[Commlist] Call for Chapters: Data Analytics for Detecting and Combating Online Crime and Terrorism

Call for Chapters: Data Analytics for Detecting and Combating Online 
Crime and Terrorism: 
https://www.igi-global.com/publish/call-for-papers/call-details/4175

Proposals Submission Deadline: November 30, 2019

Introduction: Increased usage of social media led to the formation of 
online communities of terrorist groups for discussing many violent 
plans. These online communities present big data to researchers to 
identify hidden patterns and behaviours to generate actionable 
intelligence which can be useful for security agencies. Recruiting new 
people over online social media is an emerging trend which presents how 
the internet is exploited by terrorist groups

Objective: Terrorism is a global issue which is affecting many nations 
directly or indirectly. Online social media have given a vital platform 
for terrorists to form online communities and to operate remotely. 
Jihadist groups such as ISIS are most popular over online social media 
such as Twitter, YouTube or Facebook for radicalizing their agendas and 
sharing violent content or videos. Detecting such radical messages over 
social media has been the topic of study for many researchers. Terrorist 
groups are also using the anonymous nature of internet browsing to build 
their own private online communities over public internet architecture. 
These dedicated discussion forums are not indexed by search engines and 
require special configurations to access data from these privately owned 
dark web discussion forums. There are many dedicated dark web discussion 
forums of terrorist groups to make their groups decentralized. 
Recruitment of new members for terrorist groups have also been a very 
crucial and major topic of discussion over these discussion forums and 
over social media websites. This comprehensive and timely publication 
will provide insights to highlight the most debated aspects in the field.

Recommended Topics:

Social networking data analysis tools and services to combat terrorism

Machine learning to gain novel insights on social network analysis

Evolutionary algorithms for learning the behavior analysis for online 
recruitment

Mining and analyzing business applications social data for 
identification, support and optimization

Optimization of dynamic processes in social networks for terrorism

Social Implications of Dark Web

Trust based Analysis in Online Social Network

Forensic Analysis in Online Social Network-Based Web Applications

Online Trust evaluation

Contact: Dr. Tina Tomažič, (tina.tomazic /at/ um.si)
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