• Title/Summary/Keyword: Security Techniques

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A Study on Countering SIP-based VoIP Spam using VoIP-RBL (VoIP-RBL을 이용한 SIP기반 VoIP스팸 차단 방법)

  • Yoon, Seok-Ung;Jung, Hyun-Cheol;Park, Hae-Ryoung;Won, Yoo-Jae;Yoo, Hyeong-Seon
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06d
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    • pp.135-136
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    • 2011
  • The more VoIP service is widely used, the more VoIP spam becomes threatened. Both VoIP spam violates the user's privacy and VoIP spam can cause money trouble. Therefore, it is important to reduce the VoIP spam but it is not easy to adopt some useful techniques to counter e-mail spam due to VoIP characteristics. We propose a technique using VoIP-RBL for countering SIP-based VoIP spam.

A Study of Authentication Algorithm in Electronic Commerce (전자상거래에서의 인증 알고리즘에 관한 연구)

  • Kim Young-Sun
    • Management & Information Systems Review
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    • v.6
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    • pp.1-19
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    • 2001
  • Partial transactions which use computer networks are formed in the cyberspace due to rapid progress of communication and computer technology. Electronic business transactions have security problems according to the special quality of opening networks, while it can be approached easily by anyone without being tied to time and places through Internets. To revitalize the electronic business transactions, security technology which can establish its security and trust is the prior task and both safe information communication and better information security service offer are essential factors. The method to exchange information through Internets must be made after confirming one another's exact connection in the mutual identity certification to prevent a lot of threat which can occur in the use of password techniques. To satisfy these electronic business transactions, we intend to increase understanding of authentication algorithm provided with authentication function of messages and users as well to plan safety and trust of business information and contents in the electronic business transactions.

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Differential Power Analysis on Countermeasures Using Binary Signed Digit Representations

  • Kim, Tae-Hyun;Han, Dong-Guk;Okeya, Katsuyuki;Lim, Jong-In
    • ETRI Journal
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    • v.29 no.5
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    • pp.619-632
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    • 2007
  • Side channel attacks are a very serious menace to embedded devices with cryptographic applications. To counteract such attacks many randomization techniques have been proposed. One efficient technique in elliptic curve cryptosystems randomizes addition chains with binary signed digit (BSD) representations of the secret key. However, when such countermeasures have been used alone, most of them have been broken by various simple power analysis attacks. In this paper, we consider combinations which can enhance the security of countermeasures using BSD representations by adding additional countermeasures. First, we propose several ways the improved countermeasures based on BSD representations can be attacked. In an actual statistical power analysis attack, the number of samples plays an important role. Therefore, we estimate the number of samples needed in the proposed attack.

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A Probe Detection based on Private Cloud using BlockChain (블록체인을 적용한 사설 클라우드 기반 침입시도탐지)

  • Lee, Seyul
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.2
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    • pp.11-17
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    • 2018
  • IDS/IPS and networked computer systems are playing an increasingly important role in our society. They have been the targets of a malicious attacks that actually turn into intrusions. That is why computer security has become an important concern for network administrators. Recently, various Detection/Prevention System schemes have been proposed based on various technologies. However, the techniques, which have been applied in many systems is useful for existing intrusion patterns on standard-only systems. Therefore, probe detection of private clouds using BlockChain has become a major security protection technology to detection potential attacks. In addition, BlockChain and Probe detection need to take into account the relationship between the various factors. We should develop a new probe detection technology that uses BlockChain to fine new pattern detection probes in cloud service security in the end. In this paper, we propose a probe detection using Fuzzy Cognitive Map(FCM) and Self Adaptive Module(SAM) based on service security using BlockChain technology.

On the Length of Hash-values for Digital Signature Schemes

  • Lim, Chae-Hoon;Lee, Pil-Joong-
    • Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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    • 1994.11a
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    • pp.29-31
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    • 1994
  • In digital signature schemes derived from the zero-knowledge proof techniques, some authors often claims that the length of hash-values for their schemes could be as short as 64 or 72 bits for the security level of 2$^{-64}$ or 2$^{-72}$ . This letter shows that signature schemes with such short hash values cannot achieve the security levels as stated, due to the birthday attack by the signer.

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Intelligence video security techniques for wide-domain surveillance system (광역영상보안시스템을 위한 지능형 영상보안 기술)

  • Park, Su-Wan;Han, Jong-Wook;Kim, JeongNyeo
    • Annual Conference of KIPS
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    • 2013.05a
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    • pp.524-526
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    • 2013
  • 본 논문은 현재 이슈화 되고 있는 CCTV 에서 광역 감시를 위한 지능형 영상보안 기술에 대해 서술한다. 광역영상보안시스템은 단일 CCTV 에서 일부 지역에 대한 감시를 벗어나 지역과 지역을 연계하여 보다 넓은 지역을 하나의 시스템으로 연동하여 신변의 안전 서비스를 제공하는데 목적을 갖는다. 본 시스템에서는 광역영상보안시스템 환경에서 요구하는 지능형 영상보안 기술로써 마스킹 기술, 이벤트 탐지 기술, 그리고 연동 기반의 객체 추적 기술, 객체 검색 기술 및 증거영상 생성 기술을 제시한다.

Predicting the Saudi Student Perception of Benefits of Online Classes during the Covid-19 Pandemic using Artificial Neural Network Modelling

  • Beyari, Hasan
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.145-152
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    • 2022
  • One of the impacts of Covid-19 on education systems has been the shift to online education. This shift has changed the way education is consumed and perceived by students. However, the exact nature of student perception about online education is not known. The aim of this study was to understand the perceptions of Saudi higher education students (e.g., post-school students) about online education during the Covid-19 pandemic. Various aspects of online education including benefits, features and cybersecurity were explored. The data collected were analysed using statistical techniques, especially artificial neural networks, to address the research aims. The key findings were that benefits of online education was perceived by students with positive experience or when ensured of safe use of online platforms without the fear cyber security breaches for which recruitment of a cyber security officer was an important predictor. The issue of whether perception of online education as a necessity only for Covid situation or a lasting option beyond the pandemic is a topic for future research.

Enhancing the Cybersecurity Checklist for Mobile Applications in DTx based on MITRE ATT&CK for Ensuring Privacy

  • Gee-hee Yun;Kyoung-jin Kim
    • Journal of Internet Computing and Services
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    • v.24 no.4
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    • pp.15-24
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    • 2023
  • Digital therapeutics (DTx) are utilized to replace or supplement drug therapy to treat patients. DTx are developed as a mobile application for portability and convenience. The government requires security verification to be performed on digital medical devices that manage sensitive information during the transmission and storage of patient data. Although safety verification is included in the approval process for DTx, the cybersecurity checklist used as a reference does not reflect the characteristics of mobile applications. This poses the risk of potentially overlooking vulnerabilities during security verification. This study aims to address this issue by comparing and analyzing existing items based on the mobile tactics, techniques, and procedures of MITRE ATT&CK, which manages globally known and occurring vulnerabilities through regular updates. We identify 16 items that require improvement and expand the checklist to 29 items to propose improvement measures. The findings of this study may contribute to the safe development and advancement of DTx for managing sensitive patient information.

Classification of Network Traffic using Machine Learning for Software Defined Networks

  • Muhammad Shahzad Haroon;Husnain Mansoor
    • International Journal of Computer Science & Network Security
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    • v.23 no.12
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    • pp.91-100
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    • 2023
  • As SDN devices and systems hit the market, security in SDN must be raised on the agenda. SDN has become an interesting area in both academics and industry. SDN promises many benefits which attract many IT managers and Leading IT companies which motivates them to switch to SDN. Over the last three decades, network attacks becoming more sophisticated and complex to detect. The goal is to study how traffic information can be extracted from an SDN controller and open virtual switches (OVS) using SDN mechanisms. The testbed environment is created using the RYU controller and Mininet. The extracted information is further used to detect these attacks efficiently using a machine learning approach. To use the Machine learning approach, a dataset is required. Currently, a public SDN based dataset is not available. In this paper, SDN based dataset is created which include legitimate and non-legitimate traffic. Classification is divided into two categories: binary and multiclass classification. Traffic has been classified with or without dimension reduction techniques like PCA and LDA. Our approach provides 98.58% of accuracy using a random forest algorithm.

A Study on the Enterprise Application Framework for Developing Efficient RFID Applications (효율적인 RFID 애플리케이션 개발을 위한 엔터프라이즈 애플리케이션 프레임워크에 관한 연구)

  • An, Kyu-Hee;Yang, Seok-Hwan;Chung, Mok-Dong
    • Journal of Korea Multimedia Society
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    • v.11 no.2
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    • pp.269-280
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    • 2008
  • The information flow through RFID techniques such as, standardized EPC and EPCglobal network suggests new change in the method of cooperating and sharing information in the supply chain. Common function should be prepared for communication, security techniques, and business processes based on the EPCglobal standard to introduce efficient RFID techniques. And the standard architecture which can deal with the RFID environment flexibly is quite necessary. Therefore, this paper suggests Enterprise Application Framework (EAF) for developing efficient and secure RFID applications. EAF offers essential services to develop RFID enterprise systems : a communication environment which uses various standard communication protocols, a security function based on PKI, and abstract business services for flexible introduction of RFID businesses. It simplifies the RFID business integration, minimizes the development complexity, and thus EAF is expected to reduce the cost of RFID application development. EAF guarantees constructing secure RFID applications due to PKI-based security mechanism.

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