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Articles 1 - 7 of 7
Full-Text Articles in Physical Sciences and Mathematics
Gradient Descent Localization In Wireless Sensor Networks, Nuha A.S. Alwan, Zahir M. Hussain
Gradient Descent Localization In Wireless Sensor Networks, Nuha A.S. Alwan, Zahir M. Hussain
Research outputs 2014 to 2021
Meaningful information sharing between the sensors of a wireless sensor network (WSN) necessitates node localization, especially if the information to be shared is the location itself, such as in warehousing and information logistics. Trilateration and multilateration positioning methods can be employed in two-dimensional and threedimensional space respectively. These methods use distance measurements and analytically estimate the target location; they suffer from decreased accuracy and computational complexity especially in the three-dimensional case. Iterative optimization methods, such as gradient descent (GD), offer an attractive alternative and enable moving target tracking as well. This chapter focuses on positioning in three dimensions using time-of-arrival …
A Novel Privacy Preserving User Identification Approach For Network Traffic, Nathan Clarke, Fudong Li, Steven Furnell
A Novel Privacy Preserving User Identification Approach For Network Traffic, Nathan Clarke, Fudong Li, Steven Furnell
Research outputs 2014 to 2021
The prevalence of the Internet and cloud-based applications, alongside the technological evolution of smartphones, tablets and smartwatches, has resulted in users relying upon network connectivity more than ever before. This results in an increasingly voluminous footprint with respect to the network traffic that is created as a consequence. For network forensic examiners, this traffic represents a vital source of independent evidence in an environment where anti-forensics is increasingly challenging the validity of computer-based forensics. Performing network forensics today largely focuses upon an analysis based upon the Internet Protocol (IP) address – as this is the only characteristic available. More typically, …
A Feature-Based Structural Measure: An Image Similarity Measure For Face Recognition, Noor A. Shnain, Zahir Hussain, Song F. Lu
A Feature-Based Structural Measure: An Image Similarity Measure For Face Recognition, Noor A. Shnain, Zahir Hussain, Song F. Lu
Research outputs 2014 to 2021
Facial recognition is one of the most challenging and interesting problems within the field of computer vision and pattern recognition. During the last few years, it has gained special attention due to its importance in relation to current issues such as security, surveillance systems and forensics analysis. Despite this high level of attention to facial recognition, the success is still limited by certain conditions; there is no method which gives reliable results in all situations. In this paper, we propose an efficient similarity index that resolves the shortcomings of the existing measures of feature and structural similarity. This measure, called …
A Compact, Flexible Fiber-Optic Surface Plasmon Resonance Sensor With Changeable Sensor Chips, David Michel, Feng Xiao, Kamal Alameh
A Compact, Flexible Fiber-Optic Surface Plasmon Resonance Sensor With Changeable Sensor Chips, David Michel, Feng Xiao, Kamal Alameh
Research outputs 2014 to 2021
We propose and demonstrate the concept of a novel compact, flexible fiber optic Surface Plasmon Resonance (SPR) sensor based on a double-pass Kretschmann-type configuration, where the SPR sensor chip can be replaced for various sensing applications. Simulation and experimental results demonstrate that the proposed fiber-optic SPR structure has a sensitivity to salt concentration of around 4.8 μW/ppt.
Insider Misuse Identification Using Transparent Biometrics, Nathan Clarke, Fudong Li, Abdulrahman Alruban, Steven Furnell
Insider Misuse Identification Using Transparent Biometrics, Nathan Clarke, Fudong Li, Abdulrahman Alruban, Steven Furnell
Research outputs 2014 to 2021
Insider misuse is a key threat to organizations. Recent research has focused upon the information itself – either through its protection or approaches to detect the leakage. This paper seeks a different approach through the application of transparent biometrics to provide a robust approach to the identification of the individuals who are misusing systems and information. Transparent biometrics are a suite of modalities, typically behavioral-based that can capture biometric signals covertly or non-intrusively – so the user is unaware of their capture. Transparent biometrics are utilized in two phases a) to imprint digital objects with biometric-signatures of the user who …
Using Journals To Assess Non-Stem Student Learning In Stem Courses: A Case Study In Cybersecurity Education, Gary C. Kessler, Glenn S. Dardick, Douglas L. Holton
Using Journals To Assess Non-Stem Student Learning In Stem Courses: A Case Study In Cybersecurity Education, Gary C. Kessler, Glenn S. Dardick, Douglas L. Holton
Research outputs 2014 to 2021
Embry-Riddle Aeronautical University offers a minor course of study in cybersecurity as an option in our undergraduate Homeland Security program. Since the students are, by and large, social scientists, the focus of the program is to build hyper-awareness of how cybersecurity integrates within their professional aspirations rather than to provide cybersecurity career-level proficiency. Assessing student learning of the technical aspects cannot be performed using traditional tests, as they would not properly measure what the students are learning in a practical sense. Instead, we employ journals and self-reflection to ask the students to express and demonstrate their learning. Although somewhat harder …
Broadband Router Security: History, Challenges And Future Implications, Patryk Szewczyk, Rose Macdonald
Broadband Router Security: History, Challenges And Future Implications, Patryk Szewczyk, Rose Macdonald
Research outputs 2014 to 2021
Consumer grade broadband routers are integral to accessing the Internet and are primarily responsible for the reliable routing of data between networks. Despite the importance of broadband routers, security has never been at the forefront of their evolution. Consumers are often in possession of broadband routers that are rich in consumer-orientated features yet riddled with vulnerabilities that make the routers susceptible to exploitation. This amalgamation of theoretical research examines consumer grade broadband routers from the perspective of how they evolved, what makes them vulnerable, how they are targeted, and the challenges concerning the application of security. The research further explores …