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Physical Sciences and Mathematics Commons™
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Articles 1 - 7 of 7
Full-Text Articles in Physical Sciences and Mathematics
Image Similarity Using Dynamic Time Warping Of Fractal Features, Ahmed Ibrahim, Craig Valli
Image Similarity Using Dynamic Time Warping Of Fractal Features, Ahmed Ibrahim, Craig Valli
Australian Digital Forensics Conference
Hashing algorithms such as MD/SHA variants have been used for years by forensic investigators to look for known artefacts of interest such as malicious files. However, such hashing algorithms are not effective when their hashes change with the slightest alteration in the file. Fuzzy hashing overcame this limitation to a certain extent by providing a close enough measure for slight modifications. As such, image forensics is an essential part of any digital crime investigation, especially in cases involving child pornography. Unfortunately such hashing algorithms can be thwarted easily by operations as simple as saving the original file in a different …
A Profile Of Prolonged, Persistent Ssh Attack On A Kippo Based Honeynet, Craig Valli, Priya N. Rabadia, Andrew Woodward
A Profile Of Prolonged, Persistent Ssh Attack On A Kippo Based Honeynet, Craig Valli, Priya N. Rabadia, Andrew Woodward
Research outputs 2014 to 2021
This paper is an investigation focusing on activities detected by SSH honeypots that utilised kippo honeypot software. The honeypots were located across a variety of geographical locations and operational platforms. The honeynet has suffered prolonged, persistent and attack from a /24 network which appears to be of Chinese geographical origin. In addition to these attacks, other attackers have been successful in compromising real hosts in a wide range of other countries that were subsequently involved in attacking the honeypot machines in the honeynet.
A Survey And Method For Analysing Soho Router Firmware Currency, Nikolai Hampton, Patryk Szewczyk
A Survey And Method For Analysing Soho Router Firmware Currency, Nikolai Hampton, Patryk Szewczyk
Australian Information Security Management Conference
Network routers are a core component of contemporary SoHo networks. The firmware within these devices provides routing, control and monitoring functionality coupled with mechanisms to ensure a secure and reliable network. End-users are typically reliant on manufacturers to provide timely firmware updates to mitigate known vulnerabilities. An investigation was undertaken to identify the underlying software components used in the firmware of currently available, SoHo network devices used in Australia. Firmware from 37 devices was deconstructed to identify potential security issues; in each instance, the firmware images were found to include vulnerabilities, obsolete software and out-of-date operating system components. 95% of …
Loyalty Cards And The Problem Of Captcha: 2nd Tier Security And Usability Issues For Senior Citizens, David M. Cook, Apoorv Kumar, Charwina Unmar-Satiah
Loyalty Cards And The Problem Of Captcha: 2nd Tier Security And Usability Issues For Senior Citizens, David M. Cook, Apoorv Kumar, Charwina Unmar-Satiah
Australian Information Security Management Conference
Information Security often works in antipathy to access and useability in communities of older citizens. Whilst security features are required to prevent the disclosure of information, some security tools have a deleterious effect upon users, resulting in insecure practices. Security becomes unfit for purpose where users prefer to abandon applications and online benefits in favour of non-digital authentication and verification requirements. For some, the ability to read letters and symbols from a distorted image is a decidedly more difficult task than for others, and the resulting level of security from CAPTCHA tests is not consistent from person to person. This …
Analysis Into Developing Accurate And Efficient Intrusion Detection Approaches, Priya Rabadia, Craig Valli
Analysis Into Developing Accurate And Efficient Intrusion Detection Approaches, Priya Rabadia, Craig Valli
Australian Digital Forensics Conference
Cyber-security has become more prevalent as more organisations are relying on cyber-enabled infrastructures to conduct their daily actives. Subsequently cybercrime and cyber-attacks are increasing. An Intrusion Detection System (IDS) is a cyber-security tool that is used to mitigate cyber-attacks. An IDS is a system deployed to monitor network traffic and trigger an alert when unauthorised activity has been detected. It is important for IDSs to accurately identify cyber-attacks against assets on cyber-enabled infrastructures, while also being efficient at processing current and predicted network traffic flows. The purpose of the paper is to outline the importance of developing an accurate and …
Timing Attack Detection On Bacnet Via A Machine Learning Approach, Michael N. Johnstone, Matthew Peacock, J I. Den Hartog
Timing Attack Detection On Bacnet Via A Machine Learning Approach, Michael N. Johnstone, Matthew Peacock, J I. Den Hartog
Australian Information Security Management Conference
Building Automation Systems (BAS), alternatively known as Building Management Systems (BMS), which centralise the management of building services, are often connected to corporate networks and are routinely accessed remotely for operational management and emergency purposes. The protocols used in BAS, in particular BACnet, were not designed with security as a primary requirement, thus the majority of systems operate with sub-standard or non-existent security implementations. As intrusion is thus likely easy to achieve, intrusion detection systems should be put in place to ensure they can be detected and mitigated. Existing intrusion detection systems typically deal only with known threats (signature-based approaches) …
A Neuronal Classification System For Plant Leaves Using Genetic Image Segmentation, Oluleye Babatunde, Leisa Armstrong, Dean Diepeveen, Jinsong Leng
A Neuronal Classification System For Plant Leaves Using Genetic Image Segmentation, Oluleye Babatunde, Leisa Armstrong, Dean Diepeveen, Jinsong Leng
Research outputs 2014 to 2021
This paper demonstrates the use of radial basis networks (RBF), cellular neural networks (CNN) and genetic algorithm (GA) for automatic classication of plant leaves. A genetic neuronal system herein attempted to solve some of the inherent challenges facing current software being employed for plant leaf classication. The image segmentation module in this work was genetically optimized to bring salient features in the images of plants leaves used in this work. The combination of GA-based CNN with RBF in this work proved more ecient than the existing systems that use conventional edge operators such as Canny, LoG, Prewitt, and Sobel operators. …