• Title/Summary/Keyword: worm attack

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DEVS-based Modeling Methodology for Cybersecurity Simulations from a Security Perspective

  • Kim, Jiyeon;Kim, Hyung-Jong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.5
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    • pp.2186-2203
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    • 2020
  • Security administrators of companies and organizations need to come up with proper countermeasures against cyber-attacks considering infrastructures and security policies in their possession. In order to develop and verify such countermeasures, the administrators should be able to reenact both cyber-attacks and defenses. Simulations can be useful for the reenactment by overcoming its limitations including high risk and cost. If the administrators are able to design various scenarios of cyber-attacks and to develop simulation models from their viewpoints, they can simulate desired situations and observe the results more easily. It is challenging to simulate cyber-security issues, because there is lack of theoretical basis for modeling a wide range of the security field as well as pre-defined basic components used to model cyber-attacks. In this paper, we propose a modeling method for cyber-security simulations by developing a basic component and a composite model, called Abstracted Cyber-Security Unit Model (ACSUM) and Abstracted Cyber-security SIMulation model (ACSIM), respectively. The proposed models are based on DEVS(Discrete Event systems Specification) formalism, a modeling theory for discrete event simulations. We develop attack scenarios by sequencing attack behaviors using ACSUMs and then model ACSIMs by combining and abstracting the ACSUMs from a security perspective. The concepts of ACSUM and ACSIM enable the security administrators to simulate numerous cyber-security issues from their viewpoints. As a case study, we model a worm scenario using ACSUM and simulate three types of simulation models based on ACSIM from a different security perspective.

A Study for PKI Based Home Network System Authentication and Access Control Protocol (PKI 기반 홈 네트워크 시스템 인증 및 접근제어 프로토콜에 관한 연구)

  • Lee, Young-Gu;Kim, Jung-Jae;Kim, Hyun-Chul;Jun, Moon-Seog
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.4B
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    • pp.592-598
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    • 2010
  • A home network system is made up of subject of cyber attack from a variety factors of threatening, but also have security weakness in cases of hacking, vicious code, worm virus, DoS attack, tapping of communication network, and more. So, the necessity for a security protocol to protect user asset and personal information within a home network is gradually increasing. Thus, this paper designs and suggests a home network security protocol using user authentication and approach-control technology to prevent the threat by unauthorized users towards personal information and user asset in advance by providing the gradual authority to corresponding devices based on authorized information, after authorizing the users with a Public Key Certificate.

Dynamic Threshold Method for Isolation of Worm Hole Attack in Wireless Sensor Networks

  • Surinder Singh;Hardeep Singh Saini
    • International Journal of Computer Science & Network Security
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    • v.24 no.5
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    • pp.119-128
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    • 2024
  • The moveable ad hoc networks are untrustworthy and susceptible to any intrusion because of their wireless interaction approach. Therefore the information from these networks can be stolen very easily just by introducing the attacker nodes in the system. The straight route extent is calculated with the help of hop count metric. For this purpose, routing protocols are planned. From a number of attacks, the wormhole attack is considered to be the hazardous one. This intrusion is commenced with the help of couple attacker nodes. These nodes make a channel by placing some sensor nodes between transmitter and receiver. The accessible system regards the wormhole intrusions in the absence of intermediary sensor nodes amid target. This mechanism is significant for the areas where the route distance amid transmitter and receiver is two hops merely. This mechanism is not suitable for those scenarios where multi hops are presented amid transmitter and receiver. In the projected study, a new technique is implemented for the recognition and separation of attacker sensor nodes from the network. The wormhole intrusions are triggered with the help of these attacker nodes in the network. The projected scheme is utilized in NS2 and it is depicted by the reproduction outcomes that the projected scheme shows better performance in comparison with existing approaches.

Intrusion Detection Using Bayesian Techniques on the IPv6 Environment (IPv6 환경에서의 베이지안 기법을 이용한 침해탐지)

  • Koo, Min-Jeong;Min, Byoung-Won
    • Proceedings of the Korea Contents Association Conference
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    • 2006.05a
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    • pp.385-387
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    • 2006
  • The rapidly development of computing environments and the spread of Internet make possible to obtain and use of information easily. The IPv6 environment combined the home network and All-IP Network with has arrived, the damages cased by the attacks from the worm attacks and the various virus has been increased. the In this paper, intrusion detection method using Attack Detection Algorithm Using Bayesian Techniques on the IPv6 Environment.

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Prevention of DDoS Attacks for Enterprise Network Based on Traceback and Network Traffic Analysis

  • Ma, Yun-Ji;Baek, Hyun-Chul;Kim, Chang-Geun;Kim, Sang-Bok
    • Journal of information and communication convergence engineering
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    • v.7 no.2
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    • pp.157-163
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    • 2009
  • With the wide usage of internet in many fields, networks are being exposed to many security threats, such as DDoS attack and worm/virus. For enterprise network, prevention failure of network security causes the revealing of commercial information or interruption of network services. In this paper, we propose a method of prevention of DDoS attacks for enterprise network based on traceback and network traffic analysis. The model of traceback implements the detection of IP spoofing attacks by the cooperation of trusted adjacent host, and the method of network traffic analysis implements the detection of DDoS attacks by analyzing the traffic characteristic. Moreover, we present the result of the experiments, and compare the method with other methods. The result demonstrates that the method can effectively detect and block DDoS attacks and IP spoofing attacks.

Design of Harmful Traffic Analysis System (유해트래픽 분석 시스템 설계)

  • Chang Moon-Soo;Koo Hyang-Ohk;Oh Chang-Suk
    • Proceedings of the Korea Contents Association Conference
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    • 2005.05a
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    • pp.87-90
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    • 2005
  • The rapid development of computing and network environment has brought about the potential vulnerability. Therefore the damage from this vulnerability like Worm, hacking increases continually. In order to resolve this problem, implement the analysis system for mischievous traffic for defending new types of attack and analyzing the traffic takes a real-time action against intrusion and harmful information packet.

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Simulation-based Network Vulnerability Analysis Using the SIMVA (SIMVA를 이용한 시뮬레이션 기반의 네트워크 취약성 분석)

  • You Yong-Jun;Lee Jang-Se;Chi Sung-Do
    • Journal of the Korea Society for Simulation
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    • v.13 no.3
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    • pp.21-29
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    • 2004
  • The major objective of this paper is to analyze network vulnerabilities using the SIMVA (SIMualtion-based Vulnerability Analyzer). SIMVA is capable of monitor network status and analyze vulnerabilities automatically. To do this, we have employed the advanced modeling and simulation concepts such as SES/MB (System Entity Structure / Model Base) framework, DEVS (Discrete Event System Specification) formalism, and experimental frame for developing network security models and simulation-based analysis of vulnerability. SIMVA can analyze static vulnerability as well as dynamic vulnerability consistently and quantitatively. In this paper, we verified and tested the capability of application of SIMVA by slammer worm attack scenario.

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Monitoring and Filtering System for DoS Attack Style Worm Virus (서비스 거부 공격형 웜 바이러스 모니터링 및 차단 시스템)

  • 김지환;김성조
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.10e
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    • pp.292-294
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    • 2002
  • 인터넷 사용의 급증과 함께 Code-Red나 Nimda와 같은 서비스 거부 공격형 웜 바이러스가 급격히 확산되고 있으며 이로 인한 피해가 급증하고 있다. 이러한 웜 바이러스 대부분 일정 패턴의 HTTP 요청을 가지고 있으며 이러한 HTTP 요청 패턴을 확인하면 현재 감염된 클라이언트를 확인 할 수 있다. 그러나 새로운 웜 바이러스의 출현 시에는 기존에 분석한 요청 패턴만으로는 감염된 클라이언트의 확인이 불가능하다. 따라서 본 논문에서는 프락시 서버를 이용하여 실시간으로 바이러스 패턴을 분석하여 그 HTTP 요청 패턴과, 감염된 클라이언트 정보를 관리자에게 전송하며 자동으로 해당 클라이언트 및 해당 패턴에 대한 요청을 차단하여 바이러스의 확산을 막는 시스템을 제안한다.

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A Probabilistic Model of Damage Propagation based on the Markov Process (마코프 프로세스에 기반한 확률적 피해 파급 모델)

  • Kim Young-Gab;Baek Young-Kyo;In Hoh-Peter;Baik Doo-Kwon
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.8
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    • pp.524-535
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    • 2006
  • With rapid development of Internet technology, business management in an organization or an enterprise depends on Internet-based technology for the most part. Furthermore, as dependency and cohesiveness of network in the communication facilities are increasing, cyber attacks have been increased against vulnerable resource in the information system. Hence, to protect private information and computer resource, research for damage propagation is required in this situation. However the proposed traditional models present just mechanism for risk management, or are able to be applied to the specified threats such as virus or worm. Therefore, we propose the probabilistic model of damage propagation based on the Markov process, which can be applied to diverse threats in the information systems. Using the proposed model in this paper, we can predict the occurrence probability and occurrence frequency for each threats in the entire system.

A Scheme of Distributed Network Security Management against DDoS Attacks (DDoS 공격에 대응하는 분산 네트워크 보안관리 기법)

  • Kim Sung-Ki;Yoo Seung-Hwan;Kim Moon-Chan;Min Byoung-Joon
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.7 s.349
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    • pp.72-83
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    • 2006
  • It is not a practical solution that the DDoS attacks or worm propagations are protected and responded within a domain itself because it clogs access of legitimate users to share communication lines beyond the boundary a domain. Especially, the DDoS attacks with spoofed source address or with bogus packets that the destination addresses are changed randomly but has the valid source address does not allow us to identify access of legitimate users. We propose a scheme of distributed network security management to protect access of legitimate users from the DDoS attacks exploiting randomly spoofed source IP addresses and sending the bogus packets. We assume that Internet is divided into multiple domains and there exists one or more domain security manager in each domain, which is responsible for identifying hosts within the domain. The domain security manager forwards information regarding identified suspicious attack flows to neighboring managers and then verifies the attack upon receiving return messages from the neighboring managers. Through the experiment on a test-bed, the proposed scheme was verified to be able to maintain high detection accuracy and to enhance the. normal packet survival rate.