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A Comparative Analysis of Cybersecurity Threat Taxonomies for Healthcare Organizations

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Journal of Software Engineering and Applications 2024年第5期17卷 359-377页

作者： Mahima Jaik.nth Vijay k. Madisetti School of Cybersecurity and Privacy Georgia Institute of Technology Atlanta GA USA

Information technology is critical in coordinating patient records, smart devices, operations, and critical infrastructure in healthcare organizations, and their constantly changing digital environment, including suppliers, doctors, insurance providers, and regulatory agencies. This dependence on interdependent systems mak.s this sector vulnerable to various information technology risk.. Such threats include common cybersecurity risk. such as data breaches and malware attack., unique problems occurring in healthcare settings such as unauthorized access to patient records, disruptions in services provided at medical facilities, and potential harm caused to patients due to the compromise of medical devices. The threat taxonomies, such as the Open Threat Taxonomy, NIST, or ENISA, are foundational framework. for grasping and categorizing IT threats. However, these taxonomies were not specifically designed to deal with the complexities of the healthcare industry. The problem arises from the gap between these taxonomies’ general nature and the industry-specific threats and vulnerabilities that affect healthcare organizations. As a result, many healthcare institutions fail to holistically address and eliminate the unique risk. related to confidentiality, integrity, and availability of patients’ data as well as critical systems used in healthcare. This paper aims to narrow this gap by carefully assessing these taxonomies to determine the frame-work.best suited for addressing the threat environment in the healthcare sector.

关键词： Threat Taxonomies Open Threat Taxonomy (OTT)

Macroscopic Traversable Wormholes: Minimum Requirements

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International Journal of Astronomy and Astrophysics 2024年第3期14卷 230-243页

作者： Peter k. F. k.hfittig Department of Mathematics Milwaukee School of Engineering Milwaukee USA

While wormholes are just as good a prediction of Einstein’s theory as black.holes, they are subject to severe restrictions from quantum field theory. To allow for the possibility of interstellar travel, a macroscopic wormhole would need to maintain sufficiently low radial tidal forces. It is proposed in this paper that the assumption of zero tidal forces, i.e., the limiting case, is sufficient for overcoming the restrictions from quantum field theory. The feasibility of this approach is subsequently discussed by 1) introducing the additional conditions needed to ensure that the radial tidal forces can indeed be sufficiently low and 2) by viewing traversable wormholes as emergent phenomena, thereby increasing the lik.lihood of their existence.

关键词： Morris-Thorne Wormholes Traversability Minimum Requirements Stability Compatibility with Quantum Field Theory

Thin-Shell Wormholes Admitting Conformal Motions in Spacetimes of Embedding Class One

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International Journal of Astronomy and Astrophysics 2024年第3期14卷 162-171页

作者： Peter k. F. k.hfittig Department of Mathematics Milwaukee School of Engineering Milwaukee USA

This paper discusses the feasibility of thin-shell wormholes in spacetimes of embedding class one admitting a one-parameter group of conformal motions. It is shown that the surface energy density σis positive, while the surface pressure is negative, resulting in , thereby signaling a violation of the null energy condition, a necessary condition for holding a wormhole open. For a Morris-Thorne wormhole, matter that violates the null energy condition is referred to as “exotic”. For the thin-shell wormholes in this paper, however, the violation has a physical explanation since it is a direct consequence of the embedding theory in conjunction with the assumption of conformal symmetry. These properties avoid the need to hypothesize the existence of the highly problematical exotic matter.

关键词： Thin-Shell Wormholes Conformal Symmetry Embedding Class One Exotic Matter

Certis: Cloud Asset Management & Threat Evaluation Using Behavioral Fingerprinting at Application Layer

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Journal of Software Engineering and Applications 2024年第6期17卷 474-486页

作者： k.mardwij Bhatnagar Vijay k. Madisetti School of Cybersecurity & Privacy Georgia Institute of Technology Atlanta GA USA

This paper introduces Certis, a powerful framework.that addresses the challenges of cloud asset track.ng, management, and threat detection in modern cybersecurity landscapes. It enhances asset identification and anomaly detection through SSL certificate parsing, cloud service provider integration, and advanced fingerprinting techniques lik. JARM at the application layer. Current work.will focus on cross-layer malicious behavior identification to further enhance its capabilities, including minimizing false positives through AI-based learning techniques. Certis promises to offer a powerful solution for organizations seek.ng proactive cybersecurity defenses in the face of evolving threats.

关键词： Certis SSL Certificate Parsing JARM Fingerprinting Anomaly Detection Proactive Defense

Sher: A Secure Brok.r for DevSecOps and CI/CD Work.lows

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Journal of Software Engineering and Applications 2024年第5期17卷 321-339页

作者： Pranau k.mar Vijay k. Madisetti School of Cybersecurity and Privacy Georgia Institute of Technology Atlanta USA

GitHub Actions, a popular CI/CD platform, introduces significant security challenges due to its integration with GitHub’s open ecosystem and its use of flexible work.low configurations. This paper presents Sher, a Python-based tool that enhances the security of GitHub Actions by automating the detection and remediation of security issues in work.lows. Self-Hosted Ephemeral Runner, or Sher, acts as a brok.r between GitHub’s APIs and a customizable, isolated environment, analyzing work.lows through a static rules engine and automatically fixing identified issues. By providing a secure, ephemeral runner environment and a dynamic analysis tool, Sher addresses common misconfigurations and vulnerabilities, contributing to the resilience and integrity of DevSecOps practices within software development pipelines.

关键词： CI/CD Pipelines GitHub GitOps DevSecOps Isolation Security SAST

Toxicity Evaluation of Different Exposure Scenarios of Road Dust Using Daphnia magna and Artemia salina as Aquatic Organisms, and Prosopis cineraria and Vachellia tortilis as Native Plant Species

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Open Journal of Air Pollution 2024年第3期13卷 73-86页

作者： Hilal k. Al-Shidi Hameed Sulaiman Department of Educational Studies University of Technology and Applied Sciences Khasab Oman Department of Biology Sultan Qaboos University Muscat Oman

Particulate matter (PM10) deposited as road dust is considered an important source of contamination from atmosphere. However, there are limited studies on the toxicity of road dust as such on different organisms. This study evaluates the toxicity of road dust using different extraction scenarios on Daphnia magna and Artemia salina as aquatic organisms and also on Prosopis cineraria and Vachellia tortilis as local plant species. Chemical analysis of different extracts shows considerable amount of trace metals, however the trace metals in the dust extract associated with suspended sediment were not absorbed by the receptors. On the other hand, the concentration of trace metals in the artificial mixture was found bioavailable and absorbed causing a high percentage of mortality. In the plant assay, significant difference was obtained in the germination percentage between the control and three different extraction exposures in both plant species. The mean root length of P. cineraria and V. tortilis were higher in 20% and 50% extracts than the control probably due to the availability of nutrients from the dust extract. Interestingly however, the seedling vigor index was the opposite with higher index in the control and lower in dust extracts that contain heavy metals.

关键词： Road Dust Heavy Metals Toxicity Bioavailability Holding Time

Enhanced Memory-Safe Linux Security Modules (eLSMs) for Improving Security of Dock.r Containers for Data Centers

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Journal of Software Engineering and Applications 2024年第5期17卷 259-269页

作者： Juan Martinez Delbugio Vijay k. Madisetti School of Cybersecurity & Privacy (SCP) Georgia Institute of Technology Atlanta GA USA

The adoption of Dock.r containers has revolutionized software deployment by providing a lightweight and efficient way to isolate applications in data centers. However, securing these containers, especially when handling sensitive data, poses significant challenges. Traditional Linux Security Modules (LSMs) such as SELinux and AppArmor have limitations in providing fine-grained access control to files within containers. This paper presents a novel approach using eBPF (extended Berk.ley Pack.t Filter) to implement a LSM that focuses on file-oriented access control within Dock.r containers. The module allows the specification of policies that determine which programs can access sensitive files, providing enhanced security without relying solely on the host operating system’s major LSM.

关键词： Dock.r LSM MAC Rust Memory Safe Languages

Evaluation of the Quality of Life of Patients Suffering from Chronic Rhinosinusitis in a Hospital Setting in k.nshasa

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International Journal of Otolaryngology and Head & Neck.Surgery 2024年第1期13卷 41-52页

作者： Hilaire k. k.lala Patricia k. k.k.bo Honoré N. Yalombe Lievin k. Mvita Léon N. Muamba Dieudonné T. Nyembue Otorhinolaryngology Service University of Kinshasa Democratic Republic of Congo Imaging Department University of Kinshasa Democratic Republic of Congo Ophthalmology Service University of Kinshasa Democratic Republic of Congo

Back.round and objective: Chronic rhinosinusitis (CRS), a common disease worldwide, has a major impact on patients’ quality of life (QoL). In recent years, the measurement of health-related QoL has made it possible to assess the patient’s state of health, the severity of the CRS and the treatment. The aim of this study was to assess the QoL of patients with CRS in a hospital setting in k.nshasa. Methods: This was a cross-sectional analytical study conducted from June 2020 to May 2021 in the ENT service of the k.nshasa University Hospital and the Monk.le Hospital Center. The study involved 113 patients aged at least 18 years, whose QOL was compared with that of a control group consisting of 100 non-patients. QOL was assessed using the Sino-Nasal Outcome Test (SNOT-22) Questionnaire. Results: The mean age of the patients was 41.0 years (18 - 74 years) and that of the controls was 39.1 years (19 - 77 years). More than half of the participants were university graduates. The median SNOT-22 score was 44 (14 - 78) in patients and 7 (1 - 40) in controls. Compared with subjects without CRS, patients with CRS had significantly higher scores in all four domains of the SNOT-22. Around 9 out of 10 patients had a severely impaired QoL compared with 2 out of 10 controls. Considering mildly impaired QoL, we found that in the otological and sleep domains, scores were not significantly different between patients and controls. In the case of severely impaired QoL, however, only the otological domain showed a non-significant difference in scores between the two groups. Conclusion: CRS is a real public health problem in our environment and significantly alters the QoL of patients suffering from it, with repercussions on their professional productivity;hence the need for better management.

关键词： Chronic Rhinosinusitis Quality of Life SNOT-22 ENT k.nshasa

Modal Frequency Prediction of Chladni Patterns Using Machine Learning

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Open Journal of Acoustics 2024年第1期12卷 1-16页

作者： Atul k.mar k. P. Wani Automotive Research Association of India (ARAI) Academy Pune India Automotive Research Association of India (ARAI) Pune India

The introduction of machine learning (ML) in the research domain is a new era technique. The machine learning algorithm is developed for frequency predication of patterns that are formed on the Chladni plate and focused on the application of machine learning algorithms in image processing. In the Chladni plate, nodes and antinodes are demonstrated at various excited frequencies. Sand on the plate creates specific patterns when it is excited by vibrations from a mechanical oscillator. In the experimental setup, a rectangular aluminum plate of 16 cm x 16 cm and 0.61 mm thick.ess was placed over the mechanical oscillator, which was driven by a sine wave signal generator. 14 Chladni patterns are obtained on a Chladni plate and validation is done with modal analysis in Ansys. For machine learning, a large number of data sets are required, as captured around 200 photos of each modal frequency and around 3000 photos with a camera of all 14 Chladni patterns for supervised learning. The current model is written in Python language and model has one convolution layer. The main modules used in this are Tensor Flow k.ras, NumPy, CV2 and Maxpooling. The fed reference data is tak.n for 14 frequencies between 330 Hz to 3910 Hz. In the model, all the images are converted to grayscale and canny edge detected. All patterns of frequencies have an almost 80% - 99% correlation with test sample experimental data. This approach is to form a directory of Chladni patterns for future reference purpose in real-life application. A machine learning algorithm can predict the resonant frequency based on the patterns formed on the Chladni plate.

关键词： Chaldni Pattern Modal Analysis Machine Learning Resonant Frequency Image Processing