46 research outputs found
An assessment of email and spontaneous dialog visualizations
No full textAbstract not availableMarcus A. Butavicius, Michael D. Lee, Brandon M. Pincombe, Louise G. Mullen, Daniel J. Navarro, Kathryn M. Parsons and Agata McCorma
Infrared Image Enhancement and Human Detection Performance Measures
No full textThe ability to detect and recognise dangerous objects at a safe distance is a very important task in a number of defence, police and security applications. In this paper, we look at ways of increasing the effectiveness of infrared imagery for object recognition through processes such as super-resolution image reconstruction and deconvolution methods. In this paper, we propose two techniques for assessing image quality improvement: operator assessment and edge detection; and report on some initial work recently undertaken.K. Hanton, J. Sunde, M. Butavicius, V. Gluscevi
The design of phishing studies: challenges for researchers
No full textAbstract not availableKathryn Parsons, Agata McCormac, Malcolm Pattinson, Marcus Butavicius, Cate Jerra
Individual differences and Information Security Awareness
No full textAbstract not availableAgata McCormac, Tara Zwaans, Kathryn Parsons, Dragana Calic, Marcus Butavicius, Malcolm Pattinso
Improving infrared images for standoff object detection
No full textThe ability to detect dangerous objects (such as improvised explosive devices) from a distance is important in security and military environments. Standoff imaging can produce images that have been degraded by atmospheric turbulence, movement, blurring and other factors. The number and size of pixels in the imaging sensor can also contribute to image degradation through under-sampling of the image. Establishing processes that enhance degraded or under-sampled infrared images so that objects of interest can be recognised with more certainty is important. Super-resolution image reconstruction and deconvolution methods are explored, as well as performance improvement measures.Katherine Hanton, Marcus Butavicius, Ray Johnson and Jadranka Sund
Examining attitudes toward information security behaviour using mixed methods
No full textThis paper reports on a mixed-method research project that examined the attitudes of computer users toward accidental/naive information security (InfoSec) behaviour. The aim of this research was to investigate the extent to which attitude data elicited from repertory grid technique (RGT) interviewees support their responses collected via an online survey questionnaire. Twenty five university students participated in this two-stage project. Individual attitude scores were calculated for each of the research methods and were compared across seven behavioural focus areas using Spearman product-moment correlation coefficient. The two sets of data exhibited a small-to-medium correlation when individual attitudes were analysed for each of the focus areas. In summary, this exploratory research indicated that the two research approaches were reasonably complementary and the RGT interview results tended to triangulate the attitude scores derived from the online survey questionnaire, particularly in regard to attitudes toward Incident Reporting behaviour, Email Use behaviour and Social Networking Site Use behaviour. The results also highlighted some attitude items in the online questionnaire that need to be reviewed for clarity, relevance and non-ambiguity.M. Pattinson, M. Butavicius, K. Parsons, A. McCormac and C. Jerra
Super-resolution of infrared images: does it improve operator object detection performance?
No full textThe ability to detect dangerous objects (such as improvised explosive devices) from a distance is important in security and military environments. Standoff imaging can produce images that have been degraded by atmospheric turbulence, movement, blurring and other factors. The number and size of pixels in the imaging sensor can also contribute to image degradation through under-sampling of the image. Establishing processes that enhance degraded or under-sampled infrared images so that objects of interest can be recognised with more certainty is important. In this paper, super-resolution image reconstruction and deconvolution methods are explored, with an emphasis on quantifying and understanding human operator detection performance.Catherine Hanton, Jadranka Sunde, Marcus Butavicius and Nicholas R. Burn
Attention to internal face features in unfamiliar face matching
No full textAccurate matching of unfamiliar faces is vital in security and forensic applications, yet previous research has suggested that humans often perform poorly when matching unfamiliar faces. Hairstyle and facial hair can strongly influence unfamiliar face matching but are potentially unreliable cues. This study investigated whether increased attention to the more stable internal face features of eyes, nose, and mouth was associated with more accurate face-matching performance. Forty-three first-year psychology students decided whether two simultaneously presented faces were of the same person or not. The faces were displayed for either 2 or 6 seconds, and had either similar or dissimilar hairstyles. The level of attention to internal features was measured by the proportion of fixation time spent on the internal face features and the sensitivity of discrimination to changes in external feature similarity. Increased attention to internal features was associated with increased discrimination in the 2-second display-time condition, but no significant relationship was found in the 6-second condition. Individual differences in eye-movements were highly stable across the experimental conditions.Kingsley I. Fletcher, Marcus A. Butavicius and Michael D. Le
How to assess human visual performance on an operational task
No full textA methodology is presented for the assessment of human operator performance in a detection and identification task, using two sets of infrared images of natural outdoor scenes with everyday objects used as targets. It includes measures of effectiveness such as operator detection rate, identification rate, false alarm rate, response time, confidence levels and image quality ratings. This robust methodology could be used in the evaluation of any image improvement technique or to evaluate different imaging techniques or technologies.Katherine Hanton, Jadranka Sunde, Marcus Butavicius, Lakhmi C. Jain and Nicholas Burn
Factors that influence information security behavior: an Australian web-based study
No full textLecture Notes in Computer Science, vol 9190Information Security professionals have been attempting to convince senior management for many years that humans represent a major risk to the security of an organization’s computer systems and the information that these systems process. This major threat relates to the behavior of employees whilst they are using a computer at work. This paper examines the non-malicious computer-based behavior and how it is influenced by a mixture of individual, organizational and interventional factors. The specific factors reported herein include an employee’s age; education level; ability to control impulsivity; familiarity with computers; and personality. This research utilized the Qualtrics online web-based survey software to develop and distribute a questionnaire that resulted in 500 valid responses. The major conclusions of this research are that an employee’s accidental-naive behavior is likely to be less risky if they are more conscientious; older; more agreeable; less impulsive; more open; and, surprisingly, less familiar with computers.Malcolm Pattinson, Marcus Butavicius, Kathryn Parsons, Agata McCormac, and Dragana Cali
