• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.183-188
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• 2020

This study is primarily aimed at providing a foundation for academic development and the leap forward of the Special Security Industry through the press report analysis on Korea's special security guard using big data. The research methods It was analyzed by the research methods in relation to keyword trends for 'special security guard' and 'special guards' using the Big Kinds program. According to the analysis based on the period of growth (quantitative and qualitative) of the special security industry, there were many press reports and exposure related to carrying firearms, national major facilities, and regular employees. Unlike the general security guards, the special security guards were released higher by media as a law was revised to allow them to carry or use firearms at important national facilities. There was a lot of media attention concerned about the side effects of misuse, and there were also high media reports on the transition of regular workers to improve poor treatment, such as the unstable status of special security guards and low wages. Therefore, the need for continuous development and improvement of professionalism and work efficiency of special security services are emphasized.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.360-368
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• 2021

This study aims at knowing both the level of information security awareness in the use of social media among female secondary school students in Makkah Al-Mukarramah, and the procedures that students follow when exposed to hacking or other security problems. The study relied on the descriptive survey approach. The results showed a high percentage of social media use among the study sample, and the most used applications by the students are snapchat and Instagram applications successively. In fact, 48% of the study sample have awareness of information security, the majority of the students memorize the password in the devices, most of them do not change them, and they have knowledge of fake gates and social engineering. However, their knowledge of electronic hacking is weak, and students do not share passwords with anyone at a rate of 67%. At the same time, they do not update passwords. Moreover, most of the procedures followed by students when exposed to theft and hacking is to change the e-mail data and the password, and the results varied apart from that, which reflects the weak awareness of the students and the weakness of procedures related to information security. The study recommends the necessity to raise awareness and education of the importance of information security and safety, especially in light of what the world faces from data electronic attacks and hackings of electronic applications.

• Journal of the Korea Society of Computer and Information
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• v.20 no.7
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• pp.49-56
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• 2015

In this paper, we introduce recent cloud system security technologies categorizing them according to Reliability, Availability, Serviceability, Integrity, and Security (RASIS), terms that evaluate robustness of the computer system. Then we describe examples of security attacks and corresponding security technologies for each of them. We introduce security technologies based on Software Defined Network (SDN) for Reliability, security technologies based on hypervisor and virtualization for Availability, disaster restoration systems for Serviceability, authorization and access control technologies for Integrity, and encryption algorithms for Security. We believe that this paper provide wise view and necessary information for recent cloud system security technologies.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.6
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• pp.804-809
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• 2014

Recently, the prevention of crime using CCTV draws special in accordance with the higher crime incidence rate. Therefore security systems like a CCTV with audio capability are developing for giving an instant alarm. This paper proposes an analysis on screams and ambient noises for security systems with audio capability. This analysis result will be helpful for security systems to detect screams well with various ambient noises in real environment.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.103-108
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• 2022

Mass media in the digital age are not only one of the most important elements of the information society but also a strategic resource for its development. Effectively implemented communication makes it possible to build connections not only between individuals, but also between social institutions and representatives of various generational groups of the mass audience, as well as ensure information security in a crisis period. At the same time, in the context of a constantly increasing amount of information flows, more and more often "a person loses the ability to independently think, analyze, and critically perceive information." At the same time, "imposing" on the representatives of this or that society, through the content of multi-format mass media or active authors of social networks, a certain point of view on the problem becomes a completely realizable task. Thus, the main task of the study is to analyze the anti-crisis communications in legal discourse in terms of ensuring information security. As a result of the study, current trends and prerequisites of anti-crisis communications in legal discourse in terms of ensuring information security were revealed.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.3
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• pp.541-548
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• 2017

The smartphone operates the media server daemon to handle audio service requests. Media server daemons, running with a high privilege in the background, caused many vulnerabilities to applications most frequently used in smart devices including smartphones. Fuzzing is a popularly used methodology to find software vulnerabilities. Unfortunately, fuzzing itself is not much effective in such format-strict environments as media services. In this paper, we propose a file format-aware fuzzing in order to efficiently detect vulnerabilities of media server daemon. We acquired a remote arbitrary code execution vulnerability on iOS/tvOS/MacOS/watchOS, and we verified the effectiveness by comparing our methodology with the fuzzers FileFuzz and ZZUF.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.323-327
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• 2021

The article examines the process of professional training in educational institutions, media technologies and methods of media communication in the educational space of the institution, characterizes the place of media technologies in the educational space in the context of the term "educational space" itself, systematizes the methods of media communications in education. The peculiarities of media education as a set of means and methods of teaching young people adequate media perception are pointed out.

• Convergence Security Journal
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• v.11 no.3
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• pp.47-54
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• 2011

To protect SVC(Scalable Video Coding) media, the encryption mechanism need to consider two fundamental issues; First, What is to be encrypted? Second, When encryption is performed with respect to compression? In this paper, we analyze the several encryption approaches with regard to the above issue. And we propose hybrid-based protection mechanism. This mechanism ensures the media scalability, layered access control and reuse protected content. In this experiment the proposed mechanism generates under 3% security overhead against standard scalable video coding.

• Smart Media Journal
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• v.13 no.3
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• pp.45-52
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• 2024

In today's growing threat environment, rapid and effective detection and response to security events is essential. To solve these problems, many companies and organizations respond to security threats by introducing security control systems. However, existing security control systems are experiencing difficulties due to the complexity and diverse characteristics of security events. In this study, we propose an automated integrated security control system model based on artificial intelligence. It is based on deep learning, an artificial intelligence technology, and provides effective detection and processing functions for various security events. To this end, the model applies various artificial intelligence algorithms and machine learning methods to overcome the limitations of existing security control systems. The proposed model reduces the operator's workload, ensures efficient operation, and supports rapid response to security threats.

• Smart Media Journal
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• v.2 no.3
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• pp.54-61
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• 2013

NFC is a Near Field wireless Communication technology, comes to the fore as an important technology of Mobile Payment System with supply of devices and diffusion of services. Because of the fact that the NFC retail payment services, ticketing, smart cards are able to operate in one device, it(NFC Technology) can make disclosure of personal information and security risks. Thus, the problem of security in NFC technology is essential, and the need for research on security threats are increasing. In this paper, we wil analyze for NFC's vulnerabilities and security technology.