The unprecedented growth of mobile applications promoted the usage of these mobile applications for payments. The current research works in mobile payments and commerce are prone to ...reverse-engineering attacks and lacked transport layer protection, so these research works do not ensure security. Therefore, such attacks on Mobile Payment Applications (MPA) will be successful, which leads to severe financial loss. To address these issues, we propose a secure framework incorporating a defense-in-depth approach for Near Field Communication (NFC) based mobile payment frameworks. Our defense-in-depth approach has three levels, i.e., Defense at hardware, mobile application, and communication level. We have proposed a NFC based Secure Protocol for Mobile Transaction (NSPMT) protocol and successfully verified a mobile payment protocol with BAN (Burrows, Abadi, and Needham) logic and Scyther tool, and our proposed protocol overcome multi-protocol attack, RAM (Random Access Memory) scrapping attack, DOS (Denial Of Service), DDOS (Distributed Denial Of Service), and Phlashing attacks. Our proposed mobile Payment system overcomes the known mobile application vulnerabilities, including Heartbleed and ROBOT (Return Of Bleichenbacher's Oracle Threat). Our proposed protocol ensures all the security properties and the energy and communication cost and computational cost are far less than the existing works in the literature. Finally, we have successfully implemented our protocol using kotlin language in Android Studio, with two Mobile Payment Applications (MPA) and POS Payment Application (PPA), Elliptic Curve Digital Signature Algorithm (ECDSA) is used and Advanced Encryption Standard (AES) with GCM (Galois/Counter Mode) mode is used for encryption and decryption of Customer Payment Data at MPA and PPA.
Make the most of Kotlin by leveraging design patterns and best practices to build scalable and high performing apps Key Features * Understand traditional GOF design patterns to apply generic ...solutions * Shift from OOP to FP; covering reactive and concurrent patterns in a step-by-step manner * Choose the best microservices architecture and MVC for your development environment Book Description Design patterns enable you as a developer to speed up the development process by providing you with proven development paradigms. Reusing design patterns helps prevent complex issues that can cause major problems, improves your code base, promotes code reuse, and makes an architecture more robust. The mission of this book is to ease the adoption of design patterns in Kotlin and provide good practices for programmers. The book begins by showing you the practical aspects of smarter coding in Kotlin, explaining the basic Kotlin syntax and the impact of design patterns. From there, the book provides an in-depth explanation of the classical design patterns of creational, structural, and behavioral families, before heading into functional programming. It then takes you through reactive and concurrent patterns, teaching you about using streams, threads, and coroutines to write better code along the way By the end of the book, you will be able to efficiently address common problems faced while developing applications and be comfortable working on scalable and maintainable projects of any size. What you will learn * Get to grips with Kotlin principles, including its strengths and weaknesses * Understand classical design patterns in Kotlin * Explore functional programming using built-in features of Kotlin * Solve real-world problems using reactive and concurrent design patterns * Use threads and coroutines to simplify concurrent code flow * Understand antipatterns to write clean Kotlin code, avoiding common pitfalls * Learn about the design considerations necessary while choosing between architectures Who this book is for This book is for developers who would like to master design patterns with Kotlin to build efficient and scalable applications. Basic Java or Kotlin programming knowledge is assumed
El presente trabajo se enfoca en la automatización mediante una aplicación móvil y una página administrativa, de la contratación de servicios profesionales. Esta idea surge de la crisis sanitaria ...generada por el COVID-19, que afectó principalmente a los aspectos sociales y económicos, lo que provocó un incremento en el indicador de desempleo en la mayoría de los países. Durante esta crisis, empresas que ofrecen sus servicios enfocados en entregas a domicilio, mediante aplicaciones móviles, tuvieron un gran crecimiento debido a su gran demanda por la situación actual; sin embargo, otro tipo de servicios, como los de profesionales informales, se vieron gravemente afectados al no contar con ninguna aplicación que facilite su contratación. Para el desarrollo de este proyecto se utilizó la herramienta de desarrollo Android Studio con el lenguaje de programación Kotlin para la aplicación móvil, y para la página administrativa el Framework Angular, sobre el lenguaje Typescript, ambas aplicaciones se conectan con la plataforma Firebase, que permite la gestión de la información y evita la gestión de un servidor, lo que acelera el desarrollo del lado del cliente.
While many cluster and grid computing frameworks are available, the task of building secure distributed systems or implementing distributed algorithms continue to be a challenging task due to the ...inherent distributed nature of such systems with multiple failure modes and security issues. In this paper, we present the design and development of remote method delegation (RMD), which is a secure lightweight grid computing platform with load balancing and code migration. RMD is focused on improving the usability issues that plague related industry solutions. The platform is implemented on the JVM (Java Virtual Machine) and supports the Java and Kotlin programming languages, however, the platform should theoretically work with other JVM languages. RMD was designed to simplify the implementation of distributed algorithms by providing a Kotlin DSL (domain specific language) that allows the programmer to define jobs within dedicated code blocks. Users from around the world can donate their own computing resources by hosting their own job server. RMD is secured by placing all untrusted code within a sandbox environment that prevents potentially malicious actions from taking place. To demonstrate the feasibility of the proposed model, a proof of concept implementation has been constructed with real examples demonstrating the usefulness of the proposed solution.
Telecare Medical Information Systems (TMIS) is a highly focused and unique domain providing healthcare services remotely, the development and advancement in the realm of information and communication ...technologies boosted the development of TMIS. Smartphones, IoT devices, Mobile Healthcare Applications (MHA) and hospital servers are the building blocks of TMIS. Emergen Research predicts that IoT based healthcare security market will reach USD 5.52 Billion in 2028. Existing IoT based healthcare solutions are facing many security problems which includes information leakage, false authentication, key loss and are not in compliance with Health Insurance Portability and Accountability Act (HIPAA) regulations as IoT devices and sensors used are prone to Blue Borne, DoS (Denial of Service), DDoS (Distributed Denial of Service) and Reverse-engineering attacks. In addition to these healthcare applications in the IoT devices/sensors and mobile healthcare applications in the smart phone of the patient are vulnerable to repackaging attacks and lacked transport layer protection. This paper proposes a SRSTMIS (Secure and Resilient Scheme for Telecare Medical Information Systems) containing its architecture, a procedure to verify the safety and security of patients credentials and Mobile Healthcare Applications (MHA) and finally proposed a secure protocol. White-Box Cryptography (WBC) ensures the safety and security of the keys in the healthcare applications and in the SE, UICC and TPM. We have threat modeled our proposed healthcare framework using STRIDE approach and successfully verified using Microsoft Threat Modeling tool 2016. Our proposed secure and lightweight authentication scheme has been successfully verified with BAN (Burrows, Abadi, and Needham) logic and Scyther tool, and our proposed protocol overcome DoS (Denial of Service), multi-protocol attack, Blue Borne attack, DDoS (Distributed Denial of Service) attack, reverse engineering, insider, outsider and Phlashing attacks. SRSTMIS overcomes information leakage from sensors during rest and during transit, key loss from healthcare applications of the sensors and smart phone and false authentication and ensures HIPAA regulations. Proposed protocol was successfully implemented in Android Studio. We have compared our proposed work with the existing works and found to better in terms of security, resisting attacks, and in consumption of resources.
Assessment of replicate quality is an important process for any shotgun proteomics experiment. One fundamental question in proteomics data analysis is whether any specific replicates in a set of ...analyses are biasing the downstream comparative quantitation. In this paper, we present an experimental method to address such a concern. PeptideMind uses a series of clustering Machine Learning algorithms to assess outliers when comparing proteomics data from two states with six replicates each. The program is a JVM native application written in the Kotlin language with Python sub-process calls to scikit-learn. By permuting the six data replicates provided into four hundred triplet non redundant pairwise comparisons, PeptideMind determines if any one replicate is biasing the downstream quantitation of the states. In addition, PeptideMind generates useful visual representations of the spread of the significance measures, allowing researchers a rapid, effective way to monitor the quality of those identified proteins found to be differentially expressed between sample states.
Kotlin is a newly proposed programming language that is highly compatible with Java. Typically, source code written in Kotlin is compiled into Java bytecode, which is then interpreted and executed by ...the Java Virtual Machines (JVMs). To achieve high performance, the codes (source code or bytecode) must be optimized for the existing Java virtual machines. In this paper, we evaluate the performance of loop processing in Kotlin and Java programs considering the existing JVM implementations. First, we perform micro-benchmarking of loop processing, such as for and while statements, using two popular JVM implementations. The results show that the performance depends on the description methods even for the same semantics. The performances can be classified into two groups: fast and slow, in both JVM implementations. Second, we compare the bytecodes generated by the compilers from the description methods of the fast and slow groups. We then show the differences between them, which are small and cannot be justified as the direct cause of a significant performance difference. Third, we compare the native codes generated by a just-in-time (JIT) compiler and show that the bytecode in the fast group is deeply optimized by the JIT compiler, while that in the slow group is not. In fact, small differences in the bytecode lead to differences in the behavior of the JIT compiler and to non-trivial performance gains.
The environments of the Upper Vendian microscopic and macroscopic fossil organisms of the northwestern Russian Platform were reconstructed, and vertical distribution was analyzed. Five assemblages of ...the Kotlin age were determined: one impoverished transit assemblage and four abundant ones. A monographic restudy of the following filamentous algae was carried out:
Aataenia reticularis
Gnilovskaya emend. and
Bicuspidata fusiformis
Assejeva, emend. The latter was compared to cyanobacteria of the order Oscillatoriales. A new acritarch species
Pterospermopsimorpha rigida
sp. nov. was described.
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