• Title/Summary/Keyword: Network Attack Detecting

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Efficient Buffer Management Scheme for Mitigating Possibility of DDoS Attack (DDoS 공격 가능성 완화를 위한 효율적인 버퍼 관리 기술)

  • Noh, Hee-Kyeong;Kang, Nam-Hi
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.2
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    • pp.1-7
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    • 2012
  • DDoS attack is a malicious attempt to exhaust resources of target system and network capacities using lots of distributed zombi systems. DDoS attack introduced in early 2000 has being evolved over time and presented in a various form of attacks. This paper proposes a scheme to detect DDoS attacks and to reduce possibility of such attacks that are especially based on vulnerabilities presented by using control packets of existing network protocols. To cope with DDoS attacks, the proposed scheme utilizes a buffer management techniques commonly used for congestion control in Internet. Our scheme is not intended to detect DDoS attacks perfectly but to minimize possibility of overloading of internal system and to mitigate possibility of attacks by discarding control packets at the time of detecting DDoS attacks. In addition, the detection module of our scheme can adapt dynamically to instantly increasing traffic unlike previously proposed schemes.

Method of Detecting and Isolating an Attacker Node that Falsified AODV Routing Information in Ad-hoc Sensor Network (애드혹 센서 네트워크에서 AODV 라우팅 정보변조 공격노드 탐지 및 추출기법)

  • Lee, Jae-Hyun;Kim, Jin-Hee;Kwon, Kyung-Hee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.12
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    • pp.2293-2300
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    • 2008
  • In ad-hoc sensor network, AODV routing information is disclosed to other nodes because AODV protocol doesn't have any security mechanisms. The problem of AODV is that an attacker can falsify the routing information in RREQ packet. If an attacker broadcasts the falsified packet, other nodes will update routing table based on the falsified one so that the path passing through the attacker itself can be considered as a shortest path. In this paper, we design the routing-information-spoofing attack such as falsifying source sequence number and hop count fields in RREQ packet. And we suggest an efficient scheme for detecting the attackers and isolating those nodes from the network without extra security modules. The proposed scheme doesn't employ cryptographic algorithm and authentication to reduce network overhead. We used NS-2 simulation to evaluate the network performance. And we analyzed the simulation results on three cases such as an existing normal AODV, AODV under the attack and proposed AODV. Simulation results using NS2 show that the AODV using proposed scheme can protect the routing-information-spoofing attack and the total n umber of received packets for destination node is almost same as the existing norm at AODV.

Detecting Inner Attackers and Colluded nodes in Wireless Sensor Networks Using Hop-depth algorithm (Hop-depth 알고리즘을 이용한 무선 센서 네트워크상에서의 내부공격자 및 공모노드 검출)

  • Rhee, Kang-Hyeon
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.44 no.1
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    • pp.113-121
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    • 2007
  • Commonly, in the Sensor Network that composed with multiple nodes uses Ad-hoc protocol to communicate each other. Each sensed data packets are collected by base node and processed by Host PC. But the Ad-hoc protocol is too vulnerable to Sinkhole attack, where the intruder attracts surrounding nodes with unfaithful routing information, and then performs selective forwarding or changes the data passing through it. The Sinkhole attack increases overhead over the network and boosts energy consumption speed to decrease network's life time. Since the other attacks can be easily adopted through sinkhole attack, the countermeasure must be considered carefully. In this paper, we proposed the Hop-depth algorithm that detects intruder in Sinkhole attack and colluded nodes. First, the proposed algorithm makes list of suspected nodes and identifies the real intruder in the suspected node list through the Hop-depth count value. And recalculates colluder's path information to find the real intruder. We evaluated the performance of the proposed algorithm using NS2. We compared and analyzed the success ratio of finding real intruder, false positive ratio, false negative ratio, and energy consumption.

DNP3 Protocol Security and Attack Detection Method (DNP3 프로토콜 보안 현황 및 공격 탐지 방안)

  • Kwon, Sung-Moon;Yoo, Hyung-Uk;Lee, Sang-Ha;Shon, Tae-Shik
    • Journal of Advanced Navigation Technology
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    • v.18 no.4
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    • pp.353-358
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    • 2014
  • In the past, security on control system was guaranteed by isolation of control system networks from external networks. However as devices of the control systems became more various and interaction between the devices became necessary, effective management system for such network emerged and this triggered connection between control system networks and external system networks. This made management of control system easier but also made control system exposed to various cyber attack threats, Therefore researches on appending security measures on each protocols are in progress. This paper focused on DNP(distributed network protocol)3 protocol which is used for communication between control center and substations. It describes characteristics of DNP3 protocol and research on adding security elements to the protocol. It also analyzed known vulnerabilities of DNP3 protocol and proposed data mining methodology for detecting such vulnerabilities.

System Design of IDS for DDoS Detect and Defense (DDoS공격감지 및 방어를 위한 침입방지 시스템의 설계)

  • Hong, Seong-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.11
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    • pp.6845-6848
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    • 2014
  • This paper proposes a system design of IDS for detecting and defending against DDoS attacks on a network. The proposed system has three parts; the Alert, Attack Analyzer and Defense agent. When the server resource was reduced too much by incoming traffic, the Alert Agent sends message and traffic information to the Attack Analyzer. The message and traffic to the Attack analyzer include only the sender & receiver address and packet numbers for minimizing the overload of Attack Analyzer. Message Received Attack Analyzer investigates the Message. If the pattern of traffic is the same as the DDoS Style, the Analyzer sends a message to the Defense Agent to block that traffic. In this system, at the serious state of the server-down, the Attack analyzer uncovers the DDoS Attacker and send a message to the Defense Agent to block that traffic. This works for server reactivation as soon as possible.

Detecting Abnormal Patterns of Network Traffic by Analyzing Linear Patterns and Intensity Features (선형패턴과 명암 특징을 이용한 네트워크 트래픽의 이상현상 감지)

  • Jang, Seok-Woo;Kim, Gye-Young;Na, Hyeon-Suk
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.5
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    • pp.21-28
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    • 2012
  • Recently, the necessity for good techniques of detecting network traffic attack has increased. In this paper, we suggest a new method of detecting abnormal patterns of network traffic data by visualizing their IP and port information into two dimensional images. The proposed approach first generates four 2D images from IP data of transmitters and receivers, and makes one 2D image from port data. Analyzing those images, it then extracts their major features such as linear patterns or high intensity values, and determines if traffic data contain DDoS or DoS Attacks. To comparatively evaluate the performance of the proposed algorithm, we show that our abnormal pattern detection method outperforms the existing algorithm in terms of accuracy and speed.

An Algorithm to Detect Bogus Nodes for a Cooperative Intrusion Detection Architecture in MANETs

  • Hieu Cao Trong;Dai Tran Thanh;Hong Choong-Seon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2006.05a
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    • pp.1117-1120
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    • 2006
  • Wide applications because of their flexibilities and conveniences of Wireless Mobile Ad-hoc Networks (MANETs) also make them more interesting to adversaries. Currently, there is no applied architecture efficient enough to protect them against many types of attacks. Some preventive mechanisms are deployed to protect MANETs but they are not enough. Thus, MANETs need an Intrusion Detection System (IDS) as the second layer to detect intrusion of adversaries to response and diminish the damage. In this paper, we propose an algorithm for detecting bogus nodes when they attempt to intrude into network by attack routing protocol. In addition, we propose a procedure to find the most optimize path between two nodes when they want to communicate with each other. We also show that our algorithm is very easy to implement in current proposed architectures.

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Implementation of Intrusion Detection System Using Packet Capture (패킷캡쳐를 이용한 침입탐지 시스템의 구현)

  • 김영진;한승조
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.6
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    • pp.833-842
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    • 2002
  • Computer security is considered important due to the side effect generated from the expansion of computer network and rapid increase of use of computers. A attack of intruders using a vulnerability of operating system, protocol and application programs. And so, The attack methods is to be high technology and professional. Thus It must be necessity that we necessary a solution to structure, management for framework of information technology. This paper develope intrusion detecting system for separating intruders form critical system and design IDS model and implementation of it.

A Method for Detection and Classification of Normal Server Activities and Attacks Composed of Similar Connection Patterns (종단간의 유사 연결 패턴을 갖는 정상 서버 활동과 공격의 구분 및 탐지 방법)

  • Chang, Beom-Hwan
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.6
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    • pp.1315-1324
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    • 2012
  • Security visualization is a form of the data visualization techniques in the field of network security by using security-related events so that it is quickly and easily to understand network traffic flow and security situation. In particular, the security visualization that detects the abnormal situation of network visualizing connections between two endpoints is a novel approach to detect unknown attack patterns and to reduce monitoring overhead in packets monitoring technique. However, the session-based visualization doesn't notice a difference between normal traffic and attacks that they are composed of similar connection pattern. Therefore, in this paper, we propose an efficient session-based visualization method for analyzing and detecting between normal server activities and attacks by using the IP address splitting and port attributes analysis. The proposed method can actually be used to detect and analyze the network security with the existing security tools because there is no dependence on other security monitoring methods. And also, it is helpful for network administrator to rapidly analyze the security status of managed network.

iVisher: Real-Time Detection of Caller ID Spoofing

  • Song, Jaeseung;Kim, Hyoungshick;Gkelias, Athanasios
    • ETRI Journal
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    • v.36 no.5
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    • pp.865-875
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    • 2014
  • Voice phishing (vishing) uses social engineering, based on people's trust in telephone services, to trick people into divulging financial data or transferring money to a scammer. In a vishing attack, a scammer often modifies the telephone number that appears on the victim's phone to mislead the victim into believing that the phone call is coming from a trusted source, since people typically judge a caller's legitimacy by the displayed phone number. We propose a system named iVisher for detecting a concealed incoming number (that is, caller ID) in Session Initiation Protocol-based Voice-over-Internet Protocol initiated phone calls. Our results demonstrate that iVisher is capable of detecting a concealed caller ID without significantly impacting upon the overall call setup time.