• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.155-162
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• 2024

Anonymity online has been an ever so fundamental topic among journalists, experts, cybersecurity professionals, corporate whistleblowers. Highest degree of anonymity online can be obtained by mimicking a normal everyday user of the internet. Without raising any flags of suspicion and perfectly merging with the masses of public users. Online Security is a very diverse topic, with new exploits, malwares, ransomwares, zero-day attacks, breaches occurring every day, staying updated with the latest security measures against them is quite expensive and resource intensive. Network security through anonymity focuses on being unidentifiable by disguising or blending into the public to become invisible to the targeted attacks. By following strict digital discipline, we can avoid all the malicious attacks as a whole. In this paper we have demonstrated a proof of concept and feasibility of securing yourself on a network by being anonymous.

• Journal of Research and Publication Ethics
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• v.4 no.1
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• pp.1-7
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• 2023

Purpose: Poor anonymity and confidential strategies by a researcher not only develop unprecedented and precedented harm to participants but also impacts the overall critical appraisal of the research outcomes. Therefore, understanding and applying anonymity and confidentiality in research is key for credible research. As such, this research expansively presents the importance of anonymity and confidentiality for research surveys through critical literature reviews of past works. Research design, data and methodology: This research has selected the literature content approach to obtain proper literature dataset which was proven by high degree of validity and reliability using only books and peer-reviewed research articles. The current authors have conducted screening procedure thoroughly to collect better fitted resources. Results: Research findings consistently mentioned the confidentiality and anonymity principles are preserved and implemented as a means of protecting the privacy of all individuals, establishing trust and rapport between researchers and study participants, as a way of critically upholding research ethical standards, and preserving the integrity of research processes. Conclusions: Confidentiality and anonymity are research ethical principles that help in providing informed consent to participants assuring subjects of the privacy of their personal data. As provided by research bodies and organizations, every research process has to incorporate the principles to meet credibility.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.2
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• pp.125-137
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• 2007

This paper proposes a new scheme to provide the location privacy of sources in Wireless Sensor Networks (WSNs). Because the geographical location of a source sensor reveals contextual information on an 'event' in WSN, anonymizing the source location is an important issue. Despite abundant research efforts, however, about data confidentiality and authentication in WSN, privacy issues have not been researched well so far. Moreover, many schemes providing the anonymity of communication parties in Internet and Ad-hoc networks are not appropriate for WSN environments where sensors are very resource limited and messages are forwarded in a hop-by-hop manner through wireless channel. In this paper, we first categorize the type of eavesdroppers for WSN as Global Eavesdropper and Compromising Eavesdropper. Then we propose a novel scheme which provides the anonymity of a source according to the types of eavesdroppers. Furthermore, we analyze the degree of anonymity of WSN using the entropy-based modeling method. As a result, we show that the proposed scheme improves the degree of anonymity compared to a method without any provision of anonymity and also show that the transmission range plays a key role to hide the location of source sensors.

• The KIPS Transactions:PartC
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• v.17C no.4
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• pp.315-326
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• 2010

Today's society is being caught in a whirlpool of change that is not behind the Industrial Revolution, the Reformation and so on. Technological determinism is the most general perspective that explains information society. It is the belief that information technology will bring about a particular form of information society. It is the opinion that the sequence of change of technology is inevitable and asks for a particular social change(Kim, 2006). When technology asks for it, however, not only the degree of technological development but also the credibility of the degree of technological development plays an important role in changing a society. This study was implemented based on the opinion that social change and individual change can vary depending on the degree of trust of people in the Internet technology. This study analyzes preferences of real-name system depending on the credibility of anonymity on the Internet and its influences on the behaviors of users, focused on the survey on the difference between ordinary users and users related to the Internet business. It also suggests not only the potential and the appropriateness of anonymity on the Internet, but also measures to alleviate adverse effects of it. Lastly, the objective of this study is to offer a dispute of real-name system and the standard of the anonymity policy on web sites.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.67-75
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• 2021

As pass the three revised bills, the Personal Information Protection Act was revised to have a larger application for personal information. For an industrial development through an efficient and secure usage of personal information, there is a need to revise the existing anonymity processing method. This paper modifies the Zero Knowledge Proofs algorithm among the anonymity processing methods to modify the anonymity process calculations by taking into account the reliability of the used service company. More detail, the formula of ZKP (Zero Knowledge Proof) used by ZK-SNAKE is used to modify the personal information for pseudonymization processing. The core function of the proposed algorithm is the addition of user variables and adjustment of the difficulty level according to the reliability of the data user organization and the scope of use. Through Setup_p, the additional variable γ can be selectively applied according to the reliability of the user institution, and the degree of agreement of Witness is adjusted according to the reliability of the institution entered through Prove_p. The difficulty of the verification process is adjusted by considering the reliability of the institution entered through Verify_p. SimProve, a simulator, also refers to the scope of use and the reliability of the input authority. With this suggestion, it is possible to increase reliability and security of anonymity processing and distribution of personal information.

• The Journal of Korean Association of Computer Education
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• v.14 no.1
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• pp.23-33
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• 2011

The purpose of the study is to investigate the structural relations between variables which give influences on cyber-violence. On the basis of literal materials, those variables as self-control ability, social identity, and norm consciousness are selected as the variables of having influences on cyber-violence, and the analysis is focused on the influence that anonymity, the representative characteristic of Internet, gives them. The validation of the Model is to be done through AMOS 6.0, and the degree of Model validity is to be estimated through the values of ${\chi}^2$, RMSEA, CFI, NNFI. As the result of the analysis, it is found that social identity and norm consciousness are direct causes of cyber-violence. Anonymity does not have any direct relations with it, but it indirectly gives influences on cyber-violence, for it gives some influences on social identity and norm consciousness. That is, anonymity is a cause of weakening social identity and degrading norm consciousness, by which, it is assumed, cyber-violence is triggered.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.12
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• pp.817-826
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• 2018

As malicious comments are emerging as social problems, the solution is needed. Many studies have been conducted in various perspectives to understand and prevent malicious comments. In the previous researches, the neutralization of malicious comments has attracted attention as an important factor explaining the malicious comments, but the difference of the degree of neutralization according to the gender has not been rarely considered. In addition, although there are many environmental characteristics that are different from reality in online, research with malicious comments is insufficient. Based on these facts, this study examined moderating effects of gender on relationship between malicious comments and neutralization, and demonstrated the effects of online environmental factors (anonymity, lack of social presence) on malicious comments. As a result of the study, we discovered that the influence of online environmental factors was not found, but neutralization of malicious comments had strong direct influence on malicious comments and moderating effect of gender difference. Based on the results of this study, we discuss academic and practical implications and suggest limitations of research and future research directions.

• Korean Business Review
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• v.18 no.2
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• pp.45-60
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• 2005

CSA(Control Self Assessment) is a new internal control technique whose objective is to control the human resource performance, the manager's philosophy, the business ethics, the effective communication and decision making etc. The purpose of this study is to find out if the CSA improve the quality of internal control. With the questionnaire method the following conclusions are reached. 1) Level of the management supports influence the level of the workshop participation. 2) Anonymity during the workshop session influences the level of workshop participation. 3) Level of the organizational committment influences the level of the participation 4) The level of workshop performance significantly influences the level of internal contro improvement.

• The Journal of Bigdata
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• v.5 no.2
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• pp.43-52
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• 2020

With the development of data technology, storing and sharing of data has increased, resulting in privacy invasion. Although de-identification technology has been introduced to solve this problem, it has been proved many times that identifying individuals using de-identified data is possible. Even if it cannot be completely safe, sufficient de-identification is necessary. But current laws and regulations do not quantitatively specify the degree of how much de-identification should be performed. In this paper, we propose an appropriate de-identification criterion considering the time required for re-identification. We focused on the case of using the k-anonymity model among various privacy models. We analyzed the time taken to re-identify data according to the change in the k value. We used a re-identification method based on linkability. As a result of the analysis, we determined which k value is appropriate. If the generalized model can be developed by results of this paper, the model can be used to define the appropriate level of de-identification in various laws and regulations.

• Journal of KIISE:Databases
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• v.37 no.4
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• pp.209-219
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• 2010

Online social network services that are rapidly growing recently store tremendous data and analyze them for many research areas. To enhance the effectiveness of information, companies or public institutions publish their data and utilize the published data for many purposes. However, a social network containing information of individuals may cause a privacy disclosure problem. Eliminating identifiers such as names is not effective for the privacy protection, since private information can be inferred through the structural information of a social network. In this paper, we consider a new complex attack type that uses both the content and structure information, and propose a model, $\ell$-degree diversity, for the privacy preserving publication of the social network data against such attacks. $\ell$-degree diversity is the first model for applying $\ell$-diversity to social network data publication and through the experiments it shows high data preservation rate.