6 research outputs found
Ensuring telecommunication network security through cryptology: a case of 4G and 5G LTE cellular network providers
This paper aims to present the details regarding telecommunication network security through cryptology protocols. The data was based on scientific data collection and the quantitative method was adopted. The questionnaire was developed and the primary respondents were approached who were working in 4 telecommunication networking companies namely Huawei, Ericsson, SK Telecom and Telefonica. The sample size of the research was 60 participants and the statistical analysis was used to analyze research. The finding shows that cryptology protocol such as SSH, SSL, Kerberos PGP and SET are implemented within the companies in order to secure network
ACP Protocol in Payment Systems
BakalĂĄĆskĂĄ prĂĄce se zamÄĆuje na protokol pro kryptografickĂ© systĂ©my v platebnĂch systĂ©mech vyvinutĂœch na ĂTKO. V prĂĄci jsou zahrnuty analĂœzy nynĂ pouĆŸĂvanĂœch protokolĆŻ pro elektronickĂ© platebnĂ systĂ©my. PrĂĄce popisuje zĂĄkladnĂ princip protokolĆŻ AAA (autorizace, autentizace a ĂșÄtovĂĄnĂ) a zĂĄkladnĂ princip protokolu ACP. PrĂĄce obsahuje diskuzi cĂlĆŻ novĂ©ho systĂ©mu pro platebnĂ transakce a diskuzi anonymity plateb. DalĆĄĂm Ășkolem tĂ©to prĂĄce je vypracovat scĂ©nĂĄĆe pro uĆŸitĂ protokolu ACP v elektronickĂœch platebnĂch systĂ©mech a zhodnotit tyto scĂ©nĂĄĆe.Bachelor's thesis focuses on the protocol for the cryptographic systems in payment systems developed for ĂTKO. The thesis analyses now used protocols for electronic payment systems. The thesis describes the basic principle of AAA protocols (Authentication, Authorization and Accounting) and the basic principle of ACP protocol. The thesis includes a discussion of the objectives of the new system for payment transactions and discussion about anonymity of this transactions. The next object of this thesis is to develop scenarios inclusive protocol ACP in electronic payment systems and evaluate this scenarios.
Mise en oeuvre dâune approche sociotechnique de la vie privĂ©e pour les systĂšmes de paiement et de recommandation en ligne
Depuis ses fondements, le domaine de lâInteraction Homme-Machine (IHM) est marquĂ© par le souci constant de concevoir et de produire des systĂšmes numĂ©riques utiles et utilisables, câest-Ă -dire adaptĂ©s aux utilisateurs dans leur contexte. Vu le dĂ©veloppement exponentiel des recherches dans les IHM, deux Ă©tats des lieux sâimposent dans les environnements en ligne : le concept de confiance et le comportement de lâusager. Ces deux Ă©tats ne cessent de prolifĂ©rer dans la plupart des solutions conçues et sont Ă la croisĂ©e des travaux dans les interfaces de paiements en ligne et dans les systĂšmes de recommandation. Devant les progrĂšs des solutions conçues, lâobjectif de cette recherche rĂ©side dans le fait de mieux comprendre les diffĂ©rents enjeux dans ces deux domaines, apporter des amĂ©liorations et proposer de nouvelles solutions adĂ©quates aux usagers en matiĂšre de perception et de comportement en ligne. Outre lâĂ©tat de lâart et les problĂ©matiques, ce travail est divisĂ© en cinq parties principales, chacune contribue Ă mieux enrichir lâexpĂ©rience de lâusager en ligne en matiĂšre de paiement et recommandations en ligne :
âą Analyse des multi-craintes en ligne : nous analysons les diffĂ©rents facteurs des sites de commerce Ă©lectronique qui influent directement sur le comportement des consommateurs en matiĂšre de prise de dĂ©cision et de craintes en ligne. Nous Ă©laborons une mĂ©thodologie pour mesurer avec prĂ©cision le moment oĂč surviennent la question de la confidentialitĂ©, les perceptions en ligne et les craintes de divulgation et de pertes financiĂšres.
⹠Intégration de personnalisation, contrÎle et paiement conditionnel : nous proposons une nouvelle plateforme de paiement en ligne qui supporte à la fois la personnalisation et les paiements multiples et conditionnels, tout en préservant la vie privée du détenteur de carte.
âą Exploration de lâinteraction des usagers en ligne versus la sensibilisation Ă la cybersĂ©curitĂ© : nous relatons une expĂ©rience de magasinage en ligne qui met en relief la perception du risque de cybercriminalitĂ© dans les activitĂ©s en ligne et le comportement des utilisateurs liĂ© Ă leur prĂ©occupation en matiĂšre de confidentialitĂ©.
âą Ăquilibre entre utilitĂ© des donnĂ©es et vie privĂ©e : nous proposons un modĂšle de prĂ©servation de vie privĂ©e basĂ© sur lâalgorithme « k-means » et sur le modĂšle « k-coRating » afin de soutenir lâutilitĂ© des donnĂ©es dans les recommandations en ligne tout en prĂ©servant la vie privĂ©e des usagers.
âą MĂ©trique de stabilitĂ© des prĂ©fĂ©rences des utilisateurs : nous ciblons une meilleure mĂ©thode de recommandation qui respecte le changement des prĂ©fĂ©rences des usagers par lâintermĂ©diaire dâun rĂ©seau neural. Ce qui constitue une amĂ©lioration Ă la fois efficace et performante pour les systĂšmes de recommandation.
Cette thĂšse porte essentiellement sur quatre aspects majeurs liĂ©s : 1) aux plateformes des paiements en ligne, 2) au comportement de lâusager dans les transactions de paiement en ligne (prise de dĂ©cision, multi-craintes, cybersĂ©curitĂ©, perception du risque), 3) Ă la stabilitĂ© de ses prĂ©fĂ©rences dans les recommandations en ligne, 4) Ă lâĂ©quilibre entre vie privĂ©e et utilitĂ© des donnĂ©es en ligne pour les systĂšmes de recommandation.Technologies in Human-Machine Interaction (HMI) are playing a vital role across the entire production process to design and deliver advanced digital systems. Given the exponential development of research in this field, two concepts are largely addressed to increase performance and efficiency of online environments: trust and user behavior. These two extents continue to proliferate in most designed solutions and are increasingly enriched by continuous investments in online payments and recommender systems. Along with the trend of digitalization, the objective of this research is to gain a better understanding of the various challenges in these two areas, make improvements and propose solutions more convenient to the users in terms of online perception and user behavior. In addition to the state of the art and challenges, this work is divided into five main parts, each one contributes to better enrich the online user experience in both online payments and system recommendations:
âą Online customer fears: We analyze different components of the website that may affect customer behavior in decision-making and online fears. We focus on customer perceptions regarding privacy violations and financial loss. We examine the influence on trust and payment security perception as well as their joint effect on three fundamentally important customersâ aspects: confidentiality, privacy concerns and financial fear perception.
âą Personalization, control and conditional payment: we propose a new online payment platform that supports both personalization and conditional multi-payments, while preserving the privacy of the cardholder.
âą Exploring user behavior and cybersecurity knowledge: we design a new website to conduct an experimental study in online shopping. The results highlight the impact of userâs perception in cybersecurity and privacy concerns on his online behavior when dealing with shopping activities.
âą Balance between data utility and user privacy: we propose a privacy-preserving method based on the âk-meansâ algorithm and the âk-coRatingâ model to support the utility of data in online recommendations while preserving userâs privacy.
âą User interest constancy metric: we propose a neural network to predict the userâs interests in recommender systems. Our aim is to provide an efficient method that respects the constancy and variations in user preferences.
In this thesis, we focus on four major contributions related to: 1) online payment platforms, 2) user behavior in online payments regarding decision making, multi-fears and cyber security 3) user interest constancy in online recommendations, 4) balance between privacy and utility of online data in recommender systems
A formal execution semantics and rigorous analytical approach for communicating UML statechart diagrams
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