Digital Commons Network^™

Anomaly Detection In Encrypted Https Traffic Using Machine Learning: A Comparative Analysis Of Feature Selection Techniques, Hind Raad Ibraheem, Nashwan Dheyaa Zaki, Mohammed Ibrahim Al-Mashhadani

Mesopotamian Journal of Computer Science

With the increasing use of encryption in network traffic, anomaly detection in encrypted traffic has become a challenging problem. This study proposes an approach for anomaly detection in encrypted HTTPS traffic using machine learning and compares the performance of different feature selection techniques. The proposed approach uses a dataset of HTTPS traffic and applies various machine learning models for anomaly detection. The study evaluates the performance of the models using various evaluation metrics, including accuracy, precision, recall, F1-score, and area under the curve (AUC). The results show that the proposed approach with feature selection outperforms other existing techniques for anomaly …

Security And Privacy In Iot-Based Healthcare Systems: A Review, Omar Ibrahim Obaid, Saba Abdul-Baqi Salman

Mesopotamian Journal of Computer Science

IoT-based healthcare solutions have transformed patient care and improved results. These technologies capture and store sensitive patient data, raising security and privacy concerns. The paper first discusses IoT-based healthcare system security issues. It evaluates cyber threats, system unavailability, and vulnerabilities attackers can use to get patient data. The report also tackles IoT-based healthcare system privacy issues such illegal data access and sharing and patient data breach concerns. The study proposes numerous frameworks and solutions to protect patient data in IoT-based healthcare systems. Blockchain technology can increase data security and privacy by offering a transparent, decentralized, tamperresistant database. The report also …

A Comparison Of Two Generalizations To The Linear Sampling Method For Inverse Scattering, Yeasmin Sultana, James E. Richie

Electrical and Computer Engineering Faculty Research and Publications

The linear sampling method (LSM) is a very popular method for determining the boundary of an object from the scattered field. However, there are instances where LSM provides the convex hull of the boundary rather than the true boundary. There are two common generalizations to LSM: the Generalized Linear Sampling Method (GLSM) and the Multipoles-based Linear Sampling Method (MLSM). In this paper, the ability of GLSM and MLSM to overcome some of the deficiencies of LSM are investigated. It is found that GLSM may be ideal for imaging thin features of scatterers and that MLSM can provide an improvement over …

A Call For Critically Inclined Higher Education Data, Wendy A. Fish

Electronic Theses and Dissertations

The economic logic of neoliberalism has reached its zenith—now firmly entrenched in our political, social, and cultural transactions (Giroux, 2014; Harvey, 2005). As a result, we stand on the precipice of a new era—the data era—in which neoliberalism’s orientation towards accountability, micro-management, and hierarchical ordering mediates all social and political narratives. Data, it is said, is fast becoming “the new oil”—the most valuable global resource (Bhageshpur, 2019; Harari, 2018).

This is problematic. Although there are countless ways in which the application of data has improved the world, it has a long, dark history as a technology of oppression. Yet, data …

2021 West Los Angeles Data Summary, Gary Bishop

Fuel Efficiency Automobile Test Publications

Simple data summary for 2021 West Los Angeles on-road emission measurements.

2022 Oakland Ca Data Summary, Gary Bishop

Fuel Efficiency Automobile Test Publications

Simple data summary for 2022 on-road vehicle emission measurements from Oakland CA.

Application Of Neuromorphic Olfactory Approach For High-Accuracy Classification Of Malts, Anup Vanarse, Adam Osseiran, Alexander Rassau, Peter Van Der Made

Research outputs 2022 to 2026

Current developments in artificial olfactory systems, also known as electronic nose (e-nose) systems, have benefited from advanced machine learning techniques that have significantly improved the conditioning and processing of multivariate feature-rich sensor data. These advancements are complemented by the application of bioinspired algorithms and architectures based on findings from neurophysiological studies focusing on the biological olfactory pathway. The application of spiking neural networks (SNNs), and concepts from neuromorphic engineering in general, are one of the key factors that has led to the design and development of efficient bioinspired e-nose systems. However, only a limited number of studies have focused on …

Predictive Maintenance Of Critical Equipment For Floating Liquefied Natural Gas Liquefaction Process, Rabiu Mohammed Rabiu

School of Engineering, Computing and Mathematics Theses

Predictive Maintenance of Critical Equipment for Liquefied Natural Gas Liquefaction Process Meeting global energy demand is a massive challenge, especially with the quest of more affinity towards sustainable and cleaner energy. Natural gas is viewed as a bridge fuel to a renewable energy. LNG as a processed form of natural gas is the fastest growing and cleanest form of fossil fuel. Recently, the unprecedented increased in LNG demand, pushes its exploration and processing into offshore as Floating LNG (FLNG). The offshore topsides gas processes and liquefaction has been identified as one of the great challenges of FLNG. Maintaining topside liquefaction …

Deterministic And Stochastic Theory For A Resonant Triad, David Andrade, Raphael Stuhlmeier

School of Engineering, Computing and Mathematics

We study a simple model of three resonantly-interacting nonlinear waves. Linear stability analysis allows for an easy identification of stable and unstable initial conditions. Subsequently, a reformulation of the problem allows us to establish the onset of phase coherence, demonstrating its critical role in the growth of instabilities. Furthermore, we are able to provide explicit expressions for the time-varying moments of the modal amplitudes, as well as for the bispectrum which measures phase coherence. We provide direct insight into the long-time statistics of the system without Monte-Carlo simulation. This includes long-time asymptotics, which show that the system desynchronises, leading to …

A Review Of Thermal Impact Of Surface Acoustic Waves On Microlitre Droplets In Medical Applications, Mubbashar Mehmood, Umar F. Khan, Ali O.M. Maka, Javed Akhter, Tariq Nawaz Chaudhary, Faisal Masood, Sameer Ahmad Hasan, Yeaw Chu Lee

School of Engineering, Computing and Mathematics

The surface acoustic waves (SAW) propagate inside the microdroplets resulting in kinetic and thermal impacts. The kinetic drives fluid particles inside the droplet while thermal impact increases the liquid’s temperature. This paper provides a comprehensive review of the research investigations related to internal kinetics and heating inside the microdroplet caused by the acoustic waves. The main factors that affect the kinetics and convection heat transfer are the piezoelectric materials, shape of the interdigital transducer (IDT) and mode of acoustic waves. Internal streaming (kinetic) leads to particle mixing, particle manipulation, cell sorting, cell patterning, cell separation, measuring the concentration of immunoglobulin …

Xandar: A Holistic Cybersecurity Engineering Process For Safety-Critical And Cyber-Physical Systems, Fahad Siddiqui, Rafiullah Khan, Sakir Sezer, Kieran Mclaughlin, Leonard Masing, Tobias Dorr, Florian Schade, Jurgen Becker, Alexander Ahlbrecht, Wanja Zaeske, Umut Durak, Nico Adler, Andreas Sailer, Raphael Weber, Thomas Wilhelm, Geza Nemeth, Victor Morales, Paco Gomez, Georgios Keramidas, Cp Antonopoulos, Michail Mavropoulos, Vasilios Kelefouras, K Antonopoulos, Nikolaos Voros, Christos Panagiotou, Dimitris Karadimas

School of Engineering, Computing and Mathematics

The integration of connected and autonomous technologies in safety-critical and cyber-physical systems offers great potential in the vital application domains of transportation, manufacturing and aerospace. These technological advancements are necessary to meet the increasing demand for intelligent services, as they open doors to new business models by analysing and sharing the generated data. However, where this sharing of mix-critical data and broader connectivity brings opportunities, it simultaneously presents serious cybersecurity and safety risks due to the cyber-physical nature of these systems. Hence, delivering these intelligent services securely, safely, and reliably to its consumers is a complex engineering and design problem. …

Increase Student Engagement In Online Writing Environments, Jonathan Balzotti, Jason K. Mcdonald, Kevin Haws, Amy Allen Rogers, Matthew J. Baker

Faculty Publications

This case study explores a type of educational simulation, an alternative reality game we call a playable case study (PCS), and how its use influenced student engagement in an online writing classroom. The goal of the simulation was to help students create professional communication artifacts and experience real-world professional communication situations. This article reports the effectiveness of the playable case study as a tool specifically for online writing instruction (OWI). The context of our research was a PCS called Microcore. Acting as interns for a company, students are asked to investigate a serious problem that occurs and present a solution …

Partially Oxidised Boron Nitride As A 2d Nanomaterial For Nanofiltration Applications, Natalia Garcıa Domenech, Aine Coogan, Finn Purcell Milton, María Luisa Casasín Garcia, Adrián Sanz Arjona, Marc Brunet Cabré, Aran Rafferty, Kim Mckelvey, Peter Dunne, Yurii K. Gun'ko

Articles

Access to clean water has become increasingly scarce in recent years due to various factors, such as increasing population density, urbanisation, and inequality, among others.1 The development of new, inexpensive, and reliable methods for the removal of various impurities and toxins from water is therefore vital. In recent years, the emergence of nanofiltration (NF) membranes has become an exciting prospect for water purification. NF can be described as a type of filtration which exhibits separation characteristics in between reverse osmosis and ultrafiltration, and typically has molecular weight cut-offs in the region of 200–1000 Daltons.2,3 Various nanomaterials have been implemented in …

Levy Enhanced Cross Entropy-Based Optimized Training Of Feedforward Neural Networks, Kartik Pandya, Pratik Mochi, Dharmesh Dabhi, Vipul Rajput

Research Outputs: 2025-Present

An Artificial Neural Network (ANN) is one of the most powerful tools to predict the behavior of a system with unforeseen data. The feedforward neural network is the simplest, yet most efficient topology that is widely used in computer industries. Training of feedforward ANNs is an integral part of an ANN-based system. Typically an ANN system has inherent non-linearity with multiple parameters like weights and biases that must be optimized simultaneously. To solve such a complex optimization problem, this paper proposes the Levy Enhanced Cross Entropy (LE-CE) method. It is a population-based meta-heuristic method. In each iteration, this method produces …

Risk Based Day-Ahead Energy Resource Management With Renewables Via Computational Intelligence, Pratik Mochi, Kartik S. Pandya, Dharmesh Dabhi, Vipul N. Rajput

Research Outputs: 2025-Present

An indeterminate and variable nature of renewable energy sources like solar photovoltaic, wind power, load consumption, electric vehicles trips and market spot prices, make the operation and control of energy management system quite complex. Also, it is expected that the system should be consistent and resilient in case of extreme events like faults, hurricanes etc. This paper has used the risk based optimization strategies considering uncertainty of aforementioned parameters to minimize the operational cost of the aggregator. A 13-bus practical distribution system with 15-scenarios (03-scenarios as extreme events with high impact) are considered as a test system. WCCI-2018 award winning, …

Incremental Improvements: Examining Instructional Changes And Rationales Of K-12 Online Teachers Using The Picrat And 4e Frameworks, Jered Borup, Rocio Quiroga Velasquez, Charles R. Graham, Leanna Archambault, Royce Kimmons

Faculty Publications

Teacher preparation programs have been slow to prepare teachers for the online environment, leaving many online teachers needing to learn on the job. However, little research has examined how online teachers grow as educators. One way to better understand this growth is to examine the changes online teachers make in their instruction and their rationales for making them. In this qualitative case study, we surveyed online teachers three times during an academic year regarding their instructional changes. Participants described these changes and categorized them on a modified PICRAT matrix to indicate if the changes made student learning more passive, interactive, …

Supporting Educators Towards More Inclusive Design Of Entrepreneurship Courses, Sylvia Gavigan, Iulia Clitan, Antonio Juan Briones Penalver, Deirdre Mcquillan, Ovidiu Stan, Antonia Christou

Papers

This paper explores inclusive entrepreneurship course design across European universities. Drawing a sample of six cases across five universities the paper adopts a multiple case study research design to explore how educators are supporting the Missing Entrepreneurs according to the OECD definition (women, people with disability, refugees and migrants, young people and seniors). The findings show interesting and innovative pedagogical approaches to emerge by analogy and replication. The paper provides empirical and practical contribution for educators in terms of developing entrepreneurship courses according to the principles of universal design for learning drawing on needs of the Missing Entrepreneurs. The Paper …

Re-Imagining Andragogy For Innovative And Inclusive Leadership Training For Minority Women In Higher Education, Sylvia Gavigan, Nicholas Kiruma, Liz Murphy, Kingsley Author

Papers

The purpose of this case study undertaken in 2021 was to explore the different ways educators in higher education might implement innovative andragogical practices for inclusive leadership training for minority women. There is need for minority women to develop abilities to make personal adjustments as well as receive support from external structures if they are to benefit from leadership training programs and to be successful leaders (Flower, 2021). The potential for innovation to shift towards a more engaged form of teaching and learning is very important in the 21st Century especially for the inclusion of minority women in leadership in …

Range Extension For Electromagnetic Detection Of Subsea Power And Telecommunication Cables, T. Szyrowski, A. Khan, R. Pemberton, S. K. Sharma, Y. Singh, R. Polvara

School of Engineering, Computing and Mathematics

Subsea cables protection afforded by burying a cable [beneath the sea bed] also means that the available methods for their survey are drastically reduced. From the existing methods only electromagnetics (EM) detection can penetrate the sea bed and provide an effective means for cable localisation. However, EM waves attenuate faster in conductive media such as sea water. EM localisation is considered a short range detection mechanism requiring the use of autonomous or remotely operated underwater platforms. In this paper, the authors investigate the range of EM detection and test detection distances exceeding one hundred metres. The EM signal was detected …

A Concept Approach For Network Slicing In Wireless Mesh Disaster Networks, A Seng, U Trick, A Lehmann, B Ghita

School of Engineering, Computing and Mathematics

No abstract provided.

Approximate Bayesian Conditional Copulas, Clara Grazian, L Dalla Valle, Brunero Liseo

School of Engineering, Computing and Mathematics

No abstract provided.

Covid Lockdowns In The Uk: Estimating Their Effects On Transmission, Emily Prestige, Julian Stander, Yinghui Wei

School of Engineering, Computing and Mathematics

No abstract provided.

On Sir David Cox's Publications, Mario Cortina Borja, Julian Stander, Giovanni Sebastiani

School of Engineering, Computing and Mathematics

No abstract provided.

Fea Modelling And Environmental Assessment Of A Thin-Walled Composite Drive Shaft, Joseph Searle, Maozhou Meng, John Summerscales

School of Engineering, Computing and Mathematics

Fibre reinforced plastics (FRP) composites have been widely used in the automotive industry with the primary focus on reduced mass. However, there are relatively few reports on their application on power transmission components, such as drive shafts. This paper explores the feasibility of replacing the traditional structural steel by light weight FRP composites in a drive shaft. Three FRP composites are considered against a steel drive shaft; basalt/epoxy, carbon/epoxy, and CNT (carbon nanotubes) reinforced carbon/epoxy composites. The mechanical performance was analysed by finite element analysis (FEA) tool and classical laminate theory (CLT), while the environmental performance was evaluated by life …

Normative Data On The Foveal Avascular Zone In A Young Healthy Irish Population Using Optical Coherence Tomography Angiography, Susan M. O'Shea, Veronica O'Dwyer, Grainne Scanlon

Articles

Purpose: To establish normative data on the size, shape and vascular profile of the foveal avascular zone (FAZ) in a young, healthy, Irish population, using the Cirrus 5000 HD-OCT. Certain diseases may alter FAZ appearance. Normative databases provide normal baseline values for comparison, thus improving diagnostic ability.

Methods: One hundred and fifty-four subjects aged 18–35 years old were recruited. Superficial FAZ area, diameter, circularity, ganglion cell layer, central macular thickness (CMT), vascular perfusion and density were measured using the Cirrus 5000. Axial length was measured with the IOL Master and blood pressure was measured using the Omron sphygmomanometer. …

Real-World Smartphone-Based Gait Recognition, Hind Alobaidi, Nathan Clarke, Fudong Li, Abdulrahmanalruban

School of Engineering, Computing and Mathematics

No abstract provided.

Synthesis Of Fast Curing, Water-Resistant And Photopolymerizable Glass For Recording Of Holographic Structures By One- And Two-Photon Lithography, Tatsiana Mikulchyk, Mohamed Oubaha, Alicja Kaworek, Brendan Duffy, Markus Lunzer, Aleksandr Ovsianikov, Sabad-E Gul, Izabela Naydenova, Dervil Cody

Articles

Advancements in hybrid sol-gel technology have provided a new class of holographic materials as photopolymerizable glasses. Recently, a number of photosensitive glass compositions with high dynamic range and high spatial resolution have been reported and their excellent capability for volume holography has been demonstrated. Nevertheless, challenges remain, particularly in relation to the processing time and environmental stability of these materials, that strongly affect the performance and durability of the fabricated holograms. State-of-the-art photopolymerizable glasses possess long curing times (few days) required to achieve thick films, thus limiting the industrial implementation of this technology and its commercial viability. This article presents …

Validity Of Small-Scale Yielding Regime In Notched-Cracked Geometries, Mf Borges, Fv Antunes, Dm Neto, Jm Vasco-Olmo, Fa Díaz, Mn James

School of Engineering, Computing and Mathematics

No abstract provided.

A Computational Method To Track The Evolution Of Business Models In The Digital Economy, Z Wood, D Walker, G Parry

School of Engineering, Computing and Mathematics

Companies within the Digital Economy are evolving their business models as they take advantage of the opportunities afforded by emerging digital technologies. There is a need to develop methods that will allow researchers and policy makers to understand the existence of, and relationships between, the different business models within the Digital Economy and track their evolution. Such methods could also help quantify the size and growth of the Digital Economy. This paper presents a computational method, which utilizes machine learning and web scraping, to identify new business models, and a taxonomy of organisations, through the analysis of a firm's webpage. …

Resilient Placement Of Vnfs And Distributed Mano Components In A Wmn-Based Nfv Infrastructure, G Frick, U Trick, A Lehmann, B Ghita

School of Engineering, Computing and Mathematics

No abstract provided.