1,720,957 research outputs found
Event-based computer profiling for the forensic reconstruction of computer activity
No full textIn cases where an investigator has no prior knowledge of a computer\ud
system to be investigated, the significant investment of time and resources\ud
required to undertake a detailed computer forensic examination may deter\ud
investigators, given it is not known whether it will yield any relevant evidence.\ud
This problem is particularly acute in cases involving acceptable usage\ud
monitoring or intelligence operations, where an investigator has no particular\ud
expectations about the digital evidence which might be found on a collection of\ud
computer systems, or no prior knowledge of their usage. Computer profiling is\ud
a process by which a computer system is automatically examined, without\ud
direction, to determine whether the computer system is of interest to a human\ud
investigator. This paper proposes a new technique for automated computer\ud
forensic investigations which provides a computer profile with historical timelining\ud
of user and application activity. A prototype software implementation of\ud
the technique is described and experimental results are provided and discussed\ud
which demonstrate the feasibility and value of incorporating activity traces into\ud
a computer profile
A model for computer profiling
No full textThis paper discusses the use of models in automatic computer forensic analysis, and proposes and elaborates on a novel model for use in computer profiling, the computer profiling object model. The computer profiling object model is an information model which models a computer as objects with various attributes and inter-relationships. These together provide the information necessary for a human investigator or an automated reasoning engine to make judgements as to the probable usage and evidentiary value of a computer system. The computer profiling object model can be implemented so as to support automated analysis to provide an investigator with the information needed to decide whether manual analysis is required
Risk Modelling the Transition of SCADA System to IPv6
Full text linkInternational audienceSCADA is one of a set of manufacturing-and-control systems that are used to monitor and control critical infrastructure. Such systems extensively utilise communications network protocols such as TCP/IP to interconnect a diverse array of components. A major forthcoming change within TCP/IP is the adoption of the IPv6 protocol and inevitably this change will affect SCADA systems. However IPv6 introduces its own set of vulnerabilities. Hence, given the scale and complexity of current SCADA systems, there is a need for organisations to be able to model and review the risks emanating from the propagation of identifiable vulnerabilities in IPv6 prior to actual operational deployment. This work shows how the required tools can be constructed by complementing the Information Security Management (ISM) risk modelling tool with the formal technique of Coloured Petri Nets (CPN). The results of the application of the tools in a case study confirm the utility of the approach
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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