC-TA (1), 2021)

Efficient Verification of N-GHZ State in Quantum Wireless Network Communication. - Yongli Yang; Zhenhu Ning; Shiqiang Zhang; Dongzhi Cao (ICDSP, 2021)

A decentralized and reliable trust measurement for edge computing enabled Internet of Things. - Shiqiang Zhang; Dongzhi Cao; Zhenhu Ning (Concurr. Comput. Pract. Exp., 2022)

Stability-based On-demand Multi-path Distance Vector Protocol for Edge Internet of Things. - Dongzhi Cao; Peng Liang 026; Tongjuan Wu; Shiqiang Zhang; Zhenhu Ning (KSII Trans. Internet Inf. Syst., 2023)

A blockchain-based provably secure anonymous authentication for edge computing-enabled IoT. - Shiqiang Zhang; Dongzhi Cao (J. Supercomput., 2024)

Enhancing trust and security in IoT computing offloading through game theory and blockchain-based control strategy. - Dongzhi Cao; Peng Liang 026; Tongjuan Wu; Shiqiang Zhang; Li Zhou (Concurr. Comput. Pract. Exp., 2024)