By Wenji Mao
The clever structures sequence includes titles that current cutting-edge wisdom and the most recent advances in clever structures. Its scope contains theoretical reviews, layout equipment, and real-world implementations and applications.
Traditionally, Intelligence and protection Informatics (ISI) study and purposes have fascinated with info sharing and information mining, social community research, infrastructure security and emergency responses for safeguard informatics. With the continual boost of IT applied sciences and the expanding sophistication of nationwide and overseas defense, lately, new instructions in ISI learn and purposes have emerged to deal with advanced issues of complicated applied sciences. This ebook offers a finished and interdisciplinary account of the hot advances in ISI sector alongside 3 basic dimensions: methodological matters in protection informatics; new technological advancements to aid security-related modeling, detection, research and prediction; and purposes and integration in interdisciplinary socio-cultural fields.
- Identifies rising instructions in ISI study and functions that deal with the learn demanding situations with complex applied sciences
- Provides an built-in account of the recent advances in ISI box in 3 center facets: method, technological advancements and purposes
- Benefits researchers in addition to safety pros who're excited about state of the art study and functions in protection informatics and similar fields
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Extra resources for Advances in Intelligence and Security Informatics
1 Construction of Plan Library We conducted our experiment in the security informatics domain and chose Al-Qaeda as a representative radical group for our study. Group plans can be written manually by domain experts. However, due to the workload of hand-made plans, inconsistency between different experts, and the complexity of group behavior, this method is impractical and error-prone in practice. As a huge volume of reports about this group and its historical events is available online, we employed computational methods to automatically generate group attack plans from relevant open-source textual data .
Observations (constituting 49% of the evidence set) or three observations (constituting 51% of the evidence set). Four human raters experienced in security informatics participated in the experiment. According to the plan library we constructed, each rater examined the evidence set line by line and predicted the most likely plans based on each line of evidence. 764. The previous state probabilities, action execution probabilities, and effect probabilities used by our approach (less than 100 items in total) were assigned by an intelligence analyst.
Most previous research on plan recognition has focused on the influence of the observed actions on the recognition task. World states, especially the observed agent’s preferences over states, are often ignored in the recognition process. In our proposed approach, we view plan recognition as inferring the decision-making strategy of the observed agent (or a group of agents) and explicitly take the observed agent’s preferences into consideration. Previous research identifies the properties of intentions in practical reasoning, and states intentions as elements in agents’ stable partial plans of action structuring present and future conduct.
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