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Security And Privacy

SCIE

国际简称：SECUR PRIVACY 参考译名：安全和隐私

中科院分区
3区
JCR分区
Q3

基本信息：: ISSN：2475-6725; 是否OA：未开放; 是否预警：否; TOP期刊：否

出版信息：: 出版地区：United States; 出版商：John Wiley and Sons Inc; 出版语言：None; 研究方向：Multiple

评价信息：: 影响因子：2.9

发文数据：: Gold OA文章占比：12.16%; 研究类文章占比：93.96%; 年发文量：182; 自引率：0.0526...; 开源占比：0.0741; 出版撤稿占比：; 出版国人文章占比：0; OA被引用占比：

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英文简介期刊介绍中科院SCI分区 JCR分区发文数据常见问题

英文简介Security And Privacy期刊介绍

Security and Privacy "is an international academic journal dedicated to the field of information security and privacy protection. This journal is published by Wiley Publishing and covers research on security at various levels, including theoretical analysis, system design, experimental evaluation, and privacy protection technologies. The goal of the journal is to promote scientific research in the fields of security and privacy, providing a forum for scholars, researchers, and industry experts to share the latest research findings and perspectives.

The content of the magazine is not limited to academic research, but also includes analysis of current security threats, evaluation of security solutions, and discussion of future security trends. The journal encourages interdisciplinary research to address increasingly complex security challenges and promote the integration of theory and practice. This journal adopts a peer review process to ensure that the published articles are of high quality and innovative. It provides an important resource for the global research community, helping to drive scientific progress in the fields of security and privacy, and providing guidance for practical applications. Magazine articles are widely cited and have a significant impact on both academia and industry.

期刊简介Security And Privacy期刊介绍

《Security And Privacy》是一本计算机科学优秀杂志。致力于发表原创科学研究结果，并为计算机科学各个领域的原创研究提供一个展示平台，以促进计算机科学领域的的进步。该刊鼓励先进的、清晰的阐述，从广泛的视角提供当前感兴趣的研究主题的新见解，或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道计算机科学领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单，目前已被权威数据库SCIE收录，得到了广泛的认可。

该期刊投稿重要关注点：

计算机科学
计算机信息系统
SCIE
中科院3区
非预警

中科院SCI分区Security And Privacy 中科院分区

《新锐期刊分区表》（2026年3月发布） 综述期刊：否 Top期刊：否

大类学科	分区	小类学科	分区
计算机科学	3区	COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机：信息系统 TELECOMMUNICATIONS 电信学	4区 3区

期刊分区表（2025年3月升级版） 综述期刊：否 Top期刊：否

大类学科	分区	小类学科	分区
计算机科学	4区	COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机：信息系统 TELECOMMUNICATIONS 电信学	4区 4区

中科院分区表 是以客观数据为基础，运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据，得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次，类似于“优、良、及格”等。最开始，这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Security And Privacy JCR分区

2025-2026年最新版

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS	ESCI	Q3	143 / 266	46.4
学科：TELECOMMUNICATIONS	ESCI	Q3	70 / 127	45.3
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS	ESCI	Q3	165 / 266	38.16
学科：TELECOMMUNICATIONS	ESCI	Q3	81 / 128	37.11

2023-2024年最新版

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS	ESCI	Q3	173 / 249	30.7
学科：TELECOMMUNICATIONS	ESCI	Q3	88 / 119	26.5
学科：COMPUTER SCIENCE, INFORMATION SYSTEMS	ESCI	Q3	181 / 251	28.09
学科：TELECOMMUNICATIONS	ESCI	Q4	91 / 119	23.95

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异，此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此，JCR将期刊按照学科门类和影响因子分为不同的分区，这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

本刊中国学者近年发表论文

1、A Predictive Deep Learning Model for Cyber Threat Detection in a Smart City Environmen
Author: Chen, Zhichao; Zhao, Lin; Yin, Guanghua

Journal: SECURITY AND PRIVACY. 2026; Vol. 9, Issue 3, pp. -. DOI: 10.1002/spy2.70218
2、Commercial Contract Generation Technology Based on Verifiable Encryption Signature Algorithm in Civil and Commercial La
Author: Huang, Lihong

Journal: SECURITY AND PRIVACY. 2026; Vol. 9, Issue 3, pp. -. DOI: 10.1002/spy2.70216
3、Improving Privacy and Utility in Aggregate Data: A Hybrid Approac
Author: Kofie, Samuel Nartey; Min-Zhang, Ivy; Chen, Kai; Percy, Wei

Journal: SECURITY AND PRIVACY. 2026; Vol. 9, Issue 2, pp. -. DOI: 10.1002/spy2.70176
4、A Secure Data Transmission Method for MEC Smart Devices Based on Oracle
Author: Chen, Lu; Zhang, Ting; Zhang, Jie; Zhang, De-Gan; Xiao, Ying-Yuan

Journal: SECURITY AND PRIVACY. 2026; Vol. 9, Issue 2, pp. -. DOI: 10.1002/spy2.70171
5、Real-Time Detection and Prevention of DoS Attack in Unmanned Marine Vehicles Using Machine Learnin
Author: Ali, Noman; Saeed, Yousaf; Ibrahim, Muhammad; Bilal, Muhammad; Tahir, Muhammad; Aslam, Muhammad; Akpokodje, Edore; Jilani, Syeda Fizzah; Tang, Meng

Journal: SECURITY AND PRIVACY. 2026; Vol. 9, Issue 2, pp. -. DOI: 10.1002/spy2.70201
6、Leakage Risk Quantification-Based Adaptive Defense Against Gradient Leakage Attacks in Federated Learnin
Author: Yu, Jie; Li, Jinguo; Yao, Yiling

Journal: SECURITY AND PRIVACY. 2026; Vol. 9, Issue 2, pp. -. DOI: 10.1002/spy2.70208
7、GCBA: Gradient Compensated Backdoor Attack Against Federated Learnin
Author: Xu, Xianzhe; Li, Jinguo; Zheng, Xinru; Cui, Delong; Li, Pengfei

Journal: SECURITY AND PRIVACY. 2026; Vol. 9, Issue 2, pp. -. DOI: 10.1002/spy2.70205
8、Computer Software Malicious Intrusion Detection Method Based on CN and Dynamic and Static Behavior Analysi
Author: Wang, Chuang; Wang, Lin

Journal: SECURITY AND PRIVACY. 2026; Vol. 9, Issue 2, pp. -. DOI: 10.1002/spy2.70203