A semi-automated HTTP traffic analysis for online payments for empowering security, forensics and privacy analysis

The paper discusses means to identify potential impacts of data flows on customers’ security, and privacy during online payments. The main objectives of our research are looking into the evolution of cybercrime new trends of online payments and detection, more precisely the usage of mobile phones, and describing methodologies for digital trace identification in data flows for potential online payment fraud. The paper aims to identify potential actions for identity theft while conducting the Reconnaissance step of the kill chain, and documenting a forensic methodology for guidance and further data collection for law enforcement bodies. Moreover, a secondary objective of the paper is to identify, from a user’s perspective, transparency issues of data sharing among involved parties for online payments. We thus declare the transparency analysis as the incident triggering a forensic examination. Hence, we devise a semi-automated traffic analysis approach, based on previous work, to examine data flows, and data exchanged among parties in online payments. For this, the main steps are segmenting traffic generated by the process payment, and other sources, subsequently, identifying data streams in the process. We conduct three tests which include three different payment gateways: PayPal, Klarna-sofort, and Amazon Pay. The experiment setup requires circumventing TLS encryption for the correct identification of forensic data types in TCP/IP traffic, and potential data leaks. However, it requires no extensive expertise in mobile security for its installation. In the results, we identified some important security vulnerabilities from some payment APIs that pose financial and privacy risks to the marketplace’s customers.Transformationsvertra

Production of Electrical Porcelain Insulators from Local Raw Materials: A Review

This paper reviewed the production of electric porcelain insulators utilizing from local raw materials from developing countries. The raw materials used were feldspar, quartz/silica and kaolin. The chemical composition, mineralogy, and thermal properties of the raw materials were characterized using AAS, XRD, and TGA respectively. Different weight percentage combinations of the individual raw materials were investigated by the authors. Most of the results showed relatively acceptable porcelain insulators properties such as low water absorption, porosity, high insulation resistance, dielectric strength and bulk density. The paper showed that electric porcelain insulators with good properties can be produced from available local raw materials in some developing countries using appropriate formulations. However, for production of improved porcelain insulators properties, suggestions were made on the areas for future research

Attacking a smartphone biometric fingerprint system:a novice’s approach

Biometric systems on mobile devices are an increasingly ubiquitous method for identity verification. The majority of contemporary devices have an embedded fingerprint sensor which may be used for a variety of transactions including unlock a device or sanction a payment. In this study we explore how easy it is to successfully attack a fingerprint system using a fake finger manufactured from commonly available materials. Importantly our attackers were novices to producing the fingers and were also constrained by time. Our study shows the relative ease that modern devices can be attacked and the material combinations that lead to these attacks

Techno-Economic Analysis of Redox flow & Lithium-ion phosphate battery storages based on activated imbalance volume at different market intervals

The increase of renewable energy has made it harder for the Balance Responsible Party (BRP) to estimate production and consumption with accuracy. This issue is being addressed by the balancing market, which focuses on maintaining the balance between production and consumption in real-time in different market intervals. In this work, the techno-economic analysis of lithium-ion phosphate (LFP) battery and redox flow battery (RFB) used in frequency control grid application with imbalance volume at 100 MW threshold deviation, in 1-minute, 5-minute and 15-minute market intervals is investigated. Imbalance data including imbalance volumes and imbalance prices from the Belgium TSO for 3 years comprising of September 2019 until September 2022 were used. The analysis reveals that imbalance volume, imbalance price, and different market intervals can all have impacts on the technical and financial feasibility of battery energy storage (BESS) in balancing management. The technical and economic results of LFP and RFB have exhibited comparable tendencies in different market intervals, and they may provide prospective hints about how trends will evolve in other market intervals

Critical care Nurses Experiences of Taking Reports of Patients From Other Units

The critical care unit (CCU) is a unit where different health care professionals work together to care for the patient efficiently. A lot of studies in the past have shown that good communication and transfer of information from one health care professional to the other is an essential aspect in the transfer of a patients care. Most of these studies are concentrated on the reporter or informant. Lapses in communication and information transfer could result in unnecessary suffering both for the patient and for the health care worker. There are very few studies on how well the recipient of the information or report understands or comprehends the information passed. The aim of this study was to illuminate the critical care nurses (CCN) experiences of receiving report of patients transferred from other units. A qualitative design was chosen and five CCNs in a particular CCU were interviewed. The analysis was done using the content analysis method. The analysis resulted in four main categories which are: The patient’s situation-a determinant factor, the work environment, communication deficit creates uncertainty and structure enhances report and ten subcategories. The findings showed that CCNs' experience a feeling of uncertainty as a result of lapses in communication and their work environment and its attendant distractions has a great influence on the quality of the report they receive. To ensure a good quality of care that promotes patient’s safety and job satisfaction, it would be necessary to address the factors that hinder effective communication during handover in nurses' education programs and clinical practices

Segmentación de Sonidos Cardíacos mediante Procesado Digital de Señal

Una de las técnicas más utilizadas en medicina para la detección o sospecha de una enfermedad cardíaca es la auscultación. Es importante mejorar ésta técnica para dar un apoyo tecnológico y de procesado en la interpretación al especialista. Durante las últimas décadas se han realizado numerosos estudios para la mejora de la detección de sonidos cardíacos procedentes de fonocardiógrafos y estetoscopios digitales. Se plantean diferentes métodos de procesado para la mejora de la segmentación. En el ámbito del a investigación método más estudiado es la Transformada Wavelet. En el presente Proyecto Fin de Máster se centra en la implementación de un algoritmo para la segmentación de sonidos cardíacos. Para ello, se utiliza la Transformada Wavelet para la descomposición y estudio frecuencial y temporal de la señal. Se realiza el seguimiento de los pasos indicados en los artículos [1, 8]. Inicialmente, la implementación del algoritmo se aplica en una señal cardíaca normal y posteriormente, a una señal con estenosis mitral. La segmentación de los sonidos principales S1 y S2 se obtiene con éxito a partir de la detección de los periodos de diástole y sístole del ciclo del corazón. Por las características del algoritmo, existe una dependencia con el umbral empleado que condiciona la posterior segmentación. Se concluye el procesado de la señal utilizando wavelets no afecta a as características frecuenciales y temporales de la señal y que la segmentación se lleva a cabo correctamente dependiendo del umbral utilizado en el algoritmo.Teoría de la Señal y Comunicacione

The patients experience of the be-meeting of professional careproviders on patient with self-harm

BAKGRUND: Självskadebeteende är ett impulsivt beteende där de drabbade medvetet tillfogar sig själva kroppsliga skador med motivet att lindra sin känslomässiga oro. Beteendet ses ofta hos unga vuxna och ger upphov till många känslor i samhället och är väldigt stigmatiserat. SYFTE: Syftet är att beskriva patienters upplevelser av vårdpersonalens bemötande vid självskadebeteende. METOD: En litteraturstudie baserad på självbiografier och biografier som analyserats med kvalitativ innehållsanalys. RESULTAT: Resultatet visar att patienter med självskadebeteende anser att vårdpersonalen saknar kunskap om självskadebeteende och hur det ska behandlas. Personalen är osäkra och nedlåtande i sitt förhållningssätt, tar inte patienterna på allvar och hela vårdprocessen tyngs av organisationen och dess regler vilket inskränker på patienternas rättigheter. Vårdrelationen har också stor betydelse för tillfrisknande. SLUTSATS: Patienter med självskadebeteende har många negativa upplevelser av bemötandet hos vårdpersonal och detta påverkar deras process mot ett tillfrisknande. För att kunna ge effektiv, kvalitativ och individanpassad vård som främjar tillfrisknande i helandeprocessen är det viktigt och meningsfullt att personalen skaffar sig tillräcklig kunskap om självskadebeteende. Genom detta kan de få bättre förståelse för beteendet och individen bakom ärren