• Title/Summary/Keyword: privacy and security

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A Study on countermeasure for privacy in mobile office (모바일 오피스 개인정보 보호 방안에 대한 연구)

  • Park, Yongjoon;Lee, Yunjung
    • Journal of Korea Multimedia Society
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    • v.18 no.2
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    • pp.178-188
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    • 2015
  • The proliferation of devices such as tablets and smart phones, which are now used by many people in their daily lives, has led to a number of companies allowing employees to bring their own devices to work due to perceived productivity gains and cost savings. However, despite many advantage, security breaches (e.g., information leakage) can happen for various reasons (e.g., loss or theft of devices, and malicious code) and privacy breaches can happen by using personal devices for business. We should carefully scrutinize security threats in this area. We present the security threats analysis and the technical approach in this area, and discuss privacy threats and countermeasures.

Comparative study of the privacy information protection policy - Privacy information basic laws and dedicated organizations - (국내외 개인정보보호정책 비교 분석 - 개인정보보호 법률과 전담조직을 중심으로 -)

  • Jeong, Dae-Kyeong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.4
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    • pp.923-939
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    • 2012
  • In the information society, to serve the normal economic activity and to delivery the public service is to secure the privacy information. The government endeavors to support with the privacy protection laws and public organizations. This paper is to study the privacy protection policy in the major countries by analyzing the laws and organizations. At last, The study is to examine the policy tasks to support the privacy protection policy.

Security, Privacy, and Efficiency of Sustainable Computing for Future Smart Cities

  • Jeong, Young-Sik;Park, Jong Hyuk
    • Journal of Information Processing Systems
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    • v.16 no.1
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    • pp.1-5
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    • 2020
  • Sustainable computing is a rapidly expanding field of research covering the fields of multidisciplinary engineering. With the rapid adoption of Internet of Things (IoT) devices, issues such as security, privacy, efficiency, and green computing infrastructure are increasing day by day. To achieve a sustainable computing ecosystem for future smart cities, it is important to take into account their entire life cycle from design and manufacturing to recycling and disposal as well as their wider impact on humans and the places around them. The energy efficiency aspects of the computing system range from electronic circuits to applications for systems covering small IoT devices up to large data centers. This editorial focuses on the security, privacy, and efficiency of sustainable computing for future smart cities. This issue accepted 17 articles after a rigorous review process.

An Exhaustive Review on Security Issues in Cloud Computing

  • Fatima, Shahin;Ahmad, Shish
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.6
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    • pp.3219-3237
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    • 2019
  • The Cloud Computing is growing rapidly in the current IT industry. Cloud computing has become a buzzword in relation to Grid & Utility computing. It provides on demand services to customers and customers will pay for what they get. Various "Cloud Service Provider" such as Microsoft Azure, Google Web Services etc. enables the users to access the cloud in cost effective manner. However, security, privacy and integrity of data is a major concern. In this paper various security challenges have been identified and the survey briefs the comprehensive overview of various security issues in cloud computing. The classification of security issues in cloud computing have been studied. In this paper we have discussed security challenges in cloud computing and also list recommended methods available for addressing them in the literature.

Advanced insider threat detection model to apply periodic work atmosphere

  • Oh, Junhyoung;Kim, Tae Ho;Lee, Kyung Ho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.3
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    • pp.1722-1737
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    • 2019
  • We developed an insider threat detection model to be used by organizations that repeat tasks at regular intervals. The model identifies the best combination of different feature selection algorithms, unsupervised learning algorithms, and standard scores. We derive a model specifically optimized for the organization by evaluating each combination in terms of accuracy, AUC (Area Under the Curve), and TPR (True Positive Rate). In order to validate this model, a four-year log was applied to the system handling sensitive information from public institutions. In the research target system, the user log was analyzed monthly based on the fact that the business process is processed at a cycle of one year, and the roles are determined for each person in charge. In order to classify the behavior of a user as abnormal, the standard scores of each organization were calculated and classified as abnormal when they exceeded certain thresholds. Using this method, we proposed an optimized model for the organization and verified it.

Internet of Things (IoT) Framework for Granting Trust among Objects

  • Suryani, Vera;Sulistyo, Selo;Widyawan, Widyawan
    • Journal of Information Processing Systems
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    • v.13 no.6
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    • pp.1613-1627
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    • 2017
  • The concept of the Internet of Things (IoT) enables physical objects or things to be virtually accessible for both consuming and providing services. Undue access from irresponsible activities becomes an interesting issue to address. Maintenance of data integrity and privacy of objects is important from the perspective of security. Privacy can be achieved through various techniques: password authentication, cryptography, and the use of mathematical models to assess the level of security of other objects. Individual methods like these are less effective in increasing the security aspect. Comprehensive security schemes such as the use of frameworks are considered better, regardless of the framework model used, whether centralized, semi-centralized, or distributed ones. In this paper, we propose a new semi-centralized security framework that aims to improve privacy in IoT using the parameters of trust and reputation. A new algorithm to elect a reputation coordinator, i.e., ConTrust Manager is proposed in this framework. This framework allows each object to determine other objects that are considered trusted before the communication process is implemented. Evaluation of the proposed framework was done through simulation, which shows that the framework can be used as an alternative solution for improving security in the IoT.

A Study of LBS Security Model in the Application Service using W-PKI (W-PKI를 이용한 LBS 응용서비스에서의 보안 모델 연구)

  • 이진우;황지온;김관연;박세현
    • Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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    • 2003.07a
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    • pp.245-248
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    • 2003
  • LBS는 이동통신망이나 위성신호등을 이용하여 Mobile 단말의 위치를 측정하고, 측정한 위치와 관련된 다양한 정보 서비스를 제공하기 위한 기술이다. 그러나 사용자의 프라이버시(Privacy) 문제나 접근제어(Access Control)같은 인증(Authentication)문제가 중요한 이슈로 대두되고 있다. 본 논문에서는 LBS에 대한 전반적인 사항을 분석하여 문제점을 도출하고, LBS Privacy 문제점을 보호할 수 있는 방안을 제시한다. 최종적으로 제안된 모델은 차세대 LBS 시스템의 개인정보 및 Privacy 보호를 위한 기술적인 대안을 제시하였으며, 차세대 이동통신의 기반 기술이 될 것으로 기대한다.

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New Secret Sharing Scheme for Privacy Data Management

  • Song You-Jin;Lee Dong-Hyeok
    • Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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    • 2006.06a
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    • pp.765-773
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    • 2006
  • In ubiquitous environment, private enterprise or public institution's privacy data are sometimes exposed to hackers because of the lack of the sense of information security. We apply secret sharing scheme to solve the privacy problems. But, the existing secret sharing scheme are not suitable for the management of large a quantity of data because that required operation of large capacity. In this paper, We propose new secret sharing scheme for privacy data management. Our scheme makes high-speed operation possible, and it also allows for set weight for each secret pieces depending on weight of participants. The scheme proposed in this paper makes it efficient to collect and manage secure privacy data in ubiquitous environment.

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Advanced approach to information security management system utilizing maturity models in critical infrastructure

  • You, Youngin;Oh, Junhyoung;Kim, Sooheon;Lee, Kyungho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.10
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    • pp.4995-5014
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    • 2018
  • As the area covered by the CPS grows wider, agencies such as public institutions and critical infrastructure are collectively measuring and evaluating information security capabilities. Currently, these methods of measuring information security are a concrete method of recommendation in related standards. However, the security controls used in these methods are lacking in connectivity, causing silo effect. In order to solve this problem, there has been an attempt to study the information security management system in terms of maturity. However, to the best of our knowledge, no research has considered the specific definitions of each level that measures organizational security maturity or specific methods and criteria for constructing such levels. This study developed an information security maturity model that can measure and manage the information security capability of critical infrastructure based on information provided by an expert critical infrastructure information protection group. The proposed model is simulated using the thermal power sector in critical infrastructure of the Republic of Korea to confirm the possibility of its application to the field and derive core security processes and goals that constitute infrastructure security maturity. The findings will be useful for future research or practical application of infrastructure ISMSs.

A Review of Security Threats of Internet of Things

  • Nargis Jamal;Sataish Riaz;Jawad Ibrahim
    • International Journal of Computer Science & Network Security
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    • v.24 no.6
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    • pp.99-108
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    • 2024
  • The Internet of Things (IoT) is a novel concept that allows a large number of objects to be connected to the Internet while also allowing them to be controlled remotely. The Internet of Things is extensive and has become an almost inseparable part of our daily lives. Users' personal data is frequently obtained by these linked gadgets and stored online. In recent years, the security of acquired data has become a major concern. As devices grow more linked, privacy and security concerns grow more pressing, and they must be addressed as soon as possible. IoT implementations and devices are particularly vulnerable to attacks that might adversely affect customer security and privacy, which might have an impact on their practical utility. The goal of this study is to bring attention to the security and privacy concerns that exist in IoT systems. To that purpose, the paper examines security challenges at each level of the IoT protocol stack, identifies underlying impediments and critical security requirements, and provides a rapid overview of available security solutions for securing IoT in a layered environment.