Smart homes are equipped with a variety of sensors to monitor the human activities. The information gathered from the heterogeneous sensors may not be always reliable and have different degrees of uncertainly. One of the most important techniques have been proposed to deal with uncertainty is Dempster-Shafer Theory (DST). In this paper, aims to define more precise sensor reliability and decreas...

Introduction. We apply the theoretical framework and formal model of the observation tuple with the credibility weight for forensic analysis of the IDS data and the corresponding event reconstruction. Forensic Lucid – a forensic case modeling and specification language is used for the task. In the ongoing theoretical and practical work, Forensic Lucid is augmented with the Dempster-Shafer theor...

In many real-life situations, we only have partial information about the actual probability distribution. For example, under Dempster-Shafer uncertainty, we only know the masses m1, . . . , mn assigned to different sets S1, . . . , Sn, but we do not know the distribution within each set Si. Because of this uncertainty, there are many possible probability distributions consistent with our knowle...

Dempster–Shafer (D-S) evidence theory plays an important role in multisource data fusion. Due to the nature of Dempster combination rule, there can be counterintuitive results when fusing highly conflicting data. To date, conflict management D-S is still open issue. Inspired by modification considering internal indeterminacy and external support, a novel method for fusion proposed based on impr...

To enforce security without user enrollment, trust (or reputation) systems were proposed to use experience as crucial information to support cooperation as well as for security enforcement mechanisms. However, use of trust introduces very difficult problems that still discourage from exploitation of trust for security mechanisms. The ability to change trust quickly and react effectively to chan...

Dempster-Shafer theory offers an alternative to traditional probabilistic theory for the mathematical representation of uncertainty. The significant innovation of this framework is that it allows for the allocation of a probability mass to sets or intervals. DempsterShafer theory does not require an assumption regarding the probability of the individual constituents of the set or interval. This...

In many real-life situations, we only have partial information about the actual probability distribution. For example, under Dempster-Shafer uncertainty, we only know the masses m1, . . . , mn assigned to different sets S1, . . . , Sn, but we do not know the distribution within each set Si. Because of this uncertainty, there are many possible probability distributions consistent with our knowle...

This special issue aims to make people aware and up to date of the innovative research in the area of emerging techniques and methods in security of information and network. The majority of organizations in the commercial and government sectors are relying completely on their computer and network systems. Extensive attacks can cause heavy loss in a few seconds. Therefore, securing their compute...