• Title/Summary/Keyword: network attack

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Electronic Voting Systems Using the Blockchain (블록체인을 활용한 전자투표 시스템 구축)

  • Lee, Roo-daa;Lim, Joa-sang
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.1
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    • pp.103-110
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    • 2019
  • Electronic voting has been followed by a lot of research as it provides convenience to voters and increases participation rates. Nevertheless, electronic voting has not been widespread yet. The existing electronic voting system does not guarantee credibility, and there arises a question on the security that the voting could be forged or altered by the attack to the central server. In this paper, we proposed blockchain based systems to solve the problems in electronic voting. Although the blockchain may guarantee the security of transaction data, there have been only a few electronic voting systems implemented using the blockchain. We developed blockchain enabled voting and brought out some of its related legal, technical and operational challenges to enforce more security in voting. Unlike centralized voting, the systems could enforce security and solve the problems such as forgery or alteration of transaction data caused by hacking or any attempts to gain control of the central server system.

Performance Evaluation of One Class Classification to detect anomalies of NIDS (NIDS의 비정상 행위 탐지를 위한 단일 클래스 분류성능 평가)

  • Seo, Jae-Hyun
    • Journal of the Korea Convergence Society
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    • v.9 no.11
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    • pp.15-21
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    • 2018
  • In this study, we try to detect anomalies on the network intrusion detection system by learning only one class. We use KDD CUP 1999 dataset, an intrusion detection dataset, which is used to evaluate classification performance. One class classification is one of unsupervised learning methods that classifies attack class by learning only normal class. When using unsupervised learning, it difficult to achieve relatively high classification efficiency because it does not use negative instances for learning. However, unsupervised learning has the advantage for classifying unlabeled data. In this study, we use one class classifiers based on support vector machines and density estimation to detect new unknown attacks. The test using the classifier based on density estimation has shown relatively better performance and has a detection rate of about 96% while maintaining a low FPR for the new attacks.

Security Threats and Scenarios using Drones on the Battlefield (전장에서 드론을 활용한 보안 위협과 시나리오)

  • Park, Keun-Seog;Cheon, Sang-pil;Kim, Seong-Pyo;Eom, Jung-ho
    • Convergence Security Journal
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    • v.18 no.4
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    • pp.73-79
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    • 2018
  • Since 1910s, the drones were mainly used for military purposes for reconnaissance and attack targets, but they are now being used in various fields such as disaster prevention, exploration, broadcasting, and surveillance of risk areas. As drones are widely used from military to civilian field, hacking into the drones such as radio disturbance, GPS spoofing, hijacking, etc. targeting drones has begun to occur. Recently, the use of drones in hacking into wireless network has been reported. If the artificial intelligence technology is applied to the drones in the military, hacking into unmanned combat system using drones will occur. In addition, a drone with a hacking program may be able to relay a hacking program to the hacking drone located far away, just as a drone serves as a wireless communication station. And the drones will be equipped with a portable GPS jamming device, which will enable signal disturbance to unmanned combat systems. In this paper, we propose security threats and the anticipated hacking scenarios using the drones on the battlespace to know the seriousness of the security threats by hacking drones and prepare for future cyberspace.

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Secret-key-sharing Cryptosystem Using Optical Phase-shifting Digital Holography

  • Jeon, Seok Hee;Gil, Sang Keun
    • Current Optics and Photonics
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    • v.3 no.2
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    • pp.119-127
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    • 2019
  • A new secret-key-sharing cryptosystem using optical phase-shifting digital holography is proposed. The proposed secret-key-sharing algorithm is based on the Diffie-Hellman key-exchange protocol, which is modified to an optical cipher system implemented by a two-step quadrature phase-shifting digital holographic encryption method using orthogonal polarization. Two unknown users' private keys are encrypted by two-step phase-shifting digital holography and are changed into three digital-hologram ciphers, which are stored by computer and are opened to a public communication network for secret-key-sharing. Two-step phase-shifting digital holograms are acquired by applying a phase step of 0 or ${\pi}/2$ in the reference beam's path. The encrypted digital hologram in the optical setup is a Fourier-transform hologram, and is recorded on CCDs with 256 quantized gray-level intensities. The digital hologram shows an analog-type noise-like randomized cipher with a two-dimensional array, which has a stronger security level than conventional electronic cryptography, due to the complexity of optical encryption, and protects against the possibility of a replay attack. Decryption with three encrypted digital holograms generates the same shared secret key for each user. Schematically, the proposed optical configuration has the advantage of producing a kind of double-key encryption, which can enhance security strength compared to the conventional Diffie-Hellman key-exchange protocol. Another advantage of the proposed secret-key-sharing cryptosystem is that it is free to change each user's private key in generating the public keys at any time. The proposed method is very effective cryptography when applied to a secret-key-exchange cryptosystem with high security strength.

DDoS traffic analysis using decision tree according by feature of traffic flow (트래픽 속성 개수를 고려한 의사 결정 트리 DDoS 기반 분석)

  • Jin, Min-Woo;Youm, Sung-Kwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.1
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    • pp.69-74
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    • 2021
  • Internet access is also increasing as online activities increase due to the influence of Corona 19. However, network attacks are also diversifying by malicious users, and DDoS among the attacks are increasing year by year. These attacks are detected by intrusion detection systems and can be prevented at an early stage. Various data sets are used to verify intrusion detection algorithms, but in this paper, CICIDS2017, the latest traffic, is used. DDoS attack traffic was analyzed using the decision tree. In this paper, we analyzed the traffic by using the decision tree. Through the analysis, a decisive feature was found, and the accuracy of the decisive feature was confirmed by proceeding the decision tree to prove the accuracy of detection. And the contents of false positive and false negative traffic were analyzed. As a result, learning the feature and the two features showed that the accuracy was 98% and 99.8% respectively.

Recovery-Key Attacks against TMN-family Framework for Mobile Wireless Networks

  • Phuc, Tran Song Dat;Shin, Yong-Hyeon;Lee, Changhoon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.6
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    • pp.2148-2167
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    • 2021
  • The proliferation of the Internet of Things (IoT) technologies and applications, especially the rapid rise in the use of mobile devices, from individuals to organizations, has led to the fundamental role of secure wireless networks in all aspects of services that presented with many opportunities and challenges. To ensure the CIA (confidentiality, integrity and accessibility) security model of the networks security and high efficiency of performance results in various resource-constrained applications and environments of the IoT platform, DDO-(data-driven operation) based constructions have been introduced as a primitive design that meet the demand of high speed encryption systems. Among of them, the TMN-family ciphers which were proposed by Tuan P.M., Do Thi B., etc., in 2016, are entirely suitable approaches for various communication applications of wireless mobile networks (WMNs) and advanced wireless sensor networks (WSNs) with high flexibility, applicability and mobility shown in two different algorithm selections, TMN64 and TMN128. The two ciphers provide strong security against known cryptanalysis, such as linear attacks and differential attacks. In this study, we demonstrate new probability results on the security of the two TMN construction versions - TMN64 and TMN128, by proposing efficient related-key recovery attacks. The high probability characteristics (DCs) are constructed under the related-key differential properties on a full number of function rounds of TMN64 and TMN128, as 10-rounds and 12-rounds, respectively. Hence, the amplified boomerang attacks can be applied to break these two ciphers with appropriate complexity of data and time consumptions. The work is expected to be extended and improved with the latest BCT technique for better cryptanalytic results in further research.

Design of Accounting and Security Sessions for IEEE 802.11 Network (무선랜 정보보호를 위한 accounting 및 보안 세션의 설계)

  • 양대헌;오경희;강유성;함영환;정병호
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.13 no.6
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    • pp.85-96
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    • 2003
  • Wireless LAM in itself is vulnerable to eavesdropping and modification attack, and thus, IEEE 802.11i and IEEE 802. 1x/1aa have been defined to secure the wireless channel. These protocols accompanied by RADIUS and EAP-TLS provide users of wireless LAM with integrity and confidentiality services, and also they perform authentication and access control of wireless ports. In this paper, we suggest a method to implement accounting session using authentication session of IEEE 802. 1x and accounting state machine is designed with the accounting session. Also, we propose a key exchange mechanism to establish secure channel between stations and an access point. The mechanism is designed to be inter-operable with IEEE 802. 1aa.

A Study on the Security analysis and Applications of Standard Key agreement protocols based on Elliptic curve cryptosystem (타원 곡선에 기반한 표준 키 분배 프로토콜의 안전성 분석 및 응용 분야에 관한 연구)

  • 오수현;이승우;심경아;양형규;원동호
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.12 no.3
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    • pp.103-118
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    • 2002
  • To provide the privacy of transmitted message over network the use of cryptographic system is increasing gradually. Because the security and reliability of the cryptographic system is totally rely on the key, the key management is the most important part of the cryptographic system. Although there are a lot of security products providing encryption, the security of the key exchange protocols used in the product are not mostly proved yet. Therefore, we have to study properties and operation of key agreement protocols based on elliptic curve in ANSI X9.63. furthermore, we analyze the security of their protocols under passive and active attacker models and propose the most suitable application field taking the feature of the protocols into account.

A Study on the Multiplexing of a Communication Line for the Physical Load Balancing-Based Prevention of Infringement (물리적 부하 균형(Load-balancing) 기반의 침해방지를 위한 통신라인 다중화에 관한 연구)

  • Choi, Hee-Sik;Seo, Woo-Seok;Jun, Moon-Seog
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.1
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    • pp.81-91
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    • 2012
  • Presently in 2011, there are countless attacking tools oriented to invading security on the internet. And most of the tools are possible to conduct the actual invasion. Also, as the program sources attacking the weaknesses of PS3 were released in 2010 and also various sources for attacking agents and attacking tools such as Stuxnet Source Code were released in 2011, the part for defense has the greatest burden; however, it can be also a chance for the defensive part to suggest and develop methods to defense identical or similar patterned attacking by analyzing attacking sources. As a way to cope with such attacking, this study divides the network areas targeted for attack based on load balancing by the approach gateways and communication lines according to the defensive policies by attacking types and also suggests methods to multiply communication lines. The result of this paper will be provided as practical data to realize defensive policies based on high hardware performances through enhancing the price competitiveness of hardware infrastructure with 2010 as a start.

Efficient Message Authentication Scheme for VANET (차량 애드혹 네트워크 환경에서 효율적인 메시지 인증 기법)

  • Yoo, Young-Jun;Lee, Jun-Ho;Lee, Dong-Hoon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.19 no.6
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    • pp.37-47
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    • 2009
  • In VANET, each vehicle can obtain traffic information from other vehicles or infrastructure, and they frequently exchange life-critical safety message. Therefore, it is necessary among vehicles to establish a secure channel for keeping the driver's safe and protecting the channel against several attack challenges. TSVC is a representative scheme which needs low communication and computation to be performed. But, there is a delay when verifying the messages because it is designed based on TESLA. Thus, it is not acceptable to use TSVC for sending the time-critical messages. In this paper, we propose a novel message authentication scheme which reduces a delay for the verification of messages. Therefore, the proposed scheme can be suitable to transmitting time-critical messages. Furthermore, the scheme supports to privacy preservation and can robust against DoS attacks.