《Security and Safety》

作品数：72被引量：21H指数：3
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《Security and Safety》
主办单位：中国科技出版传媒股份有限公司
最新期次：2024年4期更多>>
发文主题：SECURITYSAFETYENDOGENOUSNETWORKAUTHENTICATION更多>>
发文领域：自动化与计算机技术电子电信航空宇航科学技术交通运输工程更多>>
发文基金：国家自然科学基金上海市自然科学基金上海市青年科技启明星计划福建省自然科学基金更多>>
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Supervised and revocable decentralized identity privacy protection scheme
《Security and Safety》2024年第4期113-135,共23页Jing He Xiaofeng Ma Dawei Zhang Feng Peng 
supported by the National Key Research and Development Program of China. Research on Reliable Regulatory Technology Based on Blockchain of Regional Equity Market (2021YFC3340600)
Decentralized identity represents an innovative approach based on blockchain to achieve efective identity management. This method utilizes decentralized identifiers and verifiable credentials to enable trusted authent...
关键词：Blockchain Decentralized identity Privacy protection SUPERVISION Anonymous credential Zero-knowledge proof 
Harnessing dynamic heterogeneous redundancy to empower deep learning safety and security
《Security and Safety》2024年第4期86-112,共27页Fan Zhang Xi Chen Wei Huang Jiangxing Wu Zijie Zhang Chenyu Zhou Jianpeng Li Ziwen Peng Wei Guo Guangze Yang Xinyuan Miao Ruiyang Huang Jiayu Du 
supported by the National Key Research and Development Program of China (Project No.2022YFB4500900);the Jiangsu Provincial Department of Science and Technology (Project No. ZL042401)
The rapid development of deep learning(DL) models has been accompanied by various safety and security challenges, such as adversarial attacks and backdoor attacks.By analyzing the current literature on attacks and def...
关键词：Deep learning Endogenous security Dynamic heterogeneous redundancy AI safety 
A requirements model for AI algorithms in functional safety-critical systems with an explainable self-enforcing network from a developer perspective
《Security and Safety》2024年第4期61-85,共25页Christina Klüver Anneliesa Greisbach Michael Kindermann Bernd Püttmann 
The requirements for ensuring functional safety have always been very high.Modern safety-related systems are becoming increasingly complex, making also the safety integrity assessment more complex and time-consuming. ...
关键词：Functional safety Safety-critical systems Requirements for AI methods Explainable self-enforcing networks(SEN) 
VAEFL: Integrating variational autoencoders for privacy preservation and performance retention in federated learning
《Security and Safety》2024年第4期44-60,共17页Zhixin Li Yicun Liu Jiale Li Guangnan Ye Hongfeng Chai Zhihui Lu Jie Wu 
supported by the Yangtze River Delta Science and Technology Innovation Community Joint Research Project (2022CSJGG0800);the Shanghai Science and Technology Project (22510761000)
Federated Learning(FL) heralds a paradigm shift in the training of artificial intelligence(AI) models by fostering collaborative model training while safeguarding client data privacy. In sectors where data sensitivity...
关键词：Federated learning variational autoencoders deep leakage from gradients AI model security privacy preservation 
Robust object detection for autonomous driving based on semi-supervised learning
《Security and Safety》2024年第4期18-43,共26页Wenwen Chen Jun Yan Weiquan Huang Wancheng Ge Huaping Liu Huilin Yin 
supported by the National Natural Science Foundation of China under Grant No. 61701348 and No. 62133011
Deep learning based on labeled data has brought massive success in computer vision, speech recognition, and natural language processing. Nevertheless, labeled data is just a drop in the ocean compared with unlabeled d...
关键词：Adversarial attack ROBUSTNESS autonomous driving object detection semisupervised learning 
Safety-critical nonlinear optimal predictive control with adaptive error elimination algorithm for robotic system
《Security and Safety》2024年第4期6-17,共12页Helin Wang 
supported by the National Natural Science Foundation of China (No. 61573260,No. 62073245,No. U1713211)
Safety-critical control enables intelligent robots to have better secure operation and resistance to adverse environments, hence greatly enhancing their interaction and adaptability to the environment. In this paper, ...
关键词：Nonlinear optimal predictive control Safety-critical control scheme Robotic system Adaptive error elimination algorithm 
Preface: Security and safety in artificial intelligence
《Security and Safety》2024年第4期4-5,共2页Hao Zhang Yu-Gang Jiang Claudio Melchiorri Gerhard Rigoll 
This special topic centers on cutting-edge advancements in the security and safety of artificial intelligence(AI),with a focus on critical applications across domains such as autonomous systems,federated learning,and ...
关键词：artificial HARDWARE AUTONOMOUS 
Behavioral authentication for security and safety
《Security and Safety》2024年第3期50-85,共36页Cheng Wang Hao Tang Hangyu Zhu Junhan Zheng Changjun Jiang 
supported in part by the National Natural Science Foundation of China (NSFC) under Grant 62372328;in part by the National Key Research and Development Program of China under Grant 2022YFB4501704;in part by the Program of Shanghai Academic Research Leader under Grant 22XD1423700;in part by the Shanghai Science and Technology Innovation Action Plan Project under Grant 22511100700;in part by the Leadership Project under the Oriental Talent Program;in part by the Open Fund of Key Laboratory of Industrial Internet of Things and Networked Control,Ministry of Education,under Grant 2021FF08
The issues of both system security and safety can be dissected integrally from the perspective of behavioral appropriateness. That is, a system that is secure or safe can be judged by whether the behavior of certain a...
关键词：behavioral authentication security and safety behavior modeling anomaly detection machine learning artificial intelligence 
On cultivation of cybersecurity and safety talents and responsible developers
《Security and Safety》2024年第3期29-49,共21页Jiangxing Wu Hong Zou Jiaxi Chen Fan Zhang Yuting Shang Xinsheng Ji 
supported by the Chinese Academy of Engineering Strategic Research and Consulting Program (No. 2023-XZ-11)
To address the serious imbalance between the supply and demand of the cybersecurity workforce, this paper proposes to embrace the latest trend of a fundamental shift in the“underlying dynamics of the digital ecosyste...
关键词：Security and safety Talent cultivation system CYBERSECURITY Endogenous Security and Safety(ESS)theory 
RiskTree: Decision trees for asset and process risk assessment quantification in big data platforms
《Security and Safety》2024年第3期8-28,共21页Haomou Zhan Jiawei Yang Zhenyang Guo Jin Cao Dong Zhang Xingwen Zhao Wei You Hui Li 
supported by the National Key R&D Program of China(No.2022YFB3103401);the National Natural Science Foundation of China(No.62172317,U23B2024)
Currently, big data platforms are widely applied across various industries. These platforms are characterized by large scale, diverse forms, high update frequency, and rapid data flow, making it challenging to directl...
关键词：Big data platform Quantitative risk assessment Machine learning Big data platform Quantitative risk assessment Machine learning 
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