• Title/Summary/Keyword: network worm

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Advanced protocol against MITM attacks in Industrial Control System (산업제어시스템에서의 MITM 공격을 방어하기 위해 개선된 프로토콜)

  • Ko, Moo-seong;Oh, Sang-kyo;Lee, Kyung-ho
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.6
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    • pp.1455-1463
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    • 2015
  • If the industrial control system is infected by malicious worm such as Stuxnet, national disaster could be caused inevitably. Therefore, most of the industrial control system defence is focused on intrusion detection in network to protect against these threats. Conventional method is effective to monitor network traffic and detect anomalous patterns, but normal traffic pattern attacks using MITM technique are difficult to be detected. This study analyzes the PROFINET/DCP protocol and weaknesses with the data collected in real industrial control system. And add the authentication data field to secure the protocol, find out the applicability. Improved protocol may prevent the national disaster and defend against MITM attacks.

A Design of SWAD-KNH Scheme for Sensor Network Security (센서 네트워크 보안을 위한 SWAD-KNH 기법 설계)

  • Jeong, Eun-Hee;Lee, Byung-Kwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.6
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    • pp.1462-1470
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    • 2013
  • This paper proposes an SWAD-KNH(Sybil & Wormhole Attack Detection using Key, Neighbor list and Hop count) technique which consists of an SWAD(Sybil & Wormhole Attack Detection) module detecting an Worm attack and a KGDC(Key Generation and Distribution based on Cluster) module generating and an sense node key and a Group key by the cluster and distributing them. The KGDC module generates a group key and an sense node key by using an ECDH algorithm, a hash function, and a key-chain technique and distributes them safely. An SWAD module strengthens the detection of an Sybil attack by accomplishing 2-step key acknowledgement procedure and detects a Wormhole attack by using the number of the common neighbor nodes and hop counts of an source and destination node. As the result of the SWAD-KNH technique shows an Sybil attack detection rate is 91.2% and its average FPR 3.82%, a Wormhole attack detection rate is 90%, and its average FPR 4.64%, Sybil and wormhole attack detection rate and its reliability are improved.

The Authentication Model which Utilized Tokenless OTP (Tokenless OTP를 활용한 인증 모델)

  • Kim, Ki-Hwan;Park, Dea-Woo
    • KSCI Review
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    • v.14 no.2
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    • pp.205-214
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    • 2006
  • Is need Remote Access through internet for business of Ubiquitous Computing age, and apply OTP for confidentiality about inputed ID and Password, network security of integrity. Current OTP must be possessing hardware or Token, and there is limitation in security. Install a Snooping tool to OTP network in this treatise, and because using Cain, enforce ARP Cache Poisoning attack and confirm limitation by Snooping about user password. Wish to propose new system that can apply Tokenless OTP by new security way, and secure confidentiality and integrity. Do test for access control inflecting Tokenless OTP at Remote Access from outside. and could worm and do interface control with certification system in hundred. Even if encounter hacking at certification process, thing that connection is impossible without pin number that only user knows confirmed. Because becoming defense about outward flow and misuse and hacking of password when apply this result Tokenless OTP, solidify security, and evaluated by security system that heighten safety.

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Traffic Anomaly Identification Using Multi-Class Support Vector Machine (다중 클래스 SVM을 이용한 트래픽의 이상패턴 검출)

  • Park, Young-Jae;Kim, Gye-Young;Jang, Seok-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.4
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    • pp.1942-1950
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    • 2013
  • This paper suggests a new method of detecting attacks of network traffic by visualizing original traffic data and applying multi-class SVM (support vector machine). The proposed method first generates 2D images from IP and ports of transmitters and receivers, and extracts linear patterns and high intensity values from the images, representing traffic attacks. It then obtains variance of ports of transmitters and receivers and extracts the number of clusters and entropy features using ISODATA algorithm. Finally, it determines through multi-class SVM if the traffic data contain DDoS, DoS, Internet worm, or port scans. Experimental results show that the suggested multi-class SVM-based algorithm can more effectively detect network traffic attacks.

Queueing Model for Traffic Loading Improvement of DDoS Attacks in Enterprise Networks (엔터프라이즈 네트워크에서 DDoS 공격의 부하 개선을 위한 큐잉 모델)

  • Ha, Hyeon-Tae;Lee, Hae-Dong;Baek, Hyun-Chul;Kim, Sang-Bok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.1
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    • pp.107-114
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    • 2011
  • Today the company adopts to use information management method at the network base such as internet, intranet and so on for the speed of business. Therefore the security of information asset protection and continuity of business within company in relation to this is directly connected to the credibility of the company. This paper secures continuity to the certified users using queuing model for the business interruption issue caused by DDoS attack which is faced seriously today. To do this I have reflected overloaded traffic improvement process to the queuing model through the analysis of related traffic information and packet when there occurs DDoS attack with worm/virus. And through experiment I compared and analyzed traffic loading improvement for general network equipment.

The Authentication Model which Utilized Tokenless OTP (Tokenless OTP를 활용한 인증 모델)

  • Kim, Ki-Hwan;Park, Dea-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.1 s.45
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    • pp.107-116
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    • 2007
  • Is need Remote Access through internet for business of Ubiquitous Computing age, and apply OTP for confidentiality about inputed ID and Password, network security of integrity. Current OTP must be possessing hardware of Token, and there is limitation in security. Install a Snooping tool to OTP network in this treatise, and because using Cain, enforce ARP Cache poisoning attack and confirm limitation by Snooping about user password. Wish to propose new system that can apply Tokenless OTP by new security way, and secure confidentiality and integrity. Do test for access control inflecting Tokenless OTP at Remote Access from outside, and could worm and do interface control with certification system in hundred. Even if encounter hacking at certification process, thing that connection is impossible without pin number that only user knows confirmed. Because becoming defense about outward flow and misuse and hacking of password when apply this result Tokenless OTP, solidify security, and evaluated by security system that heighten safety.

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Design of a Security System to Defeat Abnormal IPSec Traffic in IPv6 Networks (IPv6 환경에서 비정상 IPSec 트래픽 대응 보안 시스템 설계)

  • Kim Ka-Eul;Ko Kwang-Sun;Gyeong Gye-Hyeon;Kang Seong-Goo;Eom Young-Ik
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.16 no.4
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    • pp.127-138
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    • 2006
  • The IPSec is a basic security mechanism of the IPv6 protocol, which can guarantee an integrity and confidentiality of data that transmit between two corresponding hosts. Also, both data and communication subjects can be authenticated using the IPSec mechanism. However, it is difficult that the IPSec mechanism protects major important network from attacks which transmit mass abnormal IPSec traffic in session-configuration or communication phases. In this paper, we present a design of the security system that can effectively detect and defeat abnormal IPSec traffic, which is encrypted by the ESP extension header, using the IPSec Session and Configuration table without any decryption. This security system is closely based on a multi-tier attack mitigation mechanism which is based on network bandwidth management and aims to counteract DDoS attacks and DoS effects of worm activity.

Performance Analysis of TCAM-based Jumping Window Algorithm for Snort 2.9.0 (Snort 2.9.0 환경을 위한 TCAM 기반 점핑 윈도우 알고리즘의 성능 분석)

  • Lee, Sung-Yun;Ryu, Ki-Yeol
    • Journal of Internet Computing and Services
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    • v.13 no.2
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    • pp.41-49
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    • 2012
  • Wireless network support and extended mobile network environment with exponential growth of smart phone users allow us to utilize the network anytime or anywhere. Malicious attacks such as distributed DOS, internet worm, e-mail virus and so on through high-speed networks increase and the number of patterns is dramatically increasing accordingly by increasing network traffic due to this internet technology development. To detect the patterns in intrusion detection systems, an existing research proposed an efficient algorithm called the jumping window algorithm and analyzed approximately 2,000 patterns in Snort 2.1.0, the most famous intrusion detection system. using the algorithm. However, it is inappropriate from the number of TCAM lookups and TCAM memory efficiency to use the result proposed in the research in current environment (Snort 2.9.0) that has longer patterns and a lot of patterns because the jumping window algorithm is affected by the number of patterns and pattern length. In this paper, we simulate the number of TCAM lookups and the required TCAM size in the jumping window with approximately 8,100 patterns from Snort-2.9.0 rules, and then analyse the simulation result. While Snort 2.1.0 requires 16-byte window and 9Mb TCAM size to show the most effective performance as proposed in the previous research, in this paper we suggest 16-byte window and 4 18Mb-TCAMs which are cascaded in Snort 2.9.0 environment.

The Design and Implementation of High Performance Intrusion Prevention Algorithm based on Signature Hashing (시그너처 해싱 기반 고성능 침입방지 알고리즘 설계 및 구현)

  • Wang, Jeong-Seok;Jung, Yun-Jae;Kwon, H-Uing;Chung, Kyu-Sik;Kwak, Hu-Keun
    • The KIPS Transactions:PartC
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    • v.14C no.3 s.113
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    • pp.209-220
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    • 2007
  • IPS(Intrusion Prevention Systems), which is installed in inline mode in a network, protects network from outside attacks by inspecting the incoming/outgoing packets and sessions, and dropping the packet or closing the sessions if an attack is detected in the packet. In the signature based filtering, the payload of a packet passing through IPS is matched with some attack patterns called signatures and dropped if matched. As the number of signatures increases, the time required for the pattern matching for a packet increases accordingly so that it becomes difficult to develop a high performance US working without packet delay. In this paper, we propose a high performance IPS based on signature hashing to make the pattern matching time independent of the number of signatures. We implemented the proposed scheme in a Linux kernel module in a PC and tested it using worm generator, packet generator and network performance measure instrument called smart bit. Experimental results show that the performance of existing method is degraded as the number of signatures increases whereas the performance of the proposed scheme is not degraded.

Study of Methodologies for New Vulnerability Checking Module Development Proper to User Level (수준별 신규 취약점 점검 모듈 개발 방법론)

  • Paek, Seung-Hyun;Oh, Hyung-Geun;Lee, Do-Hoon
    • Convergence Security Journal
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    • v.6 no.4
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    • pp.29-40
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    • 2006
  • Recent trends for cyber threat such as worm and virus exploit vulnerabilities inherent to main information communication infrastructures like the internet to achieve economical and political goals. It needs to develop checking programs for new vulnerabilities published in prompt and apply them to vulnerable systems for the defense of those cyber threats. In this paper, we study of methodologies for new vulnerability checking module development proper to user level. First, we analyze current 7 methodologies for the development of new vulnerability checking modules including GFI LANGuard and Nessus and then compare them. Second, We define and propose the 5 unique methodologies for the development of new vulnerability checking modules in depth. Finally, we induct the best methodology proper to a certain user level by assessing each methodology according to conditions which is set virtually.

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