Interpretation of the Top 10 Development Trends of Network Security in 2022 by CCF Computer Security Professional Committee

doi:10.3969/j.issn.1671-1122.2022.04.001

Abstract

Abstract:

This paper interpretes the development trends, and discusses that the network security trend is greatly affected by the policy, and analyzes the reasons why the trends such as network vehicle security and audio and video deepfake fail to be on the list of the top 10 development trends. Compared with the top 10 development trends in 2021, it can tell that the Data Security Law(DSL) and Personal Information Protection Law(PIPL) of the People's Republic of China, Key Information Infrastructure Security Protection Regulations are selected, and the attention to the DSL and PIPL is obviously raised this year.

Key words: network security, data security, personal private protection, digital economy

CLC Number:

TP309

JIN Bo, TANG Qianjin, TANG Qianlin. Interpretation of the Top 10 Development Trends of Network Security in 2022 by CCF Computer Security Professional Committee[J]. Netinfo Security, 2022, 22(4): 1-6.

References 8

[1]	CCF Computer Security Professional Committee Released the Prediction of the Top 10 Development Trends of Network Security in 2021[J]Netinfo Security, 2021, 21(4): 96.
	CCF计算机安全专委会发布2021年网络安全十大发展趋势预测[J]. 信息网络安全, 2021, 21(4):96.
[2]	GUO Qian. CCF Computer Security Professional Committee Released the Top 10 Development Trends of Network Security in 2022[N]. Economic Information Daily, 2022-02-24( 7).
	郭倩. CCF计算机安全专委会发布2022年网络安全十大发展趋势[N]. 经济参考报, 2022-02-24( 7).
[3]	FANG Binxing, SHI Jinqiao, WANG Zhongru, et al. AI-Enabled Cyberspace Attacks: Security Risks and Countermeasures[J]. China Engineering Science, 2021, 23(3): 60-66.
	方滨兴, 时金桥, 王忠儒, 等. 人工智能赋能网络攻击的安全威胁及应对策略[J]. 中国工程科学, 2021, 23(3):60-66.
[4]	MA Xiao, CAI Manchun, LU Tianliang. Malicious Domain Name Training Data Generation Technology Based on Improved CNN Model[J]. Netinfo Security, 2021, 21(10): 69-75.
	马骁, 蔡满春, 芦天亮. 基于CNN改进模型的恶意域名训练数据生成技术[J]. 信息网络安全, 2021, 21(10):69-75.
[5]	CHEN Lei, LIU Wenmao. Frontiers and Applications of Data Security Technology from the Perspective of Compliance[J]. Frontier of Data and Computing Development, 2021, 3(3): 19-31.
	陈磊, 刘文懋. 合规视角下的数据安全技术前沿与应用[J]. 数据与计算发展前沿, 2021, 3(3):19-31.
[6]	Privacy Enhanced Computing was Selected as Gartner’s “Top 12 Technology Trends in 2022”[EB/OL].(2022-01-28)[2022-02-01] https://new.qq.com/omn/20220128/20220128A045BD00.html .
	隐私增强计算,入选Gartner“2022年12大技术趋势”[EB/OL]. (2022-01-28)[2022-02-01]. https://new.qq.com/omn/20220128/20220128A045BD00.html .
[7]	LIANG min, LUO Yiyuan, LIU miFengmein. A Survey on Quantum-Secure Symmetric Cryptography[J]. Journal of Cryptography, 2021, 8(6): 925-947.
	梁敏, 罗宜元, 刘凤梅. 抗量子计算对称密码研究进展概述[J]. 密码学报, 2021, 8(6):925-947.
[8]	Research Report on the Development and Application of Quantum Information Technology Issued by China Academy of Information Technology[J]. Netinfo Security, 2022, 22(1): 95.
	中国信通院发布《量子信息技术发展与应用研究报告》[J]. 信息网络安全, 2022, 22(1):95.

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