Adversarial behaviours knowledge area

The technological advancements witnessed by our society in recent decades have brought improvements in our quality of life, but they have also created a number of opportunities for attackers to cause harm. Before the Internet revolution, most crime and malicious activity generally required a victim and a perpetrator to come into physical contact, and this limited the reach that malicious parties had. Technology has removed the need for physical contact to perform many types of crime, and now attackers can reach victims anywhere in the world, as long as they are connected to the Internet. This has revolutionised the characteristics of crime and warfare, allowing operations that would not have been possible before. In this document, we provide an overview of the malicious operations that are happening on the Internet today. We first provide a taxonomy of malicious activities based on the attacker’s motivations and capabilities, and then move on to the technological and human elements that adversaries require to run a successful operation. We then discuss a number of frameworks that have been proposed to model malicious operations. Since adversarial behaviours are not a purely technical topic, we draw from research in a number of fields (computer science, criminology, war studies). While doing this, we discuss how these frameworks can be used by researchers and practitioners to develop effective mitigations against malicious online operations.Published versio

Community Knowledge and Attitude on Malaria in Outbreak Area Rowokele Subdistrict, Kebumen Regency: an Ethnoscience Perspective

Background: Malaria was becoming a re-emerging disease in Central Java, especially for Kebumen Regency, it has been hit by malaria outbreak with the increasing case. A study was conducted in rural area of sub district Rowokele, Kebumen, Central java to identify local knowledge and practice of the community that has been becoming one of the important factors for vector borne disease control, including malaria control. Methods: This research was conducted between June 2011 and November 2011, applying qualitative method with ethnoscience approach. Data were retrieved from in-depth interviews and focus-group. Qualitative thematic content analysis was applied to understanding sharpening of the social and cultural aspect of malaria disease. Results:Qualitative method using in-depth interview able to explain several findings, such as the result of a local term of malaria, called “udug-udug” in rowokele sub-district. It shows the insufficient understanding of malaria signs and symptoms in the sub of villages, it leads to delay for illness recognition and its treatment. Conclution: Misperceptions on the preventive activities, as well as confusion of malaria with dengue fever, were identified. This study detected risk group of malaria infection in community practices such as a farmer who works in the forest and seasonal migration. Recommendation:Promotion intensification and health education on vector, prevention and therapy are important to be introduced

EAL and English: subjects and language across the curriculum

English is a core subject of the National Curriculum, and English is also the oral and written medium of instruction for the whole curriculum. ‘English across the curriculum’ conceptualises pupils applying their knowledge of these strands to other domains of subject knowledge. Subject English is highly politicised and contested; no other curriculum area undergoes such continuous scrutiny and revision. English as an Additional Language (EAL) is, in contrast, a ‘diffuse’ curriculum area which is not articulated as a distinct subject or a controversial domain of learning although, like English, EAL crosses all curriculum subjects. Part of an online series on EAL and curriculum subjects, the article discusses how pupils learning EAL apply their developing knowledge of English as well as their other languages in this particular subject area and how the curriculum in English can create additional linguistic and cultural demands on pupils learning EAL, making subject knowledge and understanding more challenging. Funded by TDA

Fuzzy rule-based system applied to risk estimation of cardiovascular patients

Cardiovascular decision support is one area of increasing research interest. On-going collaborations between clinicians and computer scientists are looking at the application of knowledge discovery in databases to the area of patient diagnosis, based on clinical records. A fuzzy rule-based system for risk estimation of cardiovascular patients is proposed. It uses a group of fuzzy rules as a knowledge representation about data pertaining to cardiovascular patients. Several algorithms for the discovery of an easily readable and understandable group of fuzzy rules are formalized and analysed. The accuracy of risk estimation and the interpretability of fuzzy rules are discussed. Our study shows, in comparison to other algorithms used in knowledge discovery, that classifcation with a group of fuzzy rules is a useful technique for risk estimation of cardiovascular patients. © 2013 Old City Publishing, Inc

Assessing farmer’s Pesticide Safety Knowledge in cotton growing area of Punjab, Pakistan

A pesticide safety knowledge test was developed to assess farmer’s knowledge related to pesticide safety. Yes-No (true-false) type 25 item, test, was constructed and used in a sample of 162 pesticide applicator in two districts of southern Punjab Pakistan. The overall mean score was 17.2(72%). More educated and adult respondents performed better than younger and illiterate. Similarly large land holder scored higher than small landholders, indicating their more access to information and extension. Overall ten Items received less than 50% correct response. The result shows that farmers have reasonably good knowledge but it still has to see, to what extent that knowledge is being used practically. It could possibly be the future research topic.Health cost, Environmental cost, Pesticide knowledge, pesticide safety

A Note on Parameterised Knowledge Operations in Temporal Logic

We consider modeling the conception of knowledge in terms of temporal logic. The study of knowledge logical operations is originated around 1962 by representation of knowledge and belief using modalities. Nowadays, it is very good established area. However, we would like to look to it from a bit another point of view, our paper models knowledge in terms of linear temporal logic with {\em past}. We consider various versions of logical knowledge operations which may be defined in this framework. Technically, semantics, language and temporal knowledge logics based on our approach are constructed. Deciding algorithms are suggested, unification in terms of this approach is commented. This paper does not offer strong new technical outputs, instead we suggest new approach to conception of knowledge (in terms of time).Comment: 10 page

A Very Large Area Network (VLAN) knowledge-base applied to space communication problems

This paper first describes a hierarchical model for very large area networks (VLAN). Space communication problems whose solution could profit by the model are discussed and then an enhanced version of this model incorporating the knowledge needed for the missile detection-destruction problem is presented. A satellite network or VLAN is a network which includes at least one satellite. Due to the complexity, a compromise between fully centralized and fully distributed network management has been adopted. Network nodes are assigned to a physically localized group, called a partition. Partitions consist of groups of cell nodes with one cell node acting as the organizer or master, called the Group Master (GM). Coordinating the group masters is a Partition Master (PM). Knowledge is also distributed hierarchically existing in at least two nodes. Each satellite node has a back-up earth node. Knowledge must be distributed in such a way so as to minimize information loss when a node fails. Thus the model is hierarchical both physically and informationally

On Building a Knowledge Base for Stability Theory

A lot of mathematical knowledge has been formalized and stored in repositories by now: different mathematical theorems and theories have been taken into consideration and included in mathematical repositories. Applications more distant from pure mathematics, however --- though based on these theories --- often need more detailed knowledge about the underlying theories. In this paper we present an example Mizar formalization from the area of electrical engineering focusing on stability theory which is based on complex analysis. We discuss what kind of special knowledge is necessary here and which amount of this knowledge is included in existing repositories.Comment: To appear in The 9th International Conference on Mathematical Knowledge Management: MKM 201

The purpose of mess in action research: building rigour though a messy turn

Mess and rigour might appear to be strange bedfellows. This paper argues that the purpose of mess is to facilitate a turn towards new constructions of knowing that lead to transformation in practice (an action turn). Engaging in action research - research that can disturb both individual and communally held notions of knowledge for practice - will be messy. Investigations into the 'messy area', the interface between the known and the nearly known, between knowledge in use and tacit knowledge as yet to be useful, reveal the 'messy area' as a vital element for seeing, disrupting, analysing, learning, knowing and changing. It is the place where long-held views shaped by professional knowledge, practical judgement, experience and intuition are seen through other lenses. It is here that reframing takes place and new knowing, which has both theoretical and practical significance, arises: a 'messy turn' takes place