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Studying Online Deviant Groups (ODGs) : = A Socio-Technical Approach Leveraging Social Network Analysis (SNA) & Social Cyber Forensics (SCF) Techniques.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Studying Online Deviant Groups (ODGs) :/
其他題名:	A Socio-Technical Approach Leveraging Social Network Analysis (SNA) & Social Cyber Forensics (SCF) Techniques.
作者:	Al-khateeb, Samer.
面頁冊數:	1 online resource (138 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-05(E), Section: A.
Contained By:	Dissertation Abstracts International79-05A(E).
標題:	Information science. -
電子資源:	click for full text (PQDT)
ISBN:	9780355488586

Studying Online Deviant Groups (ODGs) : = A Socio-Technical Approach Leveraging Social Network Analysis (SNA) & Social Cyber Forensics (SCF) Techniques.
Al-khateeb, Samer.

Studying Online Deviant Groups (ODGs) :A Socio-Technical Approach Leveraging Social Network Analysis (SNA) & Social Cyber Forensics (SCF) Techniques. - 1 online resource (138 pages)

Source: Dissertation Abstracts International, Volume: 79-05(E), Section: A.

Thesis (Ph.D.)

Includes bibliographical references

In today's information technology age our thinking and behaviors are highly influenced by what we see on the Internet and our smartphones screens, e.g., watching a fake or photo-shopped image of a well-known individual makes some of us think it is true. But in many cases, it is not. The initial use of social media for benign purposes, e.g., to socialize with friends or browse pictures has increasingly transitioned to include malicious activities, e.g., cyber-terrorism and cyber-warfare. These nefarious uses of Online Social Networks (OSNs) pose a significant threat to society and are under-studied, thus requires research attention. Online Deviant Groups (ODGs) including state and non-state actors, e.g., the so-called Islamic State in Iraq and Levant (ISIL), anti-NATO propagandist, or deviant hackers' groups are using social media to influence mass thinking; invite citizens to participate in hacking activities or Deviant Cyber Flash Mobs (DCFMs); and try to provoke hysteria among citizens by disseminating mis/disinformation or propaganda about various important events. This research studies ODGs from a computational social science perspective and provide suitable mathematical models to understand ODGs' coordination strategies, motivations, and uncover hidden relations between different entities, e.g., individuals, organizations, and groups. It consists of three main streams, i.e., ODGs acts, e.g., DCFMs and mis/disinformation cyber campaigns; ODGs tactics and channels, e.g., Bots and Internet trolls on Twitter and blogs; and Social Cyber Forensics (SCF) tools and techniques to enhance the collected raw data and to uncover hidden relationships between different ODGs. This interdisciplinary research shed light on the emerging sociotechnical behaviors conducted by ODGs, highlight the risks they pose to human security, and advance our understanding of such behaviors by bridging forensics, social, and computational sciences. It should help researchers in the fields of Technology Law, Social Sciences, Security and Defense, Information Warfare, Forensic Science, Communication, Information Technology, and Computer Science. It should also help in developing effective proactive measures and policies to eliminate the security risks in both cyberspace and physical space, i.e., Cybernetic Space.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355488586Subjects--Topical Terms:

561178
Information science.
Index Terms--Genre/Form:

554714
Electronic books.

Studying Online Deviant Groups (ODGs) : = A Socio-Technical Approach Leveraging Social Network Analysis (SNA) & Social Cyber Forensics (SCF) Techniques.
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520 $a In today's information technology age our thinking and behaviors are highly influenced by what we see on the Internet and our smartphones screens, e.g., watching a fake or photo-shopped image of a well-known individual makes some of us think it is true. But in many cases, it is not. The initial use of social media for benign purposes, e.g., to socialize with friends or browse pictures has increasingly transitioned to include malicious activities, e.g., cyber-terrorism and cyber-warfare. These nefarious uses of Online Social Networks (OSNs) pose a significant threat to society and are under-studied, thus requires research attention. Online Deviant Groups (ODGs) including state and non-state actors, e.g., the so-called Islamic State in Iraq and Levant (ISIL), anti-NATO propagandist, or deviant hackers' groups are using social media to influence mass thinking; invite citizens to participate in hacking activities or Deviant Cyber Flash Mobs (DCFMs); and try to provoke hysteria among citizens by disseminating mis/disinformation or propaganda about various important events. This research studies ODGs from a computational social science perspective and provide suitable mathematical models to understand ODGs' coordination strategies, motivations, and uncover hidden relations between different entities, e.g., individuals, organizations, and groups. It consists of three main streams, i.e., ODGs acts, e.g., DCFMs and mis/disinformation cyber campaigns; ODGs tactics and channels, e.g., Bots and Internet trolls on Twitter and blogs; and Social Cyber Forensics (SCF) tools and techniques to enhance the collected raw data and to uncover hidden relationships between different ODGs. This interdisciplinary research shed light on the emerging sociotechnical behaviors conducted by ODGs, highlight the risks they pose to human security, and advance our understanding of such behaviors by bridging forensics, social, and computational sciences. It should help researchers in the fields of Technology Law, Social Sciences, Security and Defense, Information Warfare, Forensic Science, Communication, Information Technology, and Computer Science. It should also help in developing effective proactive measures and policies to eliminate the security risks in both cyberspace and physical space, i.e., Cybernetic Space.
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