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Cyber security meets artificial intelligence: a survey Review Article

Jian-hua LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 12,   Pages 1462-1474 doi: 10.1631/FITEE.1800573

Abstract:

There is a wide range of interdisciplinary intersections between cyber security and artificial intelligenceOn one hand, AI technologies, such as deep learning, can be introduced into cyber security to constructsmart models for implementing malware classification and intrusion detection and threating intelligenceThus, AI models need specific cyber security defense and protection technologies to combat adversarialBased on the above two aspects, we review the intersection of AI and cyber security.

Keywords： Cyber security     Artificial intelligence (AI)     Attack detection     Defensive techniques    

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Development of Content Security Based on Artificial Intelligence

Zhu Shiqiang, Wang Yongheng

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 67-74 doi: 10.15302/J-SSCAE-2021.03.004

Abstract: The recent development of artificial intelligence (AI) has had a very important impact on content securityIn this article, we summarize the research status and development trends of AI-based content securitycontent security.This study proposes to build the world’s leading AI-based content security system through a three-step, hybrid enhanced intelligence, and knowledge-driven content security.

Keywords： artificial intelligence (AI)，content security，system construction    

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Artificial Intelligence Security in Multiple-Unmanned System Cooperation

Shi Wen, Wang Kaiwen, Yu Chengpu, Sun Jian, Chen Jie

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 82-89 doi: 10.15302/J-SSCAE-2021.03.007

Abstract: nbsp;Multiple unmanned system cooperation is an important component of China’s new-generation artificialintelligence (AI) planning and it is a transformative technology for future national defense constructionsecurity is still in its infancy.Promoting multiple unmanned system cooperation enables AI application and risk control.levels, and propose several suggestions regarding the security of intelligent unmanned systems.

Keywords： multiple unmanned system cooperation，artificial intelligence (AI) security，security risk prevention and    

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Artificial Intelligence Enabled Cyberspace Security Defense

Jia Yan, Fang Binxing, Li Aiping, Gu Zhaoquan

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 98-105 doi: 10.15302/J-SSCAE-2021.03.003

Abstract: Protecting cyberspace security is a major issue related to national security, national sovereignty, andWith the rapid development of artificial intelligence (AI) technology and its application in variousThis study analyzes the new risks of cyberspace security in the era of AI, such as more intelligent networkThis study introduces some key problems and technologies of AI-enabled cyberspace security defense, particularlytechnologies’ security.

Keywords： artificial intelligence (AI)，cyberspace security，cyber attacks，cyber defense    

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AI-Enabled Cyberspace Attacks: Security Risks and Countermeasures

Fang Binxing, Shi Jinqiao, Wang Zhongru, Yu Weiqiang

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 60-66 doi: 10.15302/J-SSCAE-2021.03.002

Abstract:

 Artificial intelligence (AI) brings significant societal progressThus, studying the security problems induced by the deep fusion of AI and cyberspace security becomesThese issues aggravate the existing security risks and trigger new threats.To effectively address the security threats of AI-enabled cyber attacks, we suggest that an intelligentSharing of AI security data assets should be encouraged to develop a data-centered path for AI-enabled

Keywords： artificial intelligence (AI)     cyber attack and defense     national security     autonomous collaboration    

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Industrial Application of Artificial Intelligence in China: Current Status and Challenges

Xu Wenwei, Xiao Lizhi, Liu He

Strategic Study of CAE 2022, Volume 24, Issue 6,   Pages 173-183 doi: 10.15302/J-SSCAE-2022.07.010

Abstract:

Deep learning has enhanced the versatility of artificial intelligence(AI) algorithms.In the last decade, the AI industry has been spawned and developing rapidly.technologies that focus on full-stack AI, AI basic platform and tool system, and AI root technology,thus to improve the independence of China's AI core technologies.

Keywords： artificial intelligence (AI)     enterprise scenarios     intelligent solutions     application     full-stack AI     AI root technology    

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Multiple Knowledge Representation of Artificial Intelligence

Yunhe Pan

Engineering 2020, Volume 6, Issue 3,   Pages 216-217 doi: 10.1016/j.eng.2019.12.011

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Artificial intelligence algorithms for cyberspace security applications: a technological and status review Review

Jie CHEN, Dandan WU, Ruiyun XIE,chenjie1900@mail.nwpu.edu.cn,wudd@cetcsc.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 8,   Pages 1117-1142 doi: 10.1631/FITEE.2200314

Abstract: situation, and the effectiveness of security defense strategy optimization.algorithms have become the core means to increase the chance of security and improve the network attackRecently, the breakthrough and application of AI technology have provided a series of advanced approachesThis work presents a comprehensive review of AI technology articles for applications, mainly from 2017is intended to provide technical guidance for researchers who would like to obtain the potential of AI

Keywords： Artificial intelligence (AI)     Machine learning (ML)     Deep learning (DL)     Optimization algorithm     Hybridalgorithm     Cyberspace security    

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Development Strategy for the Core Software and Hardware of Artificial Intelligence in China

Gao Lei, Fu Yongquan, Li Dongsheng, Liao Xiangke

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 90-97 doi: 10.15302/J-SSCAE-2021.03.008

Abstract:

Artificial intelligence (AI) is an important enabling technology forPromoting AI core software and hardware technologies and industry is strategically significant for theIn this study, we summarize the development status of AI core hardware and software in China and abroadSubsequently, we present the development ideas of China’s AI hardware and software technology andcore hardware, AI core software, and AI-related basic technology.

Keywords： artificial intelligence (AI)     core software and hardware     AI chip     basic intelligent algorithm     new enabling    

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Artificial Intelligence Ethics Supervision in China: Demand Analysis and Countermeasures

Liu Lu, Yang Xiaolei, Gao Wen

Strategic Study of CAE 2021, Volume 23, Issue 3,   Pages 106-112 doi: 10.15302/J-SSCAE-2021.03.006

Abstract:

The rapid development of artificial intelligence (AI) industry is accompaniedAI supervision.and human rights, social trust crisis of AI, security of data and algorithms, as well as confirmationon the technical progress of AI.security, scientific and technological ethics supervision organizations of multiple levels should be

Keywords： artificial intelligence (AI)     governance structure     ethical supervision     ethics committee    

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Crowd intelligence in AI 2.0 era Review

Wei LI,Wen-jun WU,Huai-min WANG,Xue-qi CHENG,Hua-jun CHEN,Zhi-hua ZHOU,Rong DING

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 15-43 doi: 10.1631/FITEE.1601859

Abstract: based cyber-physical world has profoundly changed the information environment for the development of artificialintelligence (AI), bringing a new wave of AI research and promoting it into the new era of AI 2.0.As one of the most prominent characteristics of research in AI 2.0 era, crowd intelligence has attractedSpecifically, crowd intelligence provides a novel problem-solving paradigm through gathering the intelligenceIn this paper, we survey existing studies of crowd intelligence.

Keywords： Crowd intelligence     Artificial intelligence 2.0     Crowdsourcing     Human computation    

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After Artificial Intelligence Breaks Longstanding Matrix Multiplication Records, Humans Quickly Do Better

Dana Mackenzie

Engineering 2023, Volume 28, Issue 9,   Pages 1-3 doi: 10.1016/j.eng.2023.07.002

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FinBrain: when finance meets AI 2.0 Review Articles

Xiao-lin ZHENG, Meng-ying ZHU, Qi-bing LI, Chao-chao CHEN, Yan-chao TAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7,   Pages 914-924 doi: 10.1631/FITEE.1700822

Abstract:

Artificial intelligence (AI) is the core technology of technological revolution and industrial transformationAs one of the new intelligent needs in the AI 2.0 era, financial intelligence has elicited much attentionIn this paper, we survey existing studies on financial intelligence.in wealth management, risk management, financial security, financial consulting, and blockchain.We believe that these research directions can lay the foundation for the development of AI 2.0 in the

Keywords： Artificial intelligence     Financial intelligence    

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Application of AI techniques in monitoring and operation of power systems

David Wenzhong GAO, Qiang WANG, Fang ZHANG, Xiaojing YANG, Zhigang HUANG, Shiqian MA, Qiao LI, Xiaoyan GONG, Fei-Yue WANG

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 71-85 doi: 10.1007/s11708-018-0589-4

Abstract: In recent years, the artificial intelligence (AI) technology is becoming more and more popular in manyHowever, the application of AI techniques in power systems is still in its infancy.Therefore, in this paper, the application potentials of AI technologies in power systems will be discussedFor the power system operation, the problems, the demands, and the possible applications of AI techniquesnetwork (NN) for power flow analysis is provided as a simple example to demonstrate the viability of AI

Keywords： power system operation and monitoring     artificial intelligence (AI)     deep learning     power flow analysis    

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Supervision System of AI-based Software as a Medical Device

Zhang Jiannan,Li Yingying,Zhou Jiahui,Zhu Yelin,Li Lanjuan

Strategic Study of CAE 2022, Volume 24, Issue 1,   Pages 198-204 doi: 10.15302/J-SSCAE-2022.01.021

Abstract: Artificial intelligencebased software as a medical device (AI-Based SaMD) is an important product inthe health field enabled by artificial intelligence (AI).As AI develops further, its unique black box algorithm and independent learning ability have posed majorThis article summarizes the current status of supervision systems and supporting resources of AI-BasedIn addition, we explore the problems and challenges of AI-Based SaMD in China.

Keywords： software as a medical device (SaMD)，artificial intelligence (AI)，supervision science    

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Title Author Date Type Operation

Cyber security meets artificial intelligence: a survey

Jian-hua LI

Journal Article

Development of Content Security Based on Artificial Intelligence

Zhu Shiqiang, Wang Yongheng

Journal Article

Artificial Intelligence Security in Multiple-Unmanned System Cooperation

Shi Wen, Wang Kaiwen, Yu Chengpu, Sun Jian, Chen Jie

Journal Article

Artificial Intelligence Enabled Cyberspace Security Defense

Jia Yan, Fang Binxing, Li Aiping, Gu Zhaoquan

Journal Article

AI-Enabled Cyberspace Attacks: Security Risks and Countermeasures

Fang Binxing, Shi Jinqiao, Wang Zhongru, Yu Weiqiang

Journal Article

Industrial Application of Artificial Intelligence in China: Current Status and Challenges

Xu Wenwei, Xiao Lizhi, Liu He

Journal Article

Multiple Knowledge Representation of Artificial Intelligence

Yunhe Pan

Journal Article

Artificial intelligence algorithms for cyberspace security applications: a technological and status review

Jie CHEN, Dandan WU, Ruiyun XIE,chenjie1900@mail.nwpu.edu.cn,wudd@cetcsc.com

Journal Article

Development Strategy for the Core Software and Hardware of Artificial Intelligence in China

Gao Lei, Fu Yongquan, Li Dongsheng, Liao Xiangke

Journal Article

Artificial Intelligence Ethics Supervision in China: Demand Analysis and Countermeasures

Liu Lu, Yang Xiaolei, Gao Wen

Journal Article

Crowd intelligence in AI 2.0 era

Wei LI,Wen-jun WU,Huai-min WANG,Xue-qi CHENG,Hua-jun CHEN,Zhi-hua ZHOU,Rong DING

Journal Article

After Artificial Intelligence Breaks Longstanding Matrix Multiplication Records, Humans Quickly Do Better

Dana Mackenzie

Journal Article

FinBrain: when finance meets AI 2.0

Xiao-lin ZHENG, Meng-ying ZHU, Qi-bing LI, Chao-chao CHEN, Yan-chao TAN

Journal Article

Application of AI techniques in monitoring and operation of power systems

David Wenzhong GAO, Qiang WANG, Fang ZHANG, Xiaojing YANG, Zhigang HUANG, Shiqian MA, Qiao LI, Xiaoyan GONG, Fei-Yue WANG

Journal Article

Supervision System of AI-based Software as a Medical Device

Zhang Jiannan,Li Yingying,Zhou Jiahui,Zhu Yelin,Li Lanjuan

Journal Article