• Title/Summary/Keyword: Security essential information

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The Study on the Effective Prevention Mechanism of Masquerade Attacks on Wireless Ad hoc Network (무선 Ad hoc 네트워크의 효율적인 위장 공격 방지 메커니즘에 관한 연구)

  • Hong, Soon-Jwa;Park, Hyun-Dong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.16 no.6
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    • pp.135-149
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    • 2006
  • Securing wireless Ad hoc network including the secure mechanism design and implementation is generally more difficult for vulnerability of channels and nodes, the absence of infrastructure, topology that change dynamically, and etc, than ire network. The efforts of early researches are based on the adaptation of securing methods for the wire network to wireless ad hoc network. However, wireless ad hoc network could not get effective study finding because network has essential problems. This paper proposes that some new problems are being came to light over the survivability and availability of the network itself, that are caused by the massive packet attack of more than one or two nodes, and proves the consequence of this phenomenon. Also, we propose an effective prevention mechanism of masquerade attacks for survivability reinforcement that escape standard of the early way by survivability of wireless Ad hoc network and approaches for performance elevation and reflect special quality of wireless Ad hoc network.

Next-Generation Personal Authentication Scheme Based on EEG Signal and Deep Learning

  • Yang, Gi-Chul
    • Journal of Information Processing Systems
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    • v.16 no.5
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    • pp.1034-1047
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    • 2020
  • The personal authentication technique is an essential tool in this complex and modern digital information society. Traditionally, the most general mechanism of personal authentication was using alphanumeric passwords. However, passwords that are hard to guess or to break, are often hard to remember. There are demands for a technology capable of replacing the text-based password system. Graphical passwords can be an alternative, but it is vulnerable to shoulder-surfing attacks. This paper looks through a number of recently developed graphical password systems and introduces a personal authentication system using a machine learning technique with electroencephalography (EEG) signals as a new type of personal authentication system which is easier for a person to use and more difficult for others to steal than other preexisting authentication systems.

Technology Review on Multimodal Biometric Authentication (다중 생체인식 기반의 인증기술과 과제)

  • Cho, Byungchul;Park, Jong-Man
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.1
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    • pp.132-141
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    • 2015
  • There might have been weakness in securing user authentication or verification with real time service approach, while existing unimodal biometric authentication has been used mainly for user identification and recognition. Accordingly, it is essential to research and develop ways that upgrade security performance with multi biometric based real time authentication and verification technology. This paper focused to suggest binding assignment and strategy for developing multi biometric authentication technology through investigation of advanced study and patents. Description includes introduction, technology outline, technology trend, patent analysis, and conclusion.

Design of Port Security System Using Deep Learning and Object Features (딥러닝과 객체 특징점을 활용한 항만 보안시스템 설계)

  • Wang, Tae-su;Kim, Minyoung;Jang, Jongwook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.50-53
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    • 2022
  • Recently, there have been cases in which counterfeit foreign ships have entered and left domestic ports several times. Vessels have a ship-specific serial number given by the International Maritime Organization (IMO) to identify the vessel, and IMO marking is mandatory on all ships built since 2004. In the case of airports and ports, which are representative logistics platforms, a security system is essential, but it is difficult to establish a security system at a port and there are many blind spots, which can cause security problems due to insufficient security systems. In this paper, a port security system is designed using deep learning object recognition and OpenCV. The security system process extracts the IMO number of the ship after recognizing the object when entering the ship, determines whether it is the same ship through feature point matching for ships with entry records, and stores the ship image and IMO number in the entry/exit DB for the first arrival vessel. Through the system of this paper, port security can be strengthened by improving the efficiency and system of port logistics by increasing the efficiency of port management personnel and reducing incidental costs caused by unauthorized entry.

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CipherSuite Setting Problem of SSL Protocol and It's Solutions (SSL 프로토콜의 CipherSuite 설정 문제점과 해결 방안)

  • Lee, Yun-Young;Hur, Soon-Haeng;Park, Sang-Joo;Shin, Dong-Hwi;Won, Dong-Ho;Kim, Seung-Joo
    • The KIPS Transactions:PartC
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    • v.15C no.5
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    • pp.359-366
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    • 2008
  • As the use of Internet and information communication technology is being generalized, the SSL protocol is essential in Internet because the important data should be transferred securely. While the SSL protocol is designed to defend from active attack such as message forgery and message alteration, the cipher suite setting can be easily modified. If the attacker draw on a malfunction of the client system and modify the cipher suite setting to the symmetric key algorithm which has short key length, he should eavesdrop and cryptanalysis the encrypt data. In this paper, we examine the domestic web site whether they generate the security session through the symmetric key algorithm which has short key length and propose the solution of the cipher suite setting problem.

Design of License Management Model for super-distribution between DRM Consumers (DRM 사용자간 재배포를 위한 라이센스관리 모델 설계)

  • Lee, Byung-Wook;Liu, Zong-Hua
    • Journal of Internet Computing and Services
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    • v.8 no.3
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    • pp.9-17
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    • 2007
  • Super-distribution is essential for revitalization of digital contents industry in DRM system. Since existing DRM systems emphasize on security for intellectual property rights, it became restrictions to content distribution and the consumer rights. This paper suggests license management mechanism which strengthen super-distribution between consumers. It is to manage distribution history for each content by inserting consumer's identification information in content head. Client can verify security by comparing header and license after issuing license. It classifies the type of distribution and license, and then applies adaptive distribution methods. It can revitalize contents distribution by releasing proper license for super-distribution.

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A Secure Frequency Computation Method over Multisets (안전한 다중집합 빈도 계산 기법)

  • Kim, Myungsun;Park, Jaesung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39B no.6
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    • pp.370-378
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    • 2014
  • It is well known that data mining plays a crucial role in varities of real-world applications, by which extracts knowledge from large volume of datasets. Among functionalties provided by data mining, frequency mining over given multisets is a basic and essential one. However, most of users would like to obtain the frequency over their multisets without revealing their own multisets. In this work, we come up with a novel way to achive this goal and prove its security rigorously. Our scheme has several advantages over existing work as follows: Firstly, our scheme has the most efficient computational complexity in the cardinality of multisets. Further our security proof is rigorously in the simulation paradigm. Lastly our system assumption is general.

An Hybrid Probe Detection Model using FCM and Self-Adaptive Module (자가적응모듈과 퍼지인식도가 적용된 하이브리드 침입시도탐지모델)

  • Lee, Seyul
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.13 no.3
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    • pp.19-25
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    • 2017
  • Nowadays, networked computer systems play an increasingly important role in our society and its economy. They have become the targets of a wide array of malicious attacks that invariably turn into actual intrusions. This is the reason computer security has become an essential concern for network administrators. Recently, a number of Detection/Prevention System schemes have been proposed based on various technologies. However, the techniques, which have been applied in many systems, are useful only for the existing patterns of intrusion. Therefore, probe detection has become a major security protection technology to detection potential attacks. Probe detection needs to take into account a variety of factors ant the relationship between the various factors to reduce false negative & positive error. It is necessary to develop new technology of probe detection that can find new pattern of probe. In this paper, we propose an hybrid probe detection using Fuzzy Cognitive Map(FCM) and Self Adaptive Module(SAM) in dynamic environment such as Cloud and IoT. Also, in order to verify the proposed method, experiments about measuring detection rate in dynamic environments and possibility of countermeasure against intrusion were performed. From experimental results, decrease of false detection and the possibilities of countermeasures against intrusions were confirmed.

Cybersecurity Threats and Responses of Safety Systems in NPPs (원전 안전계통의 사이버보안 위협 및 대응)

  • Jung, Sungmin
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.16 no.1
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    • pp.99-109
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    • 2020
  • In the past, conservative concepts have been applied in terms of the characteristic of nuclear power plants(NPPs), resulting in analog-based equipment and closed networks. However, as digital technology has recently been applied to the design, digital-based facilities and communication networks have been used in nuclear power plants, increasing the risk of cybersecurity than using analog-based facilities. Nuclear power plant facilities are divided into a safety system and a non-safety system. It is essential to identify the difference and cope with cybersecurity threats to the safety system according to its characteristics. In this paper, we examine the cybersecurity regulatory guidelines for safety systems in nuclear power plant facilities. Also, we analyze cybersecurity threats to a programmable logic controller of the safety system and suggest cybersecurity requirements be applied to it to respond to the threats. By implementing security functions suitable for the programmable logic controller according to the suggested cybersecurity requirements, regulatory guidelines can be satisfied, and security functions can be extended according to other system requirements. Also, it can effectively cope with cybersecurity attacks that may occur during the operation of nuclear power plants.

The content based standard data search technology under CALS integrated data environment (국방 CALS 통합 데이터 환경을 위한 내용 기반의 표준 데이터 검색 기술 개발)

  • Jeong, Seung-Uk;U, Hun-Sik
    • Journal of National Security and Military Science
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    • s.2
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    • pp.261-283
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    • 2004
  • To build up the military strength based on information oriented armed forces, the Korean ministry of national defense (MND) promotes the defense CALS (Continuous Acquisition and Life cycle Support) initiative for the reductions of acquisition times, improvements of system qualities, and reductions of costs. These defense CALS activities are the major component of the underlying mid and long term defense digitization program and the ultimate goal of program is to bring a quick victory by providing real-time battlefield intelligence and the economical operations of the military. The concept of defense CALS is to automate the acquisition and disposition of defense systems throughout their life cycle. For implementing defense CALS, the technology for exchange and sharing CALS standard data that is created once and used many times should be considered. In order to develop an efficient CALS information exchange and sharing system, it is required to integrate distributed and heterogeneous data sources and provide systematic search tools for those data. In this study, we developed a content based search engine technology which is essential for the construction of integrated data environments. The developed technology provides the environment of sharing the CALS standard data such as SGML(Standard Generalized Markup Language) and STEP(Standard for The Exchange of Product model data). Utilizing this technology, users can find and access distributed and heterogeneous data sources without knowing its actual location.

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