• Title/Summary/Keyword: Threats and breaches

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Development of CC Based Security Risk Analysis Tool (CC(Common Criteria) 기반 보안위험분석 도구 개발)

  • Kim In-Jung;Chung Yoon-Jung;Koh Jae-Young;Won Dong-Ho
    • Journal of Internet Computing and Services
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    • v.7 no.1
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    • pp.31-38
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    • 2006
  • The importance of the Security Risk Analysis has emerged as security breaches and information leaks has occurred in the companies and organization: threats toward information system and its vulnerabilities has grown up as the dependence on the information-communication systems goes higher as a result of technological advances in IT industry, A Risk Analysis Tool helps to mitigate overall risk of an organization by analysing and evaluating critical information systems and providing security measures against threats to systems and its vulnerabilities as a means to identify the inherent dangers and prevent security intrusion incident, This paper defines risk analysis process by introducing Common Criteria Scheme and suggest a risk analysis tool that can be easily implemented by an information security manager.

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Mitigating Mobile Malware Threats: Implementing Gaussian Naïve Bayes for Effective Banking Trojan Detection

  • Najiahtul Syafiqah Ismail;Anis Athirah Masmuhallim;Mohd Talmizie Amron;Fazlin Marini Hussain;Nadiathul Raihana Ismail
    • International Journal of Computer Science & Network Security
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    • v.24 no.10
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    • pp.17-24
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    • 2024
  • Mobile phones have become immensely popular as intelligent terminals worldwide. The open-source nature of mobile platforms has facilitated the development of third-party mobile applications, but it has also created an environment for mobile malware to thrive. Unfortunately, the abundance of mobile applications and lax management of some app stores has led to potential risks for mobile users, including privacy breaches and malicious deductions of fees, among other adverse consequences. This research presents a mobile malware static detection method based on Gaussian Naïve Bayes. The approach aims to offer a solution to protect users from potential threats such as Banking Trojan malware. The objectives of this project are to study the requirement of the Naïve Bayes algorithm in Mobile Banking Trojan detection, and to evaluate the performance and accuracy of the Gaussian Naïve Bayes algorithm in the Mobile Banking Trojan detection. This study presents a mobile banking trojan detection system utilizing the Gaussian Naïve Bayes algorithm, achieving a high classification accuracy of 95.83% in distinguishing between benign and trojan APK files.

Operation Plan for the Management of an Information Security System to Block the Attack Routes of Advanced Persistent Threats (지능형지속위협 공격경로차단 위한 정보보호시스템 운영관리 방안)

  • Ryu, Chang-Su
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.759-761
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    • 2016
  • Recent changes in the information security environment have led to persistent attacks on intelligent assets such as cyber security breaches, leakage of confidential information, and global security threats. Since existing information security systems are not adequate for Advanced Persistent Threat; APT attacks, bypassing attacks, and attacks on encryption packets, therefore, continuous monitoring is required to detect and protect against such attacks. Accordingly, this paper suggests an operation plan for managing an information security system to block the attack routes of advanced persistent threats. This is achieved with identifying the valuable assets for prevention control by establishing information control policies through analyzing the vulnerability and risks to remove potential hazard, as well as constructing detection control through controlling access to servers and conducting surveillance on encrypted communication, and enabling intelligent violation of response by having corrective control through packet tagging, platform security, system backups, and recovery.

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Security Measures by Diagnosing Vulnerabilities in Web Applications

  • Kim, Hee Wan
    • International journal of advanced smart convergence
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    • v.10 no.4
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    • pp.22-29
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    • 2021
  • For web application vulnerability diagnosis, from the development stage to the operation stage, it is possible to stably operate the web only when there is a policy that is commonly applied to each task through diagnosis of vulnerabilities, removal of vulnerabilities, and rapid recovery from web page damage. KISA presents 28 evaluation items for technical vulnerability analysis of major information and communication infrastructure. In this paper, we diagnose the vulnerabilities in the automobile goods shopping mall website and suggest security measures according to the vulnerabilities. As a result of diagnosing 28 items, major vulnerabilities were found in three items: cross-site scripting, cross-site request tampering, and insufficient session expiration. Cookie values were exposed on the bulletin board, and personal information was exposed in the parameter values related to passwords when personal information was edited. Also, since the session end time is not set, it was confirmed that session reuse is always possible. By suggesting security measures according to these vulnerabilities, the discovered security threats were eliminated, and it was possible to prevent breaches in web applications and secure the stability of web services.

Development of Standard Module for Collecting Digital Evidence of Mobile Forensic (모바일 포렌식의 디지털 증거 획득을 위한 표준 모듈 개발)

  • Jang, Sung-Gyun;Joe, In-Whee
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.229-230
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    • 2008
  • Recently, our lives have become more convenient and our work more efficient as a result of these cell phones. On the other hand, they have also caused diverse side-effects, including threats of blackmail with invasion of privacy, disclosure of personal information, as well as security breaches, and an overall increase in distrust between people. Recognizing the need to quickly collect digital evidence with an increase in cell phone crimes, this paper proposes to develop such standard module.

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Optimization of Information Security Investment Considering the Level of Information Security Countermeasure: Genetic Algorithm Approach (정보보호 대책 수준을 고려한 정보보호 투자 최적화: 유전자 알고리즘 접근법)

  • Lim, Jung-Hyun;Kim, Tae-Sung
    • Journal of Information Technology Services
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    • v.18 no.5
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    • pp.155-164
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    • 2019
  • With the emergence of new ICT technologies, information security threats are becoming more advanced, intelligent, and diverse. Even though the awareness of the importance of information security increases, the information security budget is not enough because of the lack of effectiveness measurement of the information security investment. Therefore, it is necessary to optimize the information security investment in each business environment to minimize the cost of operating the information security countermeasures and mitigate the damages occurred from the information security breaches. In this paper, using genetic algorithms we propose an investment optimization model for information security countermeasures with the limited budget. The optimal information security countermeasures were derived based on the actual information security investment status of SMEs. The optimal solution supports the decision on the appropriate investment level for each information security countermeasures.

The Effect of Information Security Breach and Security Investment Announcement on the Market Value of Korean Firms (정보보안 사고와 사고방지 관련 투자가 기업가치에 미치는 영향)

  • Kwon, Young-Ok;Kim, Byung-Do
    • Information Systems Review
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    • v.9 no.1
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    • pp.105-120
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    • 2007
  • With the fast development of the Internet and the increasing dependence on information infrastructures, companies are faced with various information security threats such as information leakages, modifications, and information breaches. South Korea is one of the leading countries in the Internet usage, but is ranked relatively low when it comes to information security. In fact, many Korean firms have suffered financial losses and damaged corporate images from the information security breaches. However, because of the difficulties in quantifying the costs of the information security breaches, Korean companies tend to delay their investment decisions on information security. The purpose of this study is to measure the cost of information security breach and the economic value of security investment using the event study methodology. Our results show that the announcement of an information security breach negatively influenced the market value of the corresponding company. The effect was statistically significant at the significance level of p=0.05. The breached companies lose, on average, 0.86% of their market values on the day of the announcement - an average loss in market capitalization of $55 million. On the other hand, the investment on information security had no effect on the stock price or the market value of the firm.

A Study on the Utilization of Artificial Intelligence-Based Infringement Analysis Tools (인공지능 기반 침해분석 도구 활용에 관한 연구)

  • Yang Hwan Seok
    • Convergence Security Journal
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    • v.24 no.2
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    • pp.3-8
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    • 2024
  • Recently, in order to build a cyber threats have increased in number and complexity. These threats increase the risk of using personally owned devices for work. This research addresses how to utilize an AI-enabled breach analysis tool. To this end, we developed and proposed the feasibility of using an AI-based breach analysis tool that reduces the workload of analysts and improves analysis efficiency through automated analysis processes. This allows analysts to focus on more important tasks. The purpose of this research is to propose the development and utilization of an AI-based breach analysis tool. We propose a new research direction in the field of breach analysis and suggest that automated tools should be improved in performance, coverage, and ease of use to enable organizations to respond to cyberattacks more effectively. As a research method, we developed a breach analysis tool using A.I. technology and studied various use cases. We also evaluated the performance, coverage, and ease of use of automated tools, and conducted research on predicting and preventing breaches and automatically responding to them. As a result, this research will serve as a foundation for the development and utilization of AI-based breach analysis tools, which can be used to respond to cyberattacks more effectively through experiments.

A Study on Voice over Internet Protocol Security Response Model for Administrative Agency (행정기관 인터넷전화 보안 대응 모델 개발 연구)

  • Park, Dea-Woo;Yang, Jong-Han
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.237-240
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    • 2011
  • Voice over Internet Protocol calls using administrative agency to build a national information and communication service, 'C' group, providers, the KT, SK Broadband, LG U+, Samsung SDS, as there are four operators. To prepare for an attack on Voice over Internet Protocol for administrative agency, security is a need for research to support the model. In this paper, the Internet telephone business of Administrative Agency to investigate and analyze the specific security measures to respond. Should set priorities around confidentiality about five security threats from NIS to Study of Voice over Internet Protocol Security Response Model for Administrative Agency. (1) Illegal wiretapping, (2) call interception, (3) service misuse, (4) denial of service attacks, (5) spam attacks, write about and analyze attack scenarios. In this paper, an analysis of protection by security threats and security breaches through a step-by-step system to address the research study is a step-by-step development of the corresponding model.

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Smart-phone Malicious Code Countermeasure System (스마트폰 악성코드 대응 시스템)

  • Song, Jong-Gun;Lee, HoonJae;Kim, TaeYong;Jang, WonTae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.05a
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    • pp.223-226
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    • 2013
  • Information security breaches caused by malicious code is arising in various forms with exponential growth. The latest information security threats on computers are increasing, especially on smartphone, which has enabled malicious code to quickly surge. As a result, the leakage of personal information, such as billing information, is under threat. Meanwhile the attack vector o smartphone malware is difficult to detect. In this paper, we propose a smartphone security system to respond to the spread of malicious code by iPhone and Android OS-based malware analysis.

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