Special Topic: XAI-Enabled Network Automation for 5G and Beyond: Move Closer to Zero-Touch
SCIS Selected Articles on Network Security
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Path signature-based XAI-enabled network time series classification
Sun, Le; Wang, Yueyuan; Ren, Yongjun; Xia, Feng
Sci China Inf Sci, 2024, 67(7): 170305
Keywords: network time series classification; explainable artificial intelligence; path signature; automated network management; recurrent neural network
Cite as: Sun L, Wang Y Y, Ren Y J, et al. Path signature-based XAI-enabled network time series classification. Sci China Inf Sci, 2024, 67(7): 170305, doi: 10.1007/s11432-023-3978-y
SCIS Selected Articles on Network Security
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Blockchain-based vehicular edge computing networks: the communication perspective
He, Lin; Li, Fuchang; Xu, Haikun; Xia, Wenbo; Zhang, Xuefei; Tao, Xiaofeng
Sci China Inf Sci, 2023, 66(7): 172301
Keywords: block propagation; blockchain; consensus; VEC network
Cite as: He L, Li F C, Xu H K, et al. Blockchain-based vehicular edge computing networks: the communication perspective. Sci China Inf Sci, 2023, 66(7): 172301, doi: 10.1007/s11432-022-3658-7
SCIS Selected Articles on Network Security
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Keywords: Federated learning; Differential Privacy; Generative Adversarial Networks; Membership Inference Attack; Privacy Enhancing Technique
Cite as: Li J, Wei K, Ma C, et al. DP-GenFL: a local differentially private federated learning system through generative data. Sci China Inf Sci, 2023, 66(8): 189303, doi: 10.1007/s11432-022-3678-7
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SCIS Selected Articles on Network Security
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Intelligent reflecting surface assisted untrusted NOMA transmissions: a secrecy perspective
Wang, Dawei; Li, Xuanrui; He, Yixin; Zhou, Fuhui; Wu, Qihui
Sci China Inf Sci, 2023, 66(9): 192302
Keywords: intelligent reflecting surface; non-orthogonal multiple access; security; untrusted users
Cite as: Wang D W, Li X R, He Y X, et al. Intelligent reflecting surface assisted untrusted NOMA transmissions: a secrecy perspective. Sci China Inf Sci, 2023, 66(9): 192302, doi: 10.1007/s11432-022-3653-y
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Modulated symbol-based one-time pad secure transmission scheme using physical layer keys
Hu, Xiaoyan; Wan, Zheng; Huang, Kaizhi; Jin, Liang; Yan, Mengyao; Chen, Yajun; Yang, Jinmei
Sci China Inf Sci, 2024, 67(1): 112303
Keywords: physical layer security; one-time pad; wireless channel; physical layer encryption; perfect secrecy
Cite as: Hu X Y, Wan Z, Huang K Z, et al. Modulated symbol-based one-time pad secure transmission scheme using physical layer keys. Sci China Inf Sci, 2024, 67(1): 112303, doi: 10.1007/s11432-022-3768-8
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A DHR executor selection algorithm based on historical credibility and dissimilarity clustering
Shao, Sisi; Ji, Yimu; Zhang, Weili; Liu, Shangdong; Jiang, Fei; Cao, Zhigang; Wu, Fei; Zeng, Fukang; Zuo, Jun; Zhou, Longfei
Sci China Inf Sci, 2023, 66(11): 212304
Keywords: endogenous security; mimic defense; DHR; executor selection; historical credibility
Cite as: Shao S S, Ji Y M, Zhang W L, et al. A DHR executor selection algorithm based on historical credibility and dissimilarity clustering. Sci China Inf Sci, 2023, 66(11): 212304, doi: 10.1007/s11432-022-3635-2
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FUSE: a federated learning and U-shape split learning-based electricity theft detection framework
Li, Xuan; Wang, Naiyu; Zhu, Liehuang; Yuan, Shuai; Guan, Zhitao
Sci China Inf Sci, 2024, 67(4): 149302
Keywords: federated Learning; electricity theft detection; smart grid; split learning; computational overhead; privacy-preserving
Cite as: Li X, Wang N Y, Zhu L H, et al. FUSE: a federated learning and U-shape split learning-based electricity theft detection framework. Sci China Inf Sci, 2024, 67(4): 149302, doi: 10.1007/s11432-023-3946-x
Special Topic: XAI-Enabled Network Automation for 5G and Beyond: Move Closer to Zero-Touch
SCIS Selected Articles on Network Security
SCIS Selected Articles on AI for Network
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XRL-SHAP-Cache: an explainable reinforcement learning approach for intelligent edge service caching in content delivery networks
Xu, Xiaolong; Wu, Fan; Bilal, Muhammad; Xia, Xiaoyu; Dou, Wanchun; Yao, Lina; Zhong, Weiyi
Sci China Inf Sci, 2024, 67(7): 170303
Keywords: deep reinforcement learning; DRL; explainable artificial intelligence; XAI; multi-level cache; content delivery network; CDN; D3QN algorithm; Deep-SHAP
Cite as: Xu X L, Wu F, Bilal M, et al. XRL-SHAP-Cache: an explainable reinforcement learning approach for intelligent edge service caching in content delivery networks. Sci China Inf Sci, 2024, 67(7): 170303, doi: 10.1007/s11432-023-3987-y
Special Topic: XAI-Enabled Network Automation for 5G and Beyond: Move Closer to Zero-Touch
SCIS Selected Articles on Network Security
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HEN: a novel hybrid explainable neural network based framework for robust network intrusion detection
Wei, Wei; Chen, Sijin; Chen, Cen; Wang, Heshi; Liu, Jing; Cheng, Zhongyao; Zou, Xiaofeng
Sci China Inf Sci, 2024, 67(7): 170304
Keywords: explainable artificial intelligence; light gradient boosting machine; machine learning; network intrusion detection; Shapley additive explanation; hybrid explainable neural network; HEN
Cite as: Wei W, Chen S J, Chen C, et al. HEN: a novel hybrid explainable neural network based framework for robust network intrusion detection. Sci China Inf Sci, 2024, 67(7): 170304, doi: 10.1007/s11432-023-4067-x
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Identifying malicious traffic under concept drift based on intraclass consistency enhanced variational autoencoder
Luo, Xiang; Liu, Chang; Gou, Gaopeng; Xiong, Gang; Li, Zhen; Fang, Binxing
Sci China Inf Sci, 2024, 67(8): 182302
Keywords: concept drift; malicious traffic identification; variational autoencoder; intrusion detection; cyberspace security
Cite as: Luo X, Liu C, Gou G P, et al. Identifying malicious traffic under concept drift based on intraclass consistency enhanced variational autoencoder. Sci China Inf Sci, 2024, 67(8): 182302, doi: 10.1007/s11432-023-4010-4
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Multi-party privacy-preserving decision tree training with a privileged party
Tong, Yiwen; Feng, Qi; Luo, Min; He, Debiao
Sci China Inf Sci, 2024, 67(8): 182303
Keywords: privacy protection; decision trees; secure multi-party computation; secret sharing; privileged party
Cite as: Tong Y W, Feng Q, Luo M, et al. Multi-party privacy-preserving decision tree training with a privileged party. Sci China Inf Sci, 2024, 67(8): 182303, doi: 10.1007/s11432-023-4013-x
