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Articles 271 - 300 of 536
Full-Text Articles in Physical Sciences and Mathematics
How Often Is Employee Anger An Insider Risk I? Detecting And Measuring Negative Sentiment Versus Insider Risk In Digital Communications, Eric Shaw, Maria Payri, Michael Cohn, Ilene R. Shaw
How Often Is Employee Anger An Insider Risk I? Detecting And Measuring Negative Sentiment Versus Insider Risk In Digital Communications, Eric Shaw, Maria Payri, Michael Cohn, Ilene R. Shaw
Journal of Digital Forensics, Security and Law
This research introduced two new scales for the identification and measurement of negative sentiment and insider risk in communications in order to examine the unexplored relationship between these two constructs. The inter-rater reliability and criterion validity of the Scale of Negativity in Texts (SNIT) and the Scale of Insider Risk in Digital Communications (SIRDC) were established with a random sample of email from the Enron archive and criterion measures from established insiders, disgruntled employees, suicidal, depressed, angry, anxious, and other sampled groups. In addition, the sensitivity of the scales to changes over time as the risk of digital attack increased …
Technology Corner Visualising Forensic Data: Evidence (Part 1), Damian Schofield, Ken Fowle
Technology Corner Visualising Forensic Data: Evidence (Part 1), Damian Schofield, Ken Fowle
Journal of Digital Forensics, Security and Law
Visualisation is becoming increasingly important for understanding information, such as investigative data (for example: computing, medical and crime scene evidence) and analysis (for example: network capability assessment, data file reconstruction and planning scenarios). Investigative data visualisation is used to reconstruct a scene or item and is used to assist the viewer (who may well be a member of the general public with little or no understanding of the subject matter) to understand what is being presented. Analysis visualisations, on the other hand, are usually developed to review data, information and assess competing scenario hypotheses for those who usually have an …
Table Of Contents
Journal of Digital Forensics, Security and Law
No abstract provided.
Automating Vendor Fraud Detection In Enterprise Systems, Kishore Singh, Peter Best, Joseph Mula
Automating Vendor Fraud Detection In Enterprise Systems, Kishore Singh, Peter Best, Joseph Mula
Journal of Digital Forensics, Security and Law
Fraud is a multi-billion dollar industry that continues to grow annually. Many organizations are poorly prepared to prevent and detect fraud. Fraud detection strategies are intended to quickly and efficiently identify fraudulent activities that circumvent preventative measures. In this paper, we adopt a DesignScience methodological framework to develop a model for detection of vendor fraud based on analysis of patterns or signatures identified in enterprise system audit trails. The concept is demonstrated by developing prototype software. Verification of the prototype is achieved by performing a series of experiments. Validation is achieved by independent reviews from auditing practitioners. Key findings of …
Information Security Challenge Of Qr Codes, Nik Thompson, Kevin Lee
Information Security Challenge Of Qr Codes, Nik Thompson, Kevin Lee
Journal of Digital Forensics, Security and Law
The discipline of information security must adapt to new technologies and methods of interaction with those technologies. New technologies present both challenges and opportunities for the security professional, especially for areas such as digital forensics. Challenges can be in the form of new devices such as smartphones or new methods of sharing information, such as social networks. One such rapidly emerging interaction technology is the use of Quick Response (QR) codes. These offer a physical mechanism for quick access to Web sites for advertising and social interaction. This paper argues that the common implementation of QR codes potentially presents security …
How Often Is Employee Anger An Insider Risk Ii? Detecting And Measuring Negative Sentiment Versus Insider Risk In Digital Communications–Comparison Between Human Raters And Psycholinguistic Software, Eric Shaw, Maria Payri, Michael Cohn, Ilene R. Shaw
How Often Is Employee Anger An Insider Risk Ii? Detecting And Measuring Negative Sentiment Versus Insider Risk In Digital Communications–Comparison Between Human Raters And Psycholinguistic Software, Eric Shaw, Maria Payri, Michael Cohn, Ilene R. Shaw
Journal of Digital Forensics, Security and Law
This research uses two recently introduced observer rating scales, (Shaw et al., 2013) for the identification and measurement of negative sentiment (the Scale for Negativity in Text or SNIT) and insider risk (Scale of Indicators of Risk in Digital Communication or SIRDC) in communications to test the performance of psycholinguistic software designed to detect indicators of these risk factors. The psycholinguistic software program, WarmTouch (WT), previously used for investigations, appeared to be an effective means for locating communications scored High or Medium in negative sentiment by the SNIT or High in insider risk by the SIRDC within a randomly selected …
Technology Corner: Visualising Forensic Data: Evidence Guidelines (Part 2), Damian Schofield, Ken Fowle
Technology Corner: Visualising Forensic Data: Evidence Guidelines (Part 2), Damian Schofield, Ken Fowle
Journal of Digital Forensics, Security and Law
Visualisation is becoming increasingly important for understanding information, such as investigative data (for example: computing, medical and crime scene evidence) and analysis (for example, network capability assessment, data file reconstruction and planning scenarios). Investigative data visualisation is used to reconstruct a scene or item and is used to assist the viewer (who may well be a member of the general public with little or no understanding of the subject matter) to understand what is being presented. Analysis visualisations, on the other hand, are usually developed to review data, information and assess competing scenario hypotheses for those who usually have an …
Book Review: Placing The Suspect Behind The Keyboard: Using Digital Forensics And Investigative Techniques To Identify Cybercrime Suspects, Thomas Nash
Journal of Digital Forensics, Security and Law
In this must read for any aspiring novice cybercrime investigator as well as the seasoned professional computer guru alike, Brett Shaver takes the reader into the ever changing and dynamic world of Cybercrime investigation. Shaver, an experienced criminal investigator, lays out the details and intricacies of a computer related crime investigation in a clear and concise manner in his new easy to read publication, Placing the Suspect behind the Keyboard. Using Digital Forensics and Investigative techniques to Identify Cybercrime Suspects. Shaver takes the reader from start to finish through each step of the investigative process in well organized …
Table Of Contents
Journal of Digital Forensics, Security and Law
No abstract provided.
Risk Management Of Email And Internet Use In The Workplace, John Ruhnka, Windham E. Loopesko
Risk Management Of Email And Internet Use In The Workplace, John Ruhnka, Windham E. Loopesko
Journal of Digital Forensics, Security and Law
The article surveys the changing risk environment for corporations from their employees’ electronic communications. It identifies the types of liabilities that corporations can incur from such employee communications. It discusses the objectives of corporate internet use policies and the types of provisions such policies should contain. It suggests an alternative risk-based approach to corporate acceptable use policies instead of a traditional “laundry list” of internet use prohibitions.
Trends In Android Malware Detection, Kaveh Shaerpour, Ali Dehghantanha, Ramlan Mahmod
Trends In Android Malware Detection, Kaveh Shaerpour, Ali Dehghantanha, Ramlan Mahmod
Journal of Digital Forensics, Security and Law
This paper analyzes different Android malware detection techniques from several research papers, some of these techniques are novel while others bring a new perspective to the research work done in the past. The techniques are of various kinds ranging from detection using host based frameworks and static analysis of executable to feature extraction and behavioral patterns. Each paper is reviewed extensively and the core features of each technique are highlighted and contrasted with the others. The challenges faced during the development of such techniques are also discussed along with the future prospects for Android malware detection. The findings of the …
Table Of Contents
Journal of Digital Forensics, Security and Law
No abstract provided.
Analysis Of A Second Hand Google Mini Search Appliance, Stephen Larson
Analysis Of A Second Hand Google Mini Search Appliance, Stephen Larson
Journal of Digital Forensics, Security and Law
Information and the technological advancements for which mankind develops with regards to its storage has increased tremendously over the past few decades. As the total amount of data stored rapidly increases in conjunction with the amount of widely available computer-driven devices being used, solutions are being developed to better harness this data (LaTulippe, 2011). One of these solutions is commonly known as a search appliance. Search appliances have been used in e-discovery for several years. The Google Mini Search Appliance (Mini) has not only been used for e-discovery, but for indexing and searching internal documents. To accomplish these tasks, search …
The Advanced Data Acquisition Model (Adam): A Process Model For Digital Forensic Practice, Richard Adams, Val Hobbs, Graham Mann
The Advanced Data Acquisition Model (Adam): A Process Model For Digital Forensic Practice, Richard Adams, Val Hobbs, Graham Mann
Journal of Digital Forensics, Security and Law
As with other types of evidence, the courts make no presumption that digital evidence is reliable without some evidence of empirical testing in relation to the theories and techniques associated with its production. The issue of reliability means that courts pay close attention to the manner in which electronic evidence has been obtained and in particular the process in which the data is captured and stored. Previous process models have tended to focus on one particular area of digital forensic practice, such as law enforcement, and have not incorporated a formal description. We contend that this approach has prevented the …
Science Column: Reconstruction: The Experimental Side Of Digital Forensics, Fred Cohen
Science Column: Reconstruction: The Experimental Side Of Digital Forensics, Fred Cohen
Journal of Digital Forensics, Security and Law
Many in digital forensics seem to forget that the science part of digital forensics means experimentation and that implies a whole lot of things that most practitioners never learned.
Technology Corner: Calculating The Number Of Android Lock Patterns: An Unfinished Study In Number Theory, Gary C. Kessler
Technology Corner: Calculating The Number Of Android Lock Patterns: An Unfinished Study In Number Theory, Gary C. Kessler
Journal of Digital Forensics, Security and Law
Although one is unlikely to ever want to brute-force an Android lock pattern, many do wonder about the relative strength of the lock pattern versus a multidigit personal identification number (PIN). It becomes obvious pretty quickly that there are many more lock patterns than the 10,000 possible four-digit PINs.
Table Of Contents
Journal of Digital Forensics, Security and Law
No abstract provided.
Identifying And Attributing Similar Traces With Greatest Common Factor Analysis, Fred Cohen
Identifying And Attributing Similar Traces With Greatest Common Factor Analysis, Fred Cohen
Journal of Digital Forensics, Security and Law
This paper presents an algorithm for comparing large numbers of traces to each other and identifying and presenting groups of traces with similar features. It is applied to forensic analysis in which groups of similar traces are automatically identified and presented so that attribution and other related claims may be asserted, and independently confirmed or refuted. The approach of this paper is to identify an approximate algorithm that will find a large subset of greatest common factor similar groups of arbitrary factors in far less time and space than an exact algorithm using examiner-provided selection criteria for factor definition.
Table Of Contents
Journal of Digital Forensics, Security and Law
No abstract provided.