scholarly journals Securing the Website Login System with the SHA256 Generating Method and Time-based One-time Password (TOTP)

SYSTEMATICS ◽  
2020 ◽  
Vol 2 (2) ◽  
pp. 65-71
Author(s):  
Iman Permana ◽  
Mardi Hardjianto ◽  
Kiki Ahmad Baihaqi

Security to enter a system has a very important role because as the main entrance to access data sources. But often lack the attention of the owners and managers of information systems. To reduce these weaknesses, one method that is widely used today is to use One-Time password, which is where the password we have becomes dynamic, meaning that at a certain time the password is always changing, the positive side is that it makes it difficult for others to steal our passwords because besides representative passwords that are difficult to understand and passwords are always changing. This study discusses One-Time Password installed on a mobile device where the password is randomized using a combination of two algorithms, namely SHA256 and Time-based One Time Password. The development of this login method can reduce the level of theft of passwords owned by users who are entitled to access information sources.

Author(s):  
N Yarushkina ◽  
A Romanov ◽  
A Filippov ◽  
A Dolganovskaya ◽  
M Grigoricheva

This article describes the method of integrating information systems of an aircraft factory with the production capacity planning system based on the ontology merging. The ontological representation is formed for each relational database (RDB) of integrated information systems. The ontological representation is formed in the process of analyzing the structure of the relational database of the information system (IS). Based on the ontological representations merging the integrating data model is formed. The integrating data model is a mechanism for semantic integration of data sources.


Author(s):  
Nirmit Singhal ◽  
Amita Goel, ◽  
Nidhi Sengar ◽  
Vasudha Bahl

The world generated 52 times the amount of data in 2010 and 76 times the number of information sources in 2022. The ability to use this data creates enormous opportunities, and in order to make these opportunities a reality, people must use data to solve problems. Unfortunately, in the midst of a global pandemic, when people all over the world seek reliable, trustworthy information about COVID-19 (Coronavirus). Tableau plays a key role in this scenario because it is an extremely powerful tool for quickly visualizing large amounts of data. It has a simple drag-and-drop interface. Beautiful infographics are simple to create and take little time. Tableau works with a wide variety of data sources. COVID-19 (Coronavirus)analytics with Tableau will allow you to create dashboards that will assist you. Tableau is a tool that deals with big data analytics and generates output in a visualization technique, making it more understandable and presentable. Data blending, real-time reporting, and data collaboration are one of its features. Ultimately, this paper provides a clear picture of the growing COVID19 (Coronavirus) data and the tools that can assist more effectively, accurately, and efficiently. Keywords: Data Visualization, Tableau, Data Analysis, Covid-19 analysis, Covid-19 data


Author(s):  
Feyza Gürbüz ◽  
Fatma Gökçe Önen

The previous decades have witnessed major change within the Information Systems (IS) environment with a corresponding emphasis on the importance of specifying timely and accurate information strategies. Currently, there is an increasing interest in data mining and information systems optimization. Therefore, it makes data mining for optimization of information systems a new and growing research community. This chapter surveys the application of data mining to optimization of information systems. These systems have different data sources and accordingly different objectives for knowledge discovery. After the preprocessing stage, data mining techniques can be applied on the suitable data for the objective of the information systems. These techniques are prediction, classification, association rule mining, statistics and visualization, clustering and outlier detection.


Author(s):  
Donna Goldstein ◽  
Valerie C. Bryan

There are several issues that we urgently need to address regarding K-20 education, including engaging students in the learning process, preparing our youth for entry into the 21st century workplace, enabling them to become fully productive citizens, and providing them with the tools they will need to succeed. Our ability to flourish as a nation depends on this. In his article, “Place-Based Knowledge in the Digital Age,” Thomas Fisher (2012) discusses the potential impact Geographic Information Systems (GIS) may have as our global society becomes more immersed in digital and spatial media. He suggests that “GIS will eventually become a major way—perhaps the dominant way—in which we will access information in the future because of the essentially spatial nature of that software” (Fisher, 2012, p. 5). While Fisher's notion of “spatializing education” may seem abstract, the reality is our ability to connect multiple layers of data based on place will afford a more informed insight into our past, present, and future by revealing relationships, trends, and patterns. Connecting data spatially shifts our way of thinking, and our way of doing business as well as education (Baker, 2012). This is explored in this chapter.


Author(s):  
Ahmad M. A. Toimah ◽  
Samy M. Z. Afifi

Planning is a time-sensitive process with spatial characteristics as its core. It is effective to formulate spatially-related decisions on an informative background to maximize benefits and minimize risks. Not only decision makers who affect the space, but also users and owners interact with it, affect the related decisions. Thus, it is healthful to widen participation. This chapter introduces a conceptual framework for the Spatial Decision Simulator “SD-SIM.” This work aims to reach a platform that supports spatial decisions made by various stakeholders to provide a capability for integrated modeling of socio-economic, man-made, and natural environmental impacts. It contains four components as a logical target for expressing the evolution of spatial issues and reflecting them into a simulator. These four components are Districts Sub-System, Property Price and Living Cost Simulator, Interventions Sub-System, and Development Scenarios Sub-System. The SD-SIM depends on free-access data sources. Through its sub-systems, the platform integrates different analytical methods and tools.


2021 ◽  
pp. 13-30
Author(s):  
Robert E.B. Lucas

This chapter details the data sources deployed and the approaches to deriving measures from them. National definitions of urban settlements vary but are demonstrated to match satellite imagery surprisingly well. Most selected sources ask if the place of origin was rural or urban, though in several censuses this is imputed on the nature of the location of origin, rejecting instances where locations prove too diverse; significant contrasts are not found between the two approaches. Those sources that ask place of birth show significantly lower lifetime migration from urban to rural areas than those reporting only location during childhood; their rural-urban migration propensities do not differ. Measures of migrant flow rates, return migration, and other temporary moves require interim location information. Sources reporting the previous location and duration of residence prove more useful than those asking location five years before. A contention of symmetry between rural-urban and urban-rural migration propensities is rejected.


2020 ◽  
Vol 117 (33) ◽  
pp. 19658-19660 ◽  
Author(s):  
Joakim A. Weill ◽  
Matthieu Stigler ◽  
Olivier Deschenes ◽  
Michael R. Springborn

In the absence of a vaccine, social distancing measures are one of the primary tools to reduce the transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, which causes coronavirus disease 2019 (COVID-19). We show that social distancing following US state-level emergency declarations substantially varies by income. Using mobility measures derived from mobile device location pings, we find that wealthier areas decreased mobility significantly more than poorer areas, and this general pattern holds across income quantiles, data sources, and mobility measures. Using an event study design focusing on behavior subsequent to state emergency orders, we document a reversal in the ordering of social distancing by income: Wealthy areas went from most mobile before the pandemic to least mobile, while, for multiple measures, the poorest areas went from least mobile to most. Previous research has shown that lower income communities have higher levels of preexisting health conditions and lower access to healthcare. Combining this with our core finding—that lower income communities exhibit less social distancing—suggests a double burden of the COVID-19 pandemic with stark distributional implications.


Author(s):  
Marco Padula ◽  
Amanda Reggiori

This chapter is intended to question what usability is, or should be, in the field of computer science. We focus the design of information systems meant as systems enabling large virtual communities to access information and communications; systems aimed to support the working activities of a restricted team, but also to offer services accessible and usable in the perspective of global digital inclusion. We shall not propose a specific viewpoint to usability, but a focus to many concepts, aspects, potentialities which have to be nowadays considered to detail the idea of usability and design suited systems. Systems must be used by a community of users in their complex working activity to process material or information; to modify rough material but also the working environment and methods. This requires to consider them as tools in a social context of use which has expectations from the technological progress.


2009 ◽  
pp. 729-755
Author(s):  
Javier García-Guzmán ◽  
María-Isabel Sánchez-Segura ◽  
Antonio de Amescua-Seco ◽  
Mariano Navarro

This chapter introduces a framework for designing, distributing, and managing mobile applications that uses and updates information coming from different data sources (databases and systems from different organizations) for helping mobile workers to perform their job. A summary of the state of the art in relation to mobile applications integration is presented. Then, the authors describe the appropriate organizational context for applying the integration framework proposed. Next, the framework components and how the framework is use are explained. Finally, the trials performed for testing the mobile applications architecture are discussed, presenting the main conclusions and future work. Furthermore, the authors hope that understanding the concepts related to the integration of mobile applications through the presentation of an integration framework will not only inform researchers of a better design for mobile application architectures, but also assist in the understanding of intricate relationships between the types of functionality required by this kind of systems.


Author(s):  
Yuriy Taranovych

In recent years, portals became more and more popular among organizations (Klaene, 2004). A portal provides a solution for aggregating content and applications from various information systems for presentation to the user (Linwood & Minter, 2004). Generally, portals pose three main architectural requirements (Linwood & Minter, 2004): as portals integrate heterogeneous content from various sources, a modularized architecture is necessary to allow maintainable portal systems. Second, portals require separating various concerns (Fowler, Rice, & Foemmel, 2002). For instance, the portal’s user interface is supposed to display heterogeneous content consistently on various devices, whereas the backend is supposed to syndicate content from various sources. Third, a consistent management and coordination of different information sources, portal elements, and other components is necessary for good portals design.


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