• Title/Summary/Keyword: Personal Sensitive Information

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The Secure Algorithm on the Sensitive data using Bloom filter and bucket method (버킷과 블룸필터를 혼합한 민감한 데이터 보안)

  • Yu, Choun-Young;Kim, Ji-Hong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.5
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    • pp.939-946
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    • 2012
  • Recently privacy breaches has been an social issues. If we should encrypt the sensitive information in order to protect the database, the leakage of the personal sensitive data will be reduced for sure. In this paper, we analyzed the existing protection algorithms to protect the personal sensitive data and proposed the combined method using the bucket index method and the bloom filters. Bucket index method applied on tuples data encryption method is the most widely used algorithm. But this method has the disadvantages of the data exposure because of the bucket index value presented. So we proposed the combined data encryption method using bucket index and the bloom filter. Features of the proposed scheme are the improved search performance of data as well as the protection of the data exposure.

Privacy leakage security system research for small physical companies (중소 경호.경비업체의 개인정보 유출 방지를 위한 보안 체계 연구)

  • Kang, Poo-Reum;Lee, DongHwi;Kim, Kuinam J.
    • Convergence Security Journal
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    • v.12 no.5
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    • pp.87-97
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    • 2012
  • Privacy of personal information disclosure incident occurs frequently as a problem to our society's most important and sensitive social agenda is emerging. Personal information is actually more accurate, depending on the type or types of economic value and sensitivity, the quality of the information, because it can cause a spill a serious social threat and systematic personal information protection and management are not carried out and the information society in a big mess can result. Customers my affairs when small guard security companies, especially the sensitive personal information of customers who need to work, the collected information be leaked or the company's trade secrets, are exposed on the outside, it could be a serious threat to a greater problem cause. Small escort guard companies, however, compared with large companies to build its own security system, due to issues such as the extent of funding, staffing shortages, there are many difficulties. Status of Information Security, scale and analyze the characteristics of small escort guard companies occupied by guard security companies in the present study, sleep, look at him in the solution of the practical issues of information protection system laid small guard. Expenses supplier of propose a security system for preventing the leakage of personal information.

A Monitoring Tool for Personal Information Leakage Prevention in Network Packets (네트워크 패킷 내 개인정보 유출 방지를 위한 모니터링 도구 개발)

  • Ju, Tea Kyung;Hong, Chong Min;Shin, Weon
    • KIPS Transactions on Computer and Communication Systems
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    • v.2 no.11
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    • pp.489-494
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    • 2013
  • Personal information has been transmitted in a variety of services of Internet environment, but individual users do not know what information is sent. In this paper, we aim to develop a monitoring tool that continuously monitors personal sensitive information in network packets and informs the user whether or not to leak. So we implement a monitoring tool of personal information and analyze the experiment results. In addition, we introduce a prevention of confidential information in company and a leakage prevention of medical information, for applications that take direct advantage. The results of this study, by contributing to prevent leakage of personal information, can help reduce cyber threats variously targeting personal information of users.

Improved User Privacy in SocialNetworks Based on Hash Function

  • Alrwuili, Kawthar;Hendaoui, Saloua
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.97-104
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    • 2022
  • In recent years, data privacy has become increasingly important. The goal of network cryptography is to protect data while it is being transmitted over the internet or a network. Social media and smartphone apps collect a lot of personal data which if exposed, might be damaging to privacy. As a result, sensitive data is exposed and data is shared without the data owner's consent. Personal Information is one of the concerns in data privacy. Protecting user data and sensitive information is the first step to keeping user data private. Many applications user data can be found on other websites. In this paper, we discuss the issue of privacy and suggest a mechanism for keeping user data hidden in other applications.

Research on the Analysis and Response of Unauthorized Personal Information Collection in Foreign Applications (해외 애플리케이션의 개인정보 무단 수집 실태 분석과 대응 방안에 대한 연구)

  • Kim, Se-Hwan;Yun, Hyung-Jun;Jung, Da-Hyun;Jang, Seung-Hoon;Han, Cheol-Kyu
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.31 no.3
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    • pp.453-462
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    • 2021
  • The number of foreign applications available in Korea is increasing. Among them, there are many cases where applications having a large number of domestic users collect users' personal information in an unauthorized manner, causing serious problems. Unauthorized collection of personal information conducted through such applications is highly dangerous, because sensitive personal information of users can be used in a malicious way. Further, this is violation of business ethics and may interrupt the creation of the sound information technology ecosystem. This research is purposed to analyze the current status of unauthorized collection of users' personal information by foreign applications available in Korea and to derive countermeasures thereof.

A Study on De-Identification Methods to Create a Basis for Safety Report Text Mining Analysis (항공안전 보고 데이터 텍스트 분석 기반 조성을 위한 비식별 처리 기술 적용 연구)

  • Hwang, Do-bin;Kim, Young-gon;Sim, Yeong-min
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.29 no.4
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    • pp.160-165
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    • 2021
  • In order to identify and analyze potential aviation safety hazards, analysis of aviation safety report data must be preceded. Therefore, in consideration of the provisions of the Aviation Safety Act and the recommendations of ICAO Doc 9859 SMM Edition 4th, personal information in the reporting data and sensitive information of the reporter, etc. It identifies the scope of de-identification targets and suggests a method for applying de-identification processing technology to personal and sensitive information including unstructured text data.

A Comparative Analysis on the Perceptions of Users' and Financial Company Employees' on MyData Services: Using Q Methodology (마이데이터 서비스 수용 의도와 요인에 대한 사용자와 금융사 직원의 인식 비교 연구: Q 방법론을 활용하여)

  • Lee, Jungwoo;Kim, Chulmin;Song, Young-gue;Park, Hyunji
    • Journal of Information Technology Services
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    • v.21 no.3
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    • pp.1-25
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    • 2022
  • The financial MyData service has implemented in January 2022 and launched 45 services by banks, securities, credit cards and fintech companies. This study applied the Q methodology, to identify the user types of MyData services and compared the perceptions of employees of financial institutions who plan and develop the MyData services. There are three types of MyData service users: active users, limited users who focus on consumption and asset status inquiry, and sensitive users for personal information. There were two types of recognition of financial company employees. One is the active user support other is the sensitive user for personal information support. The analysis of subjective perceptions can be used as a reference for establishing a company's MyData service marketing strategy and establishing related policies to improve the MyData ecosystem.

Study on Security Threat and Requirement for Personal Health Management in u-Health Environment (u-헬스 환경에서 개인건강관리를 위한 보안 위협 및 요구사항에 관한 연구)

  • Kim, Soon-Seok;Park, Hong-Jin
    • Journal of Advanced Navigation Technology
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    • v.14 no.4
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    • pp.504-511
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    • 2010
  • The personal bio-information supplied from the PHD(Personal Health Device) for personal health management is very sensitive in relation to a personal living body in an aspect of privacy protection. On the assumption thai the information is about a patient, it is more serious problem if it is revealed to a third party. However. the established ISO (International Organizations for Standardization) standard protocol[1] in October 2009 has just considered a transmission part for mutual exchange of bio-information between individuals, but has never actually considered security elements. Accordingly, this paper is to show all sorts of security threats according to personal health management in the u-health environment and security requirements newly.

Machine Learning Based Automated Source, Sink Categorization for Hybrid Approach of Privacy Leak Detection (머신러닝 기반의 자동화된 소스 싱크 분류 및 하이브리드 분석을 통한 개인정보 유출 탐지 방법)

  • Shim, Hyunseok;Jung, Souhwan
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.4
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    • pp.657-667
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    • 2020
  • The Android framework allows apps to take full advantage of personal information through granting single permission, and does not determine whether the data being leaked is actual personal information. To solve these problems, we propose a tool with static/dynamic analysis. The tool analyzes the Source and Sink used by the target app, to provide users with information on what personal information it used. To achieve this, we extracted the Source and Sink through Control Flow Graph and make sure that it leaks the user's privacy when there is a Source-to-Sink flow. We also used the sensitive permission information provided by Google to obtain information from the sensitive API corresponding to Source and Sink. Finally, our dynamic analysis tool runs the app and hooks information from each sensitive API. In the hooked data, we got information about whether user's personal information is leaked through this app, and delivered to user. In this process, an automated Source/Sink classification model was applied to collect latest Source/Sink information, and the we categorized latest release version of Android(9.0) with 88.5% accuracy. We evaluated our tool on 2,802 APKs, and found 850 APKs that leak personal information.

The Suggestion for Improvement of the Education System of Private Security Employees (민간경비원 교육과정의 문제점과 개선방안)

  • Ahn, Hwang-Kwon;Kim, Il-Gon
    • Convergence Security Journal
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    • v.12 no.2
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    • pp.13-21
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    • 2012
  • The purpose of this study is to profile actual conditions of personal information protection systems operated in overseas countries and examine major considerations of personal information that security service providers must know in the capacity of privacy information processor, so that it may contribute to preventing potential occurrence of any legal disputes in advance. Particularly, this study further seeks to describe fundamental idea and principle of said Personal Information Protection Act; enhancement of various safety measures (e.g. collection/use of privacy data, processing of sensitive information/personal ID information, and encryption of privacy information); restrictions on installation/operation of video data processing devices; and penal regulations as a means of countermeasure against leakage of personal information, while proposing possible solutions to cope with these matters. Using cases among foreign countries for this study.