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Comprehensive review of cybercrime detection techniques
Cybercrimes are cases of indictable offences and misdemeanors that involve computers or
communication tools as targets and commission instruments or are associated with the …
communication tools as targets and commission instruments or are associated with the …
Cybercrime detection and prevention efforts in the last decade: an overview of the possibilities of machine learning models
According to a report titled “cyberwarfare in the c-suite” released on January 21 2021 by
Steve Morgan of the cybercrime magazine, cybercrime is projected to unleash global …
Steve Morgan of the cybercrime magazine, cybercrime is projected to unleash global …
Deep learning-based sentiment analysis of Facebook data: The case of Turkish users
Sentiment analysis (SA) is an essential task for many domains where it is crucial to know
users' public opinion about events, products, brands, politicians and so on. Existing works …
users' public opinion about events, products, brands, politicians and so on. Existing works …
Huri: Hybrid user risk identification in social networks
The massive adoption of social networks increased the need to analyze users' data and
interactions to detect and block the spread of propaganda and harassment behaviors, as …
interactions to detect and block the spread of propaganda and harassment behaviors, as …
SAIRUS: Spatially-aware identification of risky users in social networks
The massive spread of social networks provided a plethora of new possibilities to
communicate and interact worldwide. On the other hand, they introduced some negative …
communicate and interact worldwide. On the other hand, they introduced some negative …
An NLP‐Based Framework to Spot Extremist Networks in Social Media
Governments and law enforcement agencies (LEAs) are increasingly concerned about
growing illicit activities in cyberspace, such as cybercrimes, cyberespionage, cyberterrorism …
growing illicit activities in cyberspace, such as cybercrimes, cyberespionage, cyberterrorism …
A study of radicalism contents detection in twitter: Insights from support vector machine technique
Social media has been widely used to target, coordinate, disseminate and embed radicalism
doctrine to the society. Radicalism gives destructive impacts to an attacked country and the …
doctrine to the society. Radicalism gives destructive impacts to an attacked country and the …
Digital Forensics Investigation Approaches in Mitigating Cybercrimes: A Review.
Cybercrime is a significant threat to Internet users, involving crimes committed using
computers or computer networks. The landscape of cyberspace presents a complex terrain …
computers or computer networks. The landscape of cyberspace presents a complex terrain …
Navigating complexity: a comprehensive review of heterogeneous information networks and embedding techniques
The adoption of heterogeneous information networks (HINs) has gained popularity as a
means of modeling complex real-world systems with diverse interacting components …
means of modeling complex real-world systems with diverse interacting components …
An early warning detection system of terrorism in Indonesia from twitter contents using naive bayes algorithm
Aware on the benefits of social media as the networking platform, the extremist organization
is utilized social media to spread the ideology, recruit new member and guided a suicide …
is utilized social media to spread the ideology, recruit new member and guided a suicide …