• Title/Summary/Keyword: DDoS Detection

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A Distributed Communication Model of Intrusion Detection System in Active Network

  • Park, Soo-Young;Park, Sang-Gug
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1577-1580
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    • 2005
  • With remarkable growth of using Internet, attempts to try intrusions on network are now increasing. Intrusion Detection System is a security system which detects and copes illegal intrusions. Especially with increasing dispersive attacks through network, concerns for this Distributed Intrusion Detection are also rising. The previous Intrusion Detection System has difficulty in coping cause it detects intrusions only on particular network and only same segment. About same attacks, system lacks capacity of combining information and related data. Also it lacks cooperations against intrusions. Systematic and general security controls can make it possible to detect intrusions and deal with intrusions and predict. This paper considers Distributed Intrusion Detection preventing attacks and suggests the way sending active packets between nodes safely and performing in corresponding active node certainly. This study suggested improved E-IDS system which prevents service attacks and also studied sending messages safely by encoding. Encoding decreases security attacks in active network. Also described effective ways of dealing intrusions when misuses happens thorough case study. Previous network nodes can't deal with hacking and misuses happened in the middle nodes at all, cause it just encodes ends. With above suggested ideas, problems caused by security services can be improved.

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Research on Malicious code hidden website detection method through WhiteList-based Malicious code Behavior Analysis (WhiteList 기반의 악성코드 행위분석을 통한 악성코드 은닉 웹사이트 탐지 방안 연구)

  • Ha, Jung-Woo;Kim, Huy-Kang;Lim, Jong-In
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.4
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    • pp.61-75
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    • 2011
  • Recently, there is significant increasing of massive attacks, which try to infect PCs that visit websites containing pre-implanted malicious code. When visiting the websites, these hidden malicious codes can gain monetary profit or can send various cyber attacks such as BOTNET for DDoS attacks, personal information theft and, etc. Also, this kind of malicious activities is continuously increasing, and their evasion techniques become professional and intellectual. So far, the current signature-based detection to detect websites, which contain malicious codes has a limitation to prevent internet users from being exposed to malicious codes. Since, it is impossible to detect with only blacklist when an attacker changes the string in the malicious codes proactively. In this paper, we propose a novel approach that can detect unknown malicious code, which is not well detected by a signature-based detection. Our method can detect new malicious codes even though the codes' signatures are not in the pattern database of Anti-Virus program. Moreover, our method can overcome various obfuscation techniques such as the frequent change of the included redirection URL in the malicious codes. Finally, we confirm that our proposed system shows better detection performance rather than MC-Finder, which adopts pattern matching, Google's crawling based malware site detection, and McAfee.

Large Flows Detection, Marking, and Mitigation based on sFlow Standard in SDN

  • Afaq, Muhammad;Rehman, Shafqat;Song, Wang-Cheol
    • Journal of Korea Multimedia Society
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    • v.18 no.2
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    • pp.189-198
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    • 2015
  • Despite the fact that traffic engineering techniques have been comprehensively utilized in the past to enhance the performance of communication networks, the distinctive characteristics of Software Defined Networking (SDN) demand new traffic engineering techniques for better traffic control and management. Considering the behavior of traffic, large flows normally carry out transfers of large blocks of data and are naturally packet latency insensitive. However, small flows are often latency-sensitive. Without intelligent traffic engineering, these small flows may be blocked in the same queue behind megabytes of file transfer traffic. So it is very important to identify large flows for different applications. In the scope of this paper, we present an approach to detect large flows in real-time without even a short delay. After the detection of large flows, the next problem is how to control these large flows effectively and prevent network jam. In order to address this issue, we propose an approach in which when the controller is enabled, the large flow is mitigated the moment it hits the predefined threshold value in the control application. This real-time detection, marking, and controlling of large flows will assure an optimize usage of an overall network.

A Detect and Defense Mechanism of Stateful DRDoS Attacks (상태기반 DRDoS 공격에 대한 탐지 및 방어기법)

  • Kim, Minjun;Seo, Kyungryong
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.5
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    • pp.127-134
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    • 2014
  • In DRDoS(Distributed Reflective Denial of Service) attacks, the victim is bombarded by packets from legitimate reflector unlike DDoS(Distributed Denial of Service) attacks through zombie, which is more dangerous than DDoS attack because it is in stronger disguise. Therefore, the method of filtering packet method on router are useless. Moreover SCTP(Stream Control Transmission Protocol) multi-homing feature, such as with an improved transmission protocol allows detecting attacks is more difficult and the effect of the attack can be maximized. In this paper we propose a DRDoS detection mechanism based on DRDoS utilizing attention to the characteristics of stateful protocols. The proposed scheme is backed by stateful firewall, and detect DRDoS attacks through a rules table and perform a defense treatment against DRDoS attack. Rules table with a simple structure is possible to easily adapt for any kind of stateful protocol can used by DRDoS attack. The experimental result confirm that our proposed scheme well detect DRDoS attacks using SCTP, the next-generation transmission protocol which not known by victim, and reduce the attacking packets rapidly.

A Study of N-IDS Detection regarding a DoS Attack and Packet Analysis (DoS공격에 대한 N-IDS 탐지 및 패킷 분석 연구)

  • Chun, Woo-Sung;Park, Dae-Woo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2008.06a
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    • pp.175-182
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    • 2008
  • 2008년에 있었던 우리나라 금융기관과 정부기관에 대한 DoS 공격에 대한 연구이다. 실험실 환경에서 실제 DoS 공격 툴을 이용하여 공격을 실시한다. DoS 공격을 탐지하기 위하여 네트워크 상에서 Snort를 이용한 N-IDS를 설치하고, 패킷을 탐지하기 위한 Winpcap과 패킷의 저장 및 분석하기 위한 MySQL, HSC, .NET Framework 등을 설치한다. e-Watch 등의 패킷 분석 도구를 통해 해커의 DoS 공격에 대한 패킷량과 TCP, UDP 등의 정보, Port, MAC과 IP 정보 등을 분석한다. 본 논문 연구를 통하여 유비쿼터스 정보화 사회의 역기능인 사이버 DoS, DDoS 공격에 대한 자료를 분석하여 공격자에 대한 포렌식자료 및 역추적 분석 자료를 생성하여 안전한 인터넷 정보 시스템을 확보하는데 의의가 있다.

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Detection System of Hidden Javascript URLs in Web Source Codes (웹 소스코드에 은닉된 Javascript URL 점검체계)

  • Park, Hweerang;Cho, Sangil;Park, JungKyu;Cho, Youngho
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.01a
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    • pp.119-122
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    • 2019
  • 최근 웹 변조 공격은 대형 포탈, 은행, 학교 등 접속자가 많은 홈페이지에 악성 URL을 불법 삽입하여 해당 URL을 통해 접속자 PC에 자동으로 악성코드 유포하고 대규모 봇넷(botnet)을 형성한 후 DDoS 공격을 수행하거나 감염 PC들의 정보를 지속적으로 유출하는 형태로 수행된다. 이때, 홈페이지에 삽입되는 악성 URL은 탐지가 어렵도록 Javascript 난독화 기법(obfuscation technique) 등으로 은밀히 삽입된다. 본 논문에서는 웹 소스코드에 은닉된 악성 Javascript URL들에 대한 일괄 점검체계를 제안하며, 구현된 점검체계의 prototype을 활용하여 점검성능에 대한 시험결과를 제시한다.

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Android Malware Detection Using Auto-Regressive Moving-Average Model (자기회귀 이동평균 모델을 이용한 안드로이드 악성코드 탐지 기법)

  • Kim, Hwan-Hee;Choi, Mi-Jung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.8
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    • pp.1551-1559
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    • 2015
  • Recently, the performance of smart devices is almost similar to that of the existing PCs, thus the users of smart devices can perform similar works such as messengers, SNSs(Social Network Services), smart banking, etc. originally performed in PC environment using smart devices. Although the development of smart devices has led to positive impacts, it has caused negative changes such as an increase in security threat aimed at mobile environment. Specifically, the threats of mobile devices, such as leaking private information, generating unfair billing and performing DDoS(Distributed Denial of Service) attacks has continuously increased. Over 80% of the mobile devices use android platform, thus, the number of damage caused by mobile malware in android platform is also increasing. In this paper, we propose android based malware detection mechanism using time-series analysis, which is one of statistical-based detection methods.We use auto-regressive moving-average model which is extracting accurate predictive values based on existing data among time-series model. We also use fast and exact malware detection method by extracting possible malware data through Z-Score. We validate the proposed methods through the experiment results.

Trust Based False-Positive Reduction Scheme against DoS Attacks (Trust 기반의 DoS 공격에 대한 False-Positive 감소 기법)

  • 박종경;이태근;강용혁;엄영익
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10a
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    • pp.697-699
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    • 2003
  • 최근의 네트워크 공격의 주류는 DoS (denial-of-service)와 DDoS (distributed DoS) 공격이다. 이러한 공격들은 공격자가 침입 대상 시스템의 자원을 완전히 소모시켜서 시스템이 정상적인 서비스를 할 수 없도록 하는 것이다. 각 시스템의 관리자들은 이러한 침입이나 공격을 막기 위한 방편 중에 하나로 IDS(Intrusion detection system)를 사용하고 있다. 그러나 IDS의 높은 false-positive(정상적인 사용을 공격으로 잘못 판단하는 경우)의 발생빈도는 심각한 문제점 중의 하나는 이다. 이런 false-positive의 발생빈도를 줄이고자 본 논문에서는 한번의 판단만으로 연결(connection)을 차단시키지 않고, trust라는 개념을 도입하여 trust의 값에 따라서 사용자에게 차등 서비스를 제공하는 기법을 제안한다. 즉, trust를 이용하는 기법은 각 사용자를 한번에 공격자인지 일반 사용자인지 결정하지 않고, 한 번 더 검사하여 false-positive의 발생빈도를 감소시키는 기법이다.

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A study on Countermeasures by Detecting Trojan-type Downloader/Dropper Malicious Code

  • Kim, Hee Wan
    • International Journal of Advanced Culture Technology
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    • v.9 no.4
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    • pp.288-294
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    • 2021
  • There are various ways to be infected with malicious code due to the increase in Internet use, such as the web, affiliate programs, P2P, illegal software, DNS alteration of routers, word processor vulnerabilities, spam mail, and storage media. In addition, malicious codes are produced more easily than before through automatic generation programs due to evasion technology according to the advancement of production technology. In the past, the propagation speed of malicious code was slow, the infection route was limited, and the propagation technology had a simple structure, so there was enough time to study countermeasures. However, current malicious codes have become very intelligent by absorbing technologies such as concealment technology and self-transformation, causing problems such as distributed denial of service attacks (DDoS), spam sending and personal information theft. The existing malware detection technique, which is a signature detection technique, cannot respond when it encounters a malicious code whose attack pattern has been changed or a new type of malicious code. In addition, it is difficult to perform static analysis on malicious code to which code obfuscation, encryption, and packing techniques are applied to make malicious code analysis difficult. Therefore, in this paper, a method to detect malicious code through dynamic analysis and static analysis using Trojan-type Downloader/Dropper malicious code was showed, and suggested to malicious code detection and countermeasures.

Real-time hacking, detection and tracking ICT Convergence Security Solutions Test and Evaluation (실시간 해킹, 탐지 및 추적관리 ICT 융합 보안 솔루션 시험평가)

  • Kim, Seung-Bum;Yang, Hae-Sool
    • Journal of Digital Convergence
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    • v.13 no.4
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    • pp.235-246
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    • 2015
  • Understanding the various unspecified hacking and repeated cyber DDoS attacks, finally was able to find a solution in the methods of attacks. Freely researching approach that combines the attacker and defender, offensive and defensive techniques can be called a challenge to discover the potential in whimsy. In this paper we test and evaluate "KWON-GA", global white hackers team has made by many years of experiences in infiltration and diagnosis under guise of offence is the best defence. And it is knowledge information ICT Convergence security solution which is developed for the purpose of defence, it provide customization policy that can be fit to customer's system environment with needed techniques and it is processed with unique proprietary technology so that it's not possible to scan. And even if it has leaked internally it's impossible to analyze so hackers can't analyze vulnerability, also it can't be abused as hacking tools.