• Title/Summary/Keyword: Cyber attacks

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Tag-Reader Mutual Authentication Protocol for secure RFID environments (안전한 RFID 환경을 위한 태그-리더 상호 인증 프로토콜)

  • Lee, Young-Seok;Choi, Hoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.2
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    • pp.357-364
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    • 2015
  • Tags and Readers is receiving and sending the data using the wireless communication in the RFID environment. Therefore, it could allow an attacker to participate in the network without the physical constraints, which can be easily exposed to a variety of attacks, such as taps and data forgery. Also, it is not easy to apply the security techniques to defend external attacks because the resource constraints of RFID tags is high. In this paper, new tag-reader mutual authentication protocol is proposed to protect the external cyber attacks such as spoofing attacks, replay attacks, traffic analysis attacks, location tracking attacks. The performance evaluation of the proposed mutual authentication protocol is performed and the simulation results are presented.

A Study on Preprocessing Method in Deep Learning for ICS Cyber Attack Detection (ICS 사이버 공격 탐지를 위한 딥러닝 전처리 방법 연구)

  • Seonghwan Park;Minseok Kim;Eunseo Baek;Junghoon Park
    • Smart Media Journal
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    • v.12 no.11
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    • pp.36-47
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    • 2023
  • Industrial Control System(ICS), which controls facilities at major industrial sites, is increasingly connected to other systems through networks. With this integration and the development of intelligent attacks that can lead to a single external intrusion as a whole system paralysis, the risk and impact of security on industrial control systems are increasing. As a result, research on how to protect and detect cyber attacks is actively underway, and deep learning models in the form of unsupervised learning have achieved a lot, and many abnormal detection technologies based on deep learning are being introduced. In this study, we emphasize the application of preprocessing methodologies to enhance the anomaly detection performance of deep learning models on time series data. The results demonstrate the effectiveness of a Wavelet Transform (WT)-based noise reduction methodology as a preprocessing technique for deep learning-based anomaly detection. Particularly, by incorporating sensor characteristics through clustering, the differential application of the Dual-Tree Complex Wavelet Transform proves to be the most effective approach in improving the detection performance of cyber attacks.

Fifteen Deadly Cybersecurity Threats Aimed Covid-19

  • Alaboudi, Abdulellah A.
    • International Journal of Computer Science & Network Security
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    • v.21 no.12
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    • pp.123-130
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    • 2021
  • Cybersecurity has been vital for decades and will remain vital with upcoming ages with new technological developments. Every new day brings advancement in technology, which leads to new horizons, and at the same time, it brings new security challenges. Numerous researchers around the globe are continuously striving hard to provide better solutions for the daily basis of new arising security issues. However, the challenges are always there. These challenges become new norms during the current Covid pandemic, where most industries, small industrial enterprises, education, finance, public sectors, etc. were under several attacks and threats globally. The hacker has more opportunities during the pandemic period by shifting most of the operations live. This research enlightened the several cybersecurity attacks and threats during this pandemic time globally. It provided the best possible recommendations to avoid them using the cyber awareness and with appropriately linked training. This research can provide a guideline to the above stated sector by identifying the related attacks.

On-line Shared Platform Evaluation Framework for Advanced Persistent Threats

  • Sohn, Dongsik;Lee, Taejin;Kwak, Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.5
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    • pp.2610-2628
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    • 2019
  • Advanced persistent threats (APTs) are constant attacks of specific targets by hackers using intelligent methods. All current internal infrastructures are constantly subject to APT attacks created by external and unknown malware. Therefore, information security officers require a framework that can assess whether information security systems are capable of detecting and blocking APT attacks. Furthermore, an on-line evaluation of information security systems is required to cope with various malicious code attacks. A regular evaluation of the information security system is thus essential. In this paper, we propose a dynamic updated evaluation framework to improve the detection rate of internal information systems for malware that is unknown to most (over 60 %) existing static information security system evaluation methodologies using non-updated unknown malware.

A Study for Cyber Situation Awareness System Development with Threat Hunting (위협 헌팅을 적용한 사이버 상황인식 시스템 개발에 관한 연구)

  • Lee, Jaeyeon;Choi, Jeongin;Park, Sanghyun;Kim, Byeongjin;Hyun, Dae-Won;Kim, Gwanyoung
    • Journal of the Korea Institute of Military Science and Technology
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    • v.21 no.6
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    • pp.807-816
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    • 2018
  • Threat hunting is defined as a process of proactively and iteratively searching through networks to detect and isolate advanced threats that evade existing security solutions. The main concept of threat hunting is to find out weak points and remedy them before actual cyber threat has occurred. And HMM(Hunting Maturity Matrix) is suggested to evolve hunting processes with five levels, therefore, CSOC(Cyber Security Operations Center) can refer HMM how to make them safer from complicated and organized cyber attacks. We are developing a system for cyber situation awareness system with pro-active threat hunting process called unMazeTM. With this unMaze, it can be upgraded CSOC's HMM level from initial level to basic level. CSOC with unMaze do threat hunting process not only detecting existing cyber equipment post-actively, but also proactively detecting cyber threat by fusing and analyzing cyber asset data and threat intelligence.

Security Technology for SCADA Communication Data (SCADA 통신 데이터 보호 기술)

  • Kim, Hak-Man
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2008.10a
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    • pp.217-219
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    • 2008
  • SCADA(Supervisory Control and Data Acquisition) is popular control and monitor areas not only in critical infrastructures such as electric power, gas, oil but also industrial applications. Increasement of cyber attack technique and frequency threats secure operation of SCADA systems. Recently many researches have been studied for protecting SCADA system against cyber attacks. This paper introduces overall security technologies in SCADA systems.

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Cyber Defense Analysis and Improvement of Military ecosystem with Information Security Industry (국방 사이버 방호체계 구축 생태계 취약점 분석 및 개선방안)

  • Baek, Jaejong;Moon, Byoung-Moo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.24 no.6
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    • pp.1263-1269
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    • 2014
  • Since the cyber defense has been dependent on commercial products and protection systems, in aspect of the recent trends, our cyber defence ecosystem can be more vulnerable. In case of general defense weapon companies, they have to be observed by the government such as certain proprietary technologies and products for the protection from the enemy. On the contrary, most cyber weapon companies have not been managed like that. For this reason, cyber attack can reach to the inside of our military through the security hole of commercial products. In this paper, we enhanced a military cyber protection ecosystems out of enemy attacks and analyze the hypothetical scenarios to evaluate and verify the vulnerability, and finally more securable ecosystem of military protection system is presented politically and technically.

Study on Strengthening the Maritime Sector Cybersecurity (해상 사이버보안 강화방안 연구)

  • Yoo, Yun-Ja;Park, Han-Seon;Park, Hye-Ri
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.05a
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    • pp.238-239
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    • 2019
  • Cyber attacks can be caused by all equipment that perform communication functions, and the link between ship and land due to the development of communication technology means that the ship sector as well as the land sector can be easily exposed to cyber threat vulnerability. In this paper, we analyze cyber threat trend changes to identify cyber security vulnerabilities in the maritime sector and propose measures to enhance cyber security through other industry case studies.

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A Simulation Model for the Response of Information-Warfare based on Computer Forensics (정보전대응을 위한 컴퓨터 포렌식스 기반 모의실험1))

  • Choe, Yong-Rak;Ko, Byong-Su;Park, Meong-Chan
    • Journal of National Security and Military Science
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    • s.1
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    • pp.391-421
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    • 2003
  • While the social activities using Internet become generalized, the side effect of the information security violation is increasing steadily and threaten the countries which is not ready to prevent from offensive penetration such as the Information-fighter or Cyber-military. In this paper, we define the concept and characteristics of the modern Information-Warfare and analyze various kinds of threatened elements and also examine the recent trend in other countries. And introducing Computer Forensics raised recently for the confrontation against the security violation in the future, we will show the developing strategies and the necessity in order to response cyber attacks. These developing strategies can be used to ensure and re-trace the technical evidence for the security violation and to achieve the disaster relief effectively. So we hope that can apply them to the actual preparation through developing cyber trial test of the defense and attack for the Information-Warfare.

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Cyber Security Approaches for Industrial Control Networks

  • Dillabaugh, Craig;Nandy, Biswajit;Seddigh, Nabil;Wong, Kevin;Lee, Byoung-Joon (BJ)
    • Review of KIISC
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    • v.26 no.6
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    • pp.42-50
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    • 2016
  • Critical infrastructure (CI) such as the electrical grid, transportation systems and water resource systems are controlled by Industrial Control and SCADA (Supervisory Control and Data Acquisition) networks. During the last few years, cyber attackers have increasingly targeted such CI systems. This is of great concern because successful attacks have wide ranging impact and can cause widespread destruction and loss of life. As a result, there is a critical requirement to develop enhanced algorithms and tools to detect cyber threats for SCADA networks. Such tools have key differences with the tools utilized to detect cyber threats in regular IT networks. This paper discusses key factors which differentiate network security for SCADA networks versus regular IT networks. The paper also presents various approaches used for SCADA security and some of the advancements in the area.