Biblio

The lack of standardization of the terms insider and insider threat has been a noted problem for researchers in the insider threat field. This paper describes the investigation of 42 different definitions of the terms insider and insider threat, with the goal of better understanding the current conceptual model of insider threat and facilitating communication in the research community.

As the Internet of Things (IoT) era raise, billions of additional connected devices in new locations and applications will create new challenges. Security and privacy are among the major challenges in IoT as any breaches and misuse in those aspects will have the adverse impact on users. Among many factors that determine the security of any system, human factor is the most important aspect to be considered; as it is renowned that human is the weakest link in the information security cycle. Experts express the need to increase cyber resilience culture and a focus on the human factors involved in cybersecurity to counter cyber risks. The aim of this study is to propose a conceptual model to improve cyber resilience in IoT users that is adapted from a model in public health sector. Cyber resilience is improved through promoting security behavior by gathering the existing knowledge and gain understanding about every contributing aspects. The proposed approach is expected to be used as foundation for government, especially in Indonesia, to derive strategies in improving cyber resilience of IoT users.

Formal methods, models and tools for social big data analytics are largely limited to graph theoretical approaches such as social network analysis (SNA) informed by relational sociology. There are no other unified modeling approaches to social big data that integrate the conceptual, formal and software realms. In this paper, we first present and discuss a theory and conceptual model of social data. Second, we outline a formal model based on set theory and discuss the semantics of the formal model with a real-world social data example from Facebook. Third, we briefly present and discuss the Social Data Analytics Tool (SODATO) that realizes the conceptual model in software and provisions social data analysis based on the conceptual and formal models. Fourth and last, based on the formal model and sentiment analysis of text, we present a method for profiling of artifacts and actors and apply this technique to the data analysis of big social data collected from Facebook page of the fast fashion company, H&M.