An overview of artificial intelligence system security

Abstract

Abstract: The rapid development of artificial intelligence makes people pay more and more attention to the potential impact of artificial intelligence technology on society.In this paper, the basic components of artificial intelligence safety technology are introduced, and the research status at home and abroad is expounded from the research direction of endogenous safety and derivative endogenous safety.In terms of technology, the security challenges of machine learning due to reward function, data change and algorithm exploration are analyzed.In terms of application, the ethical and legal issues worth studying and solving are proposed.From the perspective of national security, the autonomous controllability of the technology is proposed.Finally, the future research direction of artificial intelligence security is prospected.

Key words: artificial intelligence, safety, machine learning, deep learning

CHEN Lei, LI Yajing, . An overview of artificial intelligence system security[J]. Information and Communications Technology and Policy, 2021, 47(8): 56-63.

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URL: http://ictp.caict.ac.cn/EN/Y2021/V47/I8/56

References 24

[1]	匡立春, 刘鹤, 任义利, 等.人工智能在石油勘探开发中的应用及发展趋势[J].石油勘探开发,2021,48(1):1-14.
[2]	李伯，Q，李明，等。粉末冶金镍基丰合金F96 汽车砂轮动GH 加工表面轮生，加工表面质量研究[J].
[3]	李旭东，林晓珠，房炜桓，。MRI图像图像在神经疾病肿瘤病理学分析等中的应用研究[J]。制造业进展，2020，8（2）：。160-176诊断学理论与实践，2017,16（601-606。）
[4]	吉尔Y，格里夫斯的男，亨德勒Ĵ等人用人工智能放大科学发现[J].科学，346（6206）：171-172
[5]	刘海, 李兴华, 雒彬, 等基于.区块链的匿名 K 位置隐私保护方案[J]郾计算机学报, 2019,42(5):942-960 [6]张丰菊，[][6]李玉，熊瑛郾强化有晶状体眼后房型人造晶状体术安全中华近视眼和散光的性[J].科杂志，2021，57（2）：86-89。
[7]	董旭，麦金太尔S H.2个时代机器技术辉煌时代的工作、进步与商业[J]：创业金融，201414（11）：380-383.
[8]	自主武器：来自人工智能和机器人研究人员的非公开信[J].计算的未来，2015。
[10]	Northey男，Jewinski J.Superintelligence：路径，危险，策略[M]，2014。
[11]	弗拉纳根 MP Shearer P Shearer S、sP 和 pP 前带冲近公里冲撞体产生的俯仰 410 地震速度不连续性的扭曲[J].地球物理研究杂志：地球物理研究, 1998, 103 (B9)。
[12]	Park JS, Kim M S.Design and implementation of an SNMP-Based Traffic Flooding Attack detection system [C] // Asia-pacific Network Operations & Management Symposium.Springer, Berlin, Heidelberg, 2008.
[13]	张 Y, 牛 B. 轻量级应用作业管理系统的设计与实现[J].科学技术与应用, 2019.
[14]	Park JS, Kim M S. 基于 SNMP 的流量泛洪攻击检测系统的设计与实现[C]] //亚太网络运营与管理研讨会.Springer, Berlin, Heidelberg, 2008.
[15]	Ding K, Ding S, Morozov A, et al.网络时间序列数据的在线检测和缓解方法系统使用基于深度学习的[C] //2019 15 届欧洲可靠计算会议(EDCC).IEEE，2019。
[16]	Ramchandran A. 高维数据的无监督异常检测——探索性分析[J] , 2018:233-251。
[17]	Lee CK, Cheon YJ, Hwang W Y.基于GAN的时间序列异常数据检测方法研究[J].IEEE Access,2021(99):1-1.
[18]	张晓，沉C，郭晓，等.ASFP（Artificial Intelligence based Scoring Function Platform）：用于开发定制评分函数的Web服务器[J].化学信息学报，2021，13（1）。
[19]	] ] Wang Y, Yang Y, Yao Y. 用于内河航道船舶检测的Single shot multibox detection [J].哈尔滨工程大学学报，2019.
[20]	Adams N.Dataset shift in machine learning [J]. Blackwell Publishing Ltd, 2010, 173(1):274-274。
[21]	Tokic M, Palm G.基于价值差异的探索：epsilon-greedy 和 softmax 之间的习惯控制[C] // 人工智能年会。斯普林格，柏林，海德堡，2011 年。
[22]	Cicali EJ、Weitzel KWElsey AR等。多基因对跨门诊医疗环境的临床药物遗传学实施的挑战和经验教训[J]．医学遗传学，2019.
[23]	阙天舒,张腾纪.把握时代下的国家安全生态[J].新华月报,2019(3):114-116.
[24]	买合木提江·阿不都热合曼郾人工智能在网络安全防御中的应用[J].计算机与网络, 2020, 46(7):56.

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