Biblio

The survey of related work in the very specialized field of information security (IS) ensurance for the Internet of Things (IoT) allowed us to work out a taxonomy of typical attacks against the IoT elements (with special attention to the IoT device protection). The key directions of countering these attacks were defined on this basis. According to the modern demand for the IoT big IS-related data processing, the application of Security Intelligence approach is proposed. The main direction of the future research, namely the IoT operational resilience, is indicated.

The survey of related works on insider information security (IS) threats is presented. Special attention is paid to works that consider the insiders' behavioral models as it is very up-to-date for behavioral intrusion detection. Three key research directions are defined: 1) the problem analysis in general, including the development of taxonomy for insiders, attacks and countermeasures; 2) study of a specific IS threat with forecasting model development; 3) early detection of a potential insider. The models for the second and third directions are analyzed in detail. Among the second group the works on three IS threats are examined, namely insider espionage, cyber sabotage and unintentional internal IS violation. Discussion and a few directions for the future research conclude the paper.

The need to protect big data, particularly those relating to information security (IS) maintenance (ISM) of an enterprise's IT infrastructure, is shown. A worldwide experience of addressing big data ISM issues is briefly summarized and a big data protection problem statement is formulated. An infrastructure for big data ISM is proposed. New applications areas for big data IT after addressing ISM issues are listed in conclusion.