Biblio

Throughout the life cycle of any technical project, the enterprise needs to assess the risks associated with its development, commissioning, operation and decommissioning. This article defines the task of researching risks in relation to the operation of a data storage subsystem in the cloud infrastructure of a geographically distributed company and the tools that are required for this. Analysts point out that, compared to 2018, in 2019 there were 3.5 times more cases of confidential information leaks from storages on unprotected (freely accessible due to incorrect configuration) servers in cloud services. The total number of compromised personal data and payment information records increased 5.4 times compared to 2018 and amounted to more than 8.35 billion records. Moreover, the share of leaks of payment information has decreased, but the percentage of leaks of personal data has grown and accounts for almost 90% of all leaks from cloud storage. On average, each unsecured service identified resulted in 33.7 million personal data records being leaked. Leaks are mainly related to misconfiguration of services and stored resources, as well as human factors. These impacts can be minimized by improving the skills of cloud storage administrators and regularly auditing storage. Despite its seeming insecurity, the cloud is a reliable way of storing data. At the same time, leaks are still occurring. According to Kaspersky Lab, every tenth (11%) data leak from the cloud became possible due to the actions of the provider, while a third of all cyber incidents in the cloud (31% in Russia and 33% in the world) were due to gullibility company employees caught up in social engineering techniques. Minimizing the risks associated with the storage of personal data is one of the main tasks when operating a company's cloud infrastructure.

With the development of new technologies in the world, governments have tendency to make a communications with people and business with the help of such technologies. Electronic government (e-government) is defined as utilizing information technologies such as electronic networks, Internet and mobile phones by organizations and state institutions in order to making wide communication between citizens, business and different state institutions. Development of e-government starts with making website in order to share information with users and is considered as the main infrastructure for further development. Website assessment is considered as a way for improving service quality. Different international researches have introduced various indexes for website assessment, they only see some dimensions of website in their research. In this paper, the most important indexes for website quality assessment based on accurate review of previous studies are "Web design", "navigation", services", "maintenance and Support", "Citizens Participation", "Information Quality", "Privacy and Security", "Responsiveness", "Usability". Considering mentioned indexes in designing the website facilitates user interaction with the e-government websites.

In this study, we conducted a survey of those who have used E-Government Services (civil servants, employees of public institutions, and the public) to empirically identify the factors affecting the continuous use intention E-Government Services, and conducted an empirical analysis using SPSS and Smart PLS with 284 valid samples except for dual, error and poor answers. Based on the success model of the information system (IS access model), we set independent variables which were divided into quality factors (service quality, system quality, information quality) and risk factors (personal information and security), and perceived ease of use and reliability, which are the main variables based on the technology acceptance model (TAM) that best describes the parameter group, were established as useful parameters. In addition, we design the research model by setting user satisfaction and the continuous use intention as dependent variables, conducted the study about how affecting factors influence to the acceptance factors through 14 hypotheses.The study found that 12 from 14 hypotheses were adopted and 2 were rejected. Looking at the results derived, it was analyzed that, firstly, 3 quality factors all affect perceived ease of use in relation to the quality of service, system quality, information quality which are perceived ease of use of E-Government Services. Second, in relation to the quality of service quality, system quality, information quality and perceived usefulness which are the quality factors of E-Government Services, the quality of service and information quality affect perceived usefulness, but system quality does not affect perceived usefulness. Third, it was analyzed that both factors influence reliability in the relationship between Privacy and security and trust which are risk factors. Fourth, the relationship between perceived ease of use and perceived usefulness has shown that perceived ease of use does not affect perceived usefulness. Finally, the relationship between user value factors (perceptual usability, perceived usefulness and trust) and user satisfaction and the continuous use intention was analyzed that user value factors affect user satisfaction while user satisfaction affects the continuous use intention. This study can be meaningful in that it theoretically presented the factors influencing the continued acceptance of e-government services through precedent research, presented the variables and measurement items verified through the empirical analysis process, and verified the causal relationship between the variables. The e-government service can contribute to the implementation of e-government in line with the era of the 4th Industrial Revolution by using it as a reference to the establishment of policies to improve the quality of people's lives and provide convenient services to the people.

Botnets are considered one of the most dangerous species of network-based attack today because they involve the use of very large coordinated groups of hosts simultaneously. The behavioral analysis of computer networks is at the basis of the modern botnet detection methods, in order to intercept traffic generated by malwares for which signatures do not exist yet. Defining a pattern of features to be placed at the basis of behavioral analysis, puts the emphasis on the quantity and quality of information to be caught and used to mark data streams as normal or abnormal. The problem is even more evident if we consider extensive computer networks or clouds. With the present paper we intend to show how heuristics applied to large-scale proxy logs, considering a typical phase of the life cycle of botnets such as the search for C&C Servers through AGDs (Algorithmically Generated Domains), may provide effective and extremely rapid results. The present work will introduce some novel paradigms. The first is that some of the elements of the supply chain of botnets could be completed without any interaction with the Internet, mostly in presence of wide computer networks and/or clouds. The second is that behind a large number of workstations there are usually "human beings" and it is unlikely that their behaviors will cause marked changes in the interaction with the Internet in a fairly narrow time frame. Finally, AGDs can highlight, at the moment, common lexical features, detectable quickly and without using any black/white list.

The EIIM model for ER allows for creation and maintenance of persistent entity identity structures. It accomplishes this through a collection of batch configurations that allow updates and asserted fixes to be made to the Identity knowledgebase (IKB). The model also provides a batch IR configuration that provides no maintenance activity but instead allows access to the identity information. This batch IR configuration is limited in a few ways. It is driven by the same rules used for maintaining the IKB, has no inherent method to identity "close" matches, and can only identify and return the positive matches. Through the decoupling of this configuration and its movements into an interactive role under the umbrella of an Identity Management Service, a more robust access method can be provided for the use of identity information. This more robust access to the information improved the quality of the information along multiple Information Quality dimensions.