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Full-Text Articles in Physical Sciences and Mathematics
Minimally Actuated Walking: Identifying Core Challenges To Economical Legged Locomotion Reveals Novel Solutions, Ryan T. Schroeder, John Ea Bertram
Minimally Actuated Walking: Identifying Core Challenges To Economical Legged Locomotion Reveals Novel Solutions, Ryan T. Schroeder, John Ea Bertram
Research outputs 2014 to 2021
Terrestrial organisms adept at locomotion employ strut-like legs for economical and robust movement across the substrate. Although it is relatively easy to observe and analyze details of the solutions these organic systems have arrived at, it is not as easy to identify the problems these movement strategies have solved. As such, it is useful to investigate fundamental challenges that effective legged locomotion overcomes in order to understand why the mechanisms employed by biological systems provide viable solutions to these challenges. Such insight can inform the design and development of legged robots that may eventually match or exceed animal performance. In …
Forensic Analysis Of A Crash-Damaged Cheerson Cx-20 Auto Pathfinder Drone, Ian Noel Mcateer, Peter Hannay, Muhammad Imran Malik, Zubair Baig
Forensic Analysis Of A Crash-Damaged Cheerson Cx-20 Auto Pathfinder Drone, Ian Noel Mcateer, Peter Hannay, Muhammad Imran Malik, Zubair Baig
Research outputs 2014 to 2021
Long gone are the days when Unmanned Aerial Vehicles (UAVs) and drones (multirotor UAVs) were the exclusive domain of the military for surveillance or tactical strike purposes. For relatively little money mainly due to high-tech progression in microprocessor design, anyone can now purchase a drone with GNSS-tracking capabilities and can support a live high-resolution video feed to its flight controller. The global population of drones has sky- rocketed in recent years as this new technology has been embraced for both its recreational and commercial applications. However, the more nefarious members of society have also recognized the potential for using drones …
Sleep Monitor: A Tool For Monitoring And Categorical Scoring Of Lying Position Using 3d Camera Data, Martin Masek, Chiou Peng Lam, Cameron Tranthim-Fryer
Sleep Monitor: A Tool For Monitoring And Categorical Scoring Of Lying Position Using 3d Camera Data, Martin Masek, Chiou Peng Lam, Cameron Tranthim-Fryer
Research outputs 2014 to 2021
We present a software package for analysing body positions of a subject when they are lying or sleeping in their bed. The software is designed to interface to inexpensive sensors, such as the Microsoft Kinect, and is thus suitable for monitoring at the subjects own home, rather than a dedicated sleep lab. The system is invariant to bed clothing and levels of ambient lighting. Analysis time for a single night session is under five minutes, a significant improvement over the 30–60 min analysis time reported in the literature.
Bringing Defensive Artificial Intelligence Capabilities To Mobile Devices, Kevin Chong, Ahmed Ibrahim
Bringing Defensive Artificial Intelligence Capabilities To Mobile Devices, Kevin Chong, Ahmed Ibrahim
Australian Information Security Management Conference
Traditional firewalls are losing their effectiveness against new and evolving threats today. Artificial intelligence (AI) driven firewalls are gaining popularity due to their ability to defend against threats that are not fully known. However, a firewall can only protect devices in the same network it is deployed in, leaving mobile devices unprotected once they leave the network. To comprehensively protect a mobile device, capabilities of an AI-driven firewall can enhance the defensive capabilities of the device. This paper proposes porting AI technologies to mobile devices for defence against today’s ever-evolving threats. A defensive AI technique providing firewall-like capability is being …
Security Vulnerabilities In Android Applications, Crischell Montealegre, Charles Rubia Njuguna, Muhammad Imran Malik, Peter Hannay, Ian Noel Mcateer
Security Vulnerabilities In Android Applications, Crischell Montealegre, Charles Rubia Njuguna, Muhammad Imran Malik, Peter Hannay, Ian Noel Mcateer
Australian Information Security Management Conference
Privacy-related vulnerabilities and risks are often embedded into applications during their development, with this action being either performed out of malice or out of negligence. Moreover, the majority of the mobile applications initiate connections to websites, other apps, or services outside of its scope causing significant compromise to the oblivious user. Therefore, mobile data encryption or related data-protection controls should be taken into account during the application development phase. This paper evaluates some standard apps and their associated threats using publicly available tools and demonstrates how an ignorant user or an organisation can fall prey to such apps.
Xmpp Architecture And Security Challenges In An Iot Ecosystem, Muhammad Imran Malik, Ian Noel Mcateer, Peter Hannay, Syed Naeem Firdous, Zubair Baig
Xmpp Architecture And Security Challenges In An Iot Ecosystem, Muhammad Imran Malik, Ian Noel Mcateer, Peter Hannay, Syed Naeem Firdous, Zubair Baig
Australian Information Security Management Conference
The elusive quest for technological advancements with the aim to make human life easier has led to the development of the Internet of Things (IoT). IoT technology holds the potential to revolutionise our daily life, but not before overcoming barriers of security and data protection. IoTs’ steered a new era of free information that transformed life in ways that one could not imagine a decade ago. Hence, humans have started considering IoTs as a pervasive technology. This digital transformation does not stop here as the new wave of IoT is not about people, rather it is about intelligent connected devices. …
Mitigating Man-In-The-Middle Attacks On Mobile Devices By Blocking Insecure Http Traffic Without Using Vpn, Kevin Chong, Muhammad Imran Malik, Peter Hannay
Mitigating Man-In-The-Middle Attacks On Mobile Devices By Blocking Insecure Http Traffic Without Using Vpn, Kevin Chong, Muhammad Imran Malik, Peter Hannay
Australian Information Security Management Conference
Mobile devices are constantly connected to the Internet, making countless connections with remote services. Unfortunately, many of these connections are in cleartext, visible to third-parties while in transit. This is insecure and opens up the possibility for man-in-the-middle attacks. While there is little control over what kind of connection running apps can make, this paper presents a solution in blocking insecure HTTP packets from leaving the device. Specifically, the proposed solution works on the device, without the need to tunnel packets to a remote VPN server, and without special privileges such as root access. Speed tests were performed to quantify …
An Investigation Into A Denial Of Service Attack On An Ethereum Network, Richard Greene, Michael N. Johnstone
An Investigation Into A Denial Of Service Attack On An Ethereum Network, Richard Greene, Michael N. Johnstone
Australian Information Security Management Conference
Apart from its much-publicised use in crypto-currency, blockchain technology is used in a wide range of application areas, from diamonds to wine. The most common application of this technology is in smart contracts in supply chain management, where assurance of delivery and provenance are important. One problem for an Ethereum consortium is the potential for disruption caused by a Denial-of-Service attack across the consortium nodes. Such an attack can be launched from a single source or multiple sources to amplify the effect. This paper investigates the impact of various Denial-of-Service attacks on an Ethereum Consortium deployed on the Azure Cloud …
Review Of Deep Learning Methods In Robotic Grasp Detection, Shehan Caldera, Alexander Rassau, Douglas Chai
Review Of Deep Learning Methods In Robotic Grasp Detection, Shehan Caldera, Alexander Rassau, Douglas Chai
Research outputs 2014 to 2021
For robots to attain more general-purpose utility, grasping is a necessary skill to master. Such general-purpose robots may use their perception abilities to visually identify grasps for a given object. A grasp describes how a robotic end-effector can be arranged to securely grab an object and successfully lift it without slippage. Traditionally, grasp detection requires expert human knowledge to analytically form the task-specific algorithm, but this is an arduous and time-consuming approach. During the last five years, deep learning methods have enabled significant advancements in robotic vision, natural language processing, and automated driving applications. The successful results of these methods …