Since the textual contents on online social media are highly unstructured, informal, and often
misspelled, existing research on message-level offensive language detection cannot …

The convergence of fifth-generation (5G) communication and the Internet-of-Things (IoT) has
dramatically increased the diversity and complexity of the network. This change diversifies …

Natural language processing is enhanced by linguistically extracting intelligence about a
user. A history of user queries is analyzed by a natural language classifier to determine …

This paper deal with the actual task of semantic analysis for information and communication
threats detection of online service users. The increasing popularity of new Internet …

The Insider threat is minimally addressed by current information security practices, yet the
insider poses the most serious threat to organization through various malicious activities …

The sharp rise in consumer computing, electronic and mobile devices and data volumes has
resulted in increased workloads for digital forensic investigators and analysts. The number …

Despite a technology bias that focuses on external electronic threats, insiders pose the
greatest threat to an organisation. This paper discusses an approach to assist investigators …

In the intelligence community, the existence of a malicious insider poses a severe threat to
information, to the actual analytic process, and, ultimately, to any decision-making process …

Previous work in automating insider threat detection has included top-down analysis and
fusion of events from network and system monitors. Situation-awareness can extend the …

Insider threat has been recognized as one of the most dangerous security threats and
become a much more complex issue. Insider threat is resulted from the legitimate users …