Social Radars: Finding Targets in Cyberspace for Cybersecurity

doi:10.1109/JAS.2024.124251

CASIA OpenIR > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Social Radars: Finding Targets in Cyberspace for Cybersecurity
	Lili Fan; Changxian Zeng; Yutong Wang; Jiaqi Ma; Fei-Yue Wang
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2024
卷号	11 期号:2 页码:279-282
通讯作者	Wang, Fei-Yue(feiyue.wang@ia.ac.cn)
摘要	Inspired by the insight from American political scientist Lasswell, who summarized the environmental role in societal surveillance [1], Schramm coined the term "social radar" [2] as it resembles the activities of radar in collecting and processing information, playing a crucial role in helping humans perceive changes in the internal and external environment and promptly adjusting adaptive behaviors. Against the backdrop of cyberspace security becoming a global focus, the development of globalization in information and intelligence calls for in-depth research into social radar. This can help us better understand and respond to complex societal dynamics more intelligently and sensitively. Social radar, as the capability to keenly observe and interpret this information, aids in a better understanding of societal trends, cultural evolution, and interpersonal interactions. This sensitivity is crucial for timely grasping societal changes and predicting trends. In the 2010 "Arab Spring" event, social media played a crucial role in driving the movement, resulting in widespread violent conflicts that had significant impacts on both society and the economy [3]. This event re-introduced social radar as a service platform based on social networks and social media. It aims to employ keyword expansion detection modules and sentiment analysis tools to summarize specific social dashboards in Fig. 1. The generated results assist authorities in planning "risk control strategies," issuing alerts to businesses or governments, and monitoring unexpected occurrences [4]. The research on social radar provides robust support for us to better adapt to and lead technological changes, enabling us to keenly perceive the pulse of societal development and make wiser decisions.
DOI	10.1109/JAS.2024.124251
关键词[WOS]	INTELLIGENCE
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China
项目资助者	National Key Research and Development Program of China
WOS研究方向	Automation & Control Systems
WOS类目	Automation & Control Systems
WOS记录号	WOS:001167041500007
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/54543
专题	学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Lili Fan,Changxian Zeng,Yutong Wang,et al. Social Radars: Finding Targets in Cyberspace for Cybersecurity[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(2):279-282.
APA	Lili Fan,Changxian Zeng,Yutong Wang,Jiaqi Ma,&Fei-Yue Wang.(2024).Social Radars: Finding Targets in Cyberspace for Cybersecurity.IEEE/CAA Journal of Automatica Sinica,11(2),279-282.
MLA	Lili Fan,et al."Social Radars: Finding Targets in Cyberspace for Cybersecurity".IEEE/CAA Journal of Automatica Sinica 11.2(2024):279-282.

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JAS-2024-0021.pdf（10180KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览