Attack vectors against social networking systems : the Facebook example

Social networking systems (SNS’s) such as Facebook are an ever evolving and developing means of social interaction, which is not only being used to disseminate information to family, friends and colleagues but as a way of meeting and interacting with "strangers" through the advent of a large number of social applications. The attractiveness of such software has meant a dramatic increase in the number of frequent users of SNS’s and the threats which were once common to the Internet have now been magnified, intensified and altered as the potential for criminal behaviour on SNS’s increases. Social networking sites including Facebook contain a vast amount of personal information, that if obtained could be used for other purposes or to carry out other crimes such as identity theft. This paper will focus on the security threats posed to social networking sites and gain an understanding of these risks by using a security approach known as “attack trees”. This will allow for a greater understanding of the complexity associated with protecting Social Networking systems with a particular focus on Facebook.

Tree façades : generative modelling with an axial branch rewriting system

The methods and algorithms of generative modelling can be improved when representing organic structures by the study of computational models of natural processes and their application to architectural design. In this paper, we present a study of the generation of branching structures and their application to the development of façade support systems. We investigate two types of branching structures, a recursive bifurcation model and an axial tree based L-system for the generation of façades. The aim of the paper is to capture not only the form but also the underlying principles of biomimicry found in branching. This is then tested, by their application to develop experimental façade support systems. The developed algorithms implement parametric variations for façade generation based on natural tree-like branching. The benefits of such a model are: ease of structural optimization, variations of support and digital fabrication of façade components.

Rejection of the fruit of the poisonous tree doctrine in Australia : a retreat from progressivism

This article canvasses the key Australian exclusionary rules and discretions to exclude evidence under both the common law and its statutory counterparts in the Uniform Evidence Legislation now in effect in the Commonwealth, Victoria, New South Wales, the Australian Capital Territory and Tasmania. In examining these exclusionary rules and discretions, an analysis is made as to whether evidence derived from primary evidence excluded under one or more of these rules should also be excluded under an American style 'fruit of the poisonous tree doctrine' - and why or why not. Finally, the article compares the current Australian approach to this doctrine with the present state of the American doctrine and the recognised exceptions thereto. The article concludes with recommendations for applying the doctrine in both countries, subject to suggested changes in the Jaw that take the realities of political correctness and human frailty into account.

A mutation-based evolving neural network model and its application to condition monitoring

Data analysis using intelligent systems is a key solution to many industrial problems. In this paper, a mutation-based evolving artificial neural network, which is based on an integration of the Fuzzy ARTMAP (FAM) neural network and evolutionary programming (EP), is proposed. The proposed FAMEP model is applied to detect and classify possible faults from a number of sensory signals of a circulating water system in a power generation plant. The efficiency of FAM-EP is assessed and compared with that of the original FAM network in terms of classification accuracy as well as network complexity. In addition, the bootstrap method is used to quantify the performance statistically. The results positively demonstrate the usefulness of FAM-EP in tackling data classification problems.

A similarity measure on tree structured business data

In many business situations, products or user profile data are so complex that they need to be described by use of tree structures. Evaluating the similarity between tree-structured data is essential in many applications, such as recommender systems. To evaluate the similarity between two trees, concept corresponding nodes should be identified by constructing an edit distance mapping between them. Sometimes, the intension of one concept includes the intensions of several other concepts. In that situation, a one-to-many mapping should be constructed from the point of view of structures. This paper proposes a tree similarity measure model that can construct this kind of mapping. The similarity measure model takes into account all the information on nodes’ concepts, weights, and values. The conceptual similarity and the value similarity between two trees are evaluated based on the constructed mapping, and the final similarity measure is assessed as a weighted sum of their conceptual and value similarities. The effectiveness of the proposed similarity measure model is shown by an illustrative example and is also demonstrated by applying it into a recommender system.

American technology policy: evolving strategic interests after the Cold War

Since the end of the Cold War, U.S. policymakers have faced the challenge of addressing the technological requirements of both economic competitiveness and national security. Promoting the technological objectives of competitiveness and security poses a daunting task, as these objectives can differ significantly in terms of autonomy, the private sector’s role, and the time frame involved. The difficulties inherent in meeting these competing needs for technological investment and resources are exacerbated by growing technological globalization. American Technology Policy analyzes the ongoing efforts of politicians, legislators, policymakers, and industry leaders to balance their often-conflicting technological requirements. J. D. Kenneth Boutin examines recent trends and developments in American technology policy as it strives to support high-technology firms without undermining national security. He then considers issues of autonomy, relations between the federal government and industry, and the time frame involved in formulating and implementing policy initiatives, all in the context of globalization. Though satisfying the ambitious American technological agenda is difficult, it is impossible for authorities to avoid making the effort, given the high stakes involved. Boutin’s analysis is intended to inform those who are charged with prioritizing and balancing the technological needs of national defense and economic growth. Although the post–Cold War technology policy of the United States has been characterized by efforts to achieve a balance between these two competing priorities, the dominant focus remains on national security. Boutin explains the ways in which American authorities seek to limit the extent of compromise necessary by working with local and foreign actors and by encouraging structural changes in the environment for technological development, application, and diffusion.

Ground-based survey methods both overestimate and underestimate the abundance of suitable tree-cavities for the endangered Swift Parrot

Most cavity-dependent species select tree-cavities with a narrow range of characteristics so that only a small subset of available cavities may be suitable for any species. Most surveys for tree-cavities are done from the ground using binoculars to reduce effort, but this technique is prone to error. These errors are likely to contribute to the loss of the cavity resource when used to inform conservation efforts for cavity-dependent species. The Swift Parrot (Lathamus discolor) is an endangered migratory bird threatened by ongoing removal of cavity-bearing trees by production forestry. We climbed trees with cavities used for nesting by Swift Parrots and determined that they prefer cavities with small entrances, deep chambers and wide floors. Such cavities are rare and occur in large trees that support higher than average numbers of tree-cavities. Importantly, cavities used by Swift Parrots were also likely to be both overestimated and underestimated using ground-based surveys, and without calibration by climbing, the size and direction of survey error could not be determined. We conclude that the most effective way to gain detailed information about the characteristics and abundance of tree-cavities is to climb a representative sample of trees to calibrate ground-based methods for a specific ecosystem.

Rubber latex yield and physiology of rubber tree with tea tree oil treatments

To examine the effects of tea tree oil on rubber latex yield and the resulting latex physiological parameters of rubber tree （Hevea brasiliensis），clean water and 20%，40%，60%，80% and 100% of tea tree oil were applied on the tapping cut of rubber trees. The data were analyzed by Duncan test and its results showed that when compared to clean water （ck），80% and 100% of tea tree oil stimulation significantly promoted rubber latex yield（P＜0.05）. In addition，the latex physiological parameters changed with the sucrose content（P＜0.01），magnesium ion content （P＜0.01） and inorganic phosphorus content （P＜0.01） of latex significantly increasing and thiol content significantly deceasing （P＜0.01）. The effect of tea tree oil treatments on rubber yield was similar to the impact of 0.5% ethrel stimulation. However，compared to ethrel stimulation，100% tea tree oil treatment significantly increased dry rubber and sucrose contents （P＜0.01） and decreased thiol content （P＜0.01）. Thus，tea tree oil treatment involved different latex yield promotion mechanisms than that of ethrel stimulation.