• Title/Summary/Keyword: DoS Attack

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A Study of Patient's Privacy Protection in U-Healthcare (유헬스케어에서 환자의 프라이버시 보호 방안 연구)

  • Jeong, Yoon-Su;Lee, Sang-Ho
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.4
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    • pp.913-921
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    • 2012
  • On the strength of the rapid development and propagation of U-healthcare service, the service technologies are full of important changes. However, U-healthcare service has security problem that patient's biometric information can be easily exposed to the third party without service users' consent. This paper proposes a distributed model according authority and access level of hospital officials in order to safely access patients' private information in u-Healthcare Environment. Proposed model can both limit the access to patients' biometric information and keep safe system from DoS attack using time stamp. Also, it can prevent patients' data spill and privacy intrusion because the main server simultaneously controls hospital officials and the access by the access range of officials from each hospital.

Design and Implementation of Secure-NIC System for DDoS Attack Response (분산 서비스 거부 공격 대응을 위한 Secure-NIC 시스템 설계 및 구현)

  • Kim, Byoungkoo;Kim, Daewon;Oh, Jin-tae;Jang, Jong-soo;Kim, Ikkyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.996-998
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    • 2011
  • 인터넷의 발전과 더불어 네트워크 상에서의 침입 시도가 갈수록 증가되고 다변화되고 있으며, 특히, 네트워크나 서버의 가용성을 위협하는 형태의 서비스 거부(DoS: Denial of Servie) 공격이 최근 급증하고 있다. 따라서, 본 논문에서는 인터넷 서버의 정상적인 서비스 제공을 방해하는 형태의 분산 서비스 거부(DDoS: Distributed Denial of Service) 공격으로부터 서버를 보호하고 원활한 서비스를 제공하기 위한 Secure-NIC 시스템의 설계 및 구현에 대해서 설명한다. 이는 "CISGDP : CPU-Independent Service Guaranteed DDoS Protection" 이라는 설계 개념하에서, 각종 인터넷 서버에 장착되어 DDoS 공격 등의 네트워크 공격에 대하여 서버의 고유 서비스가 지속적으로 보장될 수 있도록 자체 보안 기능을 NIC(Network Interface Card) 형태로 제공한다.

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.

Analysis on Security Vulnerabilities of a Biometric-based User Authentication Scheme for Wireless Sensor Networks (무선 센서 네트워크를 위한 생체 정보 기반 사용자 인증 스킴의 보안 취약점 분석)

  • Joo, Young-Do
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.1
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    • pp.147-153
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    • 2014
  • The numerous improved schemes of remote user authentication based on password have been proposed in order to overcome the security weakness in user authentication process. Recently, some of biometric-based user authentication schemes to use personal biometric information have been introduced and they have shown the relatively higher security and the enhanced convenience as compared to traditional password-based schemes. These days wireless sensor network is a fundamental technology in face of the ubiquitous era. The wireless sensor networks to collect and process the data from sensor nodes in increasing high-tech applications require important security issues to prevent the data access from the unauthorized person. Accordingly, the research to apply to the user authentication to the wireless sensor networks has been under the progress. In 2010, Yuan et al. proposed a biometric-based user authentication scheme to be applicable for wireless sensor networks. Yuan et al. claimed that their scheme is effectively secure against the various security flaws including the stolen verifier attack. In this paper, author will prove that Yuan et al.'s scheme is still vulnerable to the password guessing attack, user impersonation attack and the replay attack, by analyzing their security weakness.

Study on the Host-based Detection for DoS Attack using the Decision Tree Method (의사결정트리를 이용한 효과적이 호스트 기반의 서비스 거부 공격 탐지에 관한 연구)

  • Sun-Jeong Doo;Hyun-Jin Hwang;Jae-Ik Cho;Nak-Hoon Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.11a
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    • pp.1571-1574
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    • 2008
  • 서비스 거부 공격은 현재의 서비스를 불법적으로 중단시켜 여러 사용자의 접근을 제한하는 공격 방법이다. 이러한 서비스 거부 공격 탐지 기법에 관한 연구가 활발히 진행되어 왔지만 기존의 네트워크 기반의 공격 탐지 기법은 많은 문제점을 낳고 있다. 따라서 본 논문에서는 기존의 탐지기법의 취약점을 보완하기 위해 호스트기반의 데이터를 이용해 더 효과적으로 서비스 거부 공격을 탐지할 수 있는 방법을 제안한다.

Machine Learning-based Detection of DoS and DRDoS Attacks in IoT Networks

  • Yeo, Seung-Yeon;Jo, So-Young;Kim, Jiyeon
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.7
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    • pp.101-108
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    • 2022
  • We propose an intrusion detection model that detects denial-of-service(DoS) and distributed reflection denial-of-service(DRDoS) attacks, based on the empirical data of each internet of things(IoT) device by training system and network metrics that can be commonly collected from various IoT devices. First, we collect 37 system and network metrics from each IoT device considering IoT attack scenarios; further, we train them using six types of machine learning models to identify the most effective machine learning models as well as important metrics in detecting and distinguishing IoT attacks. Our experimental results show that the Random Forest model has the best performance with accuracy of over 96%, followed by the K-Nearest Neighbor model and Decision Tree model. Of the 37 metrics, we identified five types of CPU, memory, and network metrics that best imply the characteristics of the attacks in all the experimental scenarios. Furthermore, we found out that packets with higher transmission speeds than larger size packets represent the characteristics of DoS and DRDoS attacks more clearly in IoT networks.

A Study on Improvement of Mechanism for Secure Handoff in Wireless Networks (무선랜 환경에서 안전한 핸드오프를 위한 메커니즘 개선에 관한 연구)

  • Cho, Ji-Hoon;Jeon, Joon-Hyeon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.11A
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    • pp.1047-1055
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    • 2005
  • One of major characteristics in wireless LAN is terminal's frequent mobility, so it makes many overheads in the process of authentications repeatedly at each handoffs. So I propose IAPP(Inter Access Point Protocol) of IEEE 802.11f, modified context block and 4 way handshake of IEEE 802.11i, in order to implement secure and rapid handoff. The context block. I proposed, doesn't makes any communication with RADIUS server at handoff period. Therefore, it guarantee higher efficiency than existing handoff mechanisms. Also it can improve security vulnerability by padding authentication field in the context block for providing in advance against Replay and DoS(Denial of Service) attacks.

Effect of longitudinal grooves of the scallop surface on aerodynamic performance (조개 표면의 종방향 그루브가 공력성능에 미치는 영향)

  • Kim, Tae-Hun;Choi, Hae-Cheon
    • Proceedings of the KSME Conference
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    • 2008.11b
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    • pp.2419-2421
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    • 2008
  • Some of the scallops like Amesium balloti have an excellent level-swimming ability, i.e. they can swim about 20m by single level swimming with a maximum swimming velocity of about 1.6m/s in the sea. On the other hand, some species like Patinopecten yessoensis have longitudinal grooves on the upper and lower surfaces and others do not. Therefore, in the present study, we measure the lift and drag forces on a real scallop model (Patinopecten yessoensis) in a wind tunnel. Experiments are performed at the Reynolds number of 75,000 based on the maximum chord length, which is within the swimming condition of real scallop (Re = $30,000{\sim}300,000$). To see the effect of longitudinal grooves, we measure the aerodynamic forces on a scallop model by removing the grooves. With the grooves, the lift force increases at low angles of attack (${\alpha}<10^{\circ}$). The drag force increases slightly at all the attack angles considered. The lift-to-drag ratio is increased by about 10% at ${\alpha}<10^{\circ}$.

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An RFID Mutual Authentication Protocol Using One-Time Random Number (일회성 난수를 사용한 RFID 상호인증 프로토콜)

  • Oh, Se-Jin;Chung, Kyung-Ho;Yun, Tae-Jin;Abn, Kwang-Seon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.7B
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    • pp.858-867
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    • 2011
  • The RFID(Radio-Frequency IDentification) systems have many security problem such as eavesdropping, a replay attack, location tracking and DoS(Denial of Service) attacks. Because RFID systems use radio-frequency. So research are being made to solve the problem of RFID systems, one of which is AES algorithm. This paper presents an authentication protocol using AES and one-time random number to secure other attacks like eavesdropping, a replay attack, location tracking, In addtion, RSMAP uses OTP(One-Time Pad) in order to safely transmit.

Bi-LSTM VAE based Intrusion Detection System for In-Vehicle CAN (Bi-LSTM VAE 기반 차량 CAN 침입 탐지 시스템)

  • Kim, Yong-Su;Kang, Hyo-Eun;Kim, Ho-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.05a
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    • pp.531-534
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    • 2022
  • 승차 공유, 카풀, 렌터카의 이용률이 증가하면서 많은 사용자가 동일한 차량에 로컬 액세스 할 수 있는 시나리오가 더욱 보편화됨에 따라 차량 네트워크에 대한 공격 가능성이 커지고 있다. 차량용 CAN Bus Network에 대한 DoS(Denial of Service), Fuzzy Attack 및 Replay Attack과 같은 공격은 일부 ECU(Electronic Controller Unit) 비활성 및 작동 불능 상태를 유발한다. 에어백, 제동 시스템과 같은 필수 시스템이 작동 불가 상태가 되어 운전자에게 치명적인 결과를 초래할 수 있다. 차량 네트워크 침입 탐지를 위하여 많은 연구가 진행되고 있으나, 기존 화이트리스트를 이용한 탐지 방법은 새로운 유형의 공격이 발생하거나 희소성이 높은 공격일 때 탐지하기 어렵다. 본 논문에서는 인공신경망 기반의 CAN 버스 네트워크 침입 탐지 기법을 제안한다. 제안하는 침입 탐지 기법은 2단계로 나누어 진다. 1단계에서 정상 패킷 분포를 학습한 VAE 모형이 이상 탐지를 수행한다. 이상 패킷으로 판정될 경우, 2단계에서 인코더로부터 추출된 잠재변수와 VAE의 재구성 오차를 이용하여 공격 유형을 분류한다. 분류 결과의 신뢰점수(Confidence score)가 임계치보다 낮을 경우 학습하지 않은 공격으로 판단한다. 본 연구 결과물은 정보보호 연구·개발 데이터 첼린지 2019 대회의 차량 이상징후 탐지 트랙에서 제공하는 정상 및 3종의 차량 공격시도 패킷 데이터를 대상으로 성능을 평가하였다. 실험을 통해 자동차 제조사의 규칙이나 정책을 사전에 정의하지 않더라도 낮은 오탐율로 비정상 패킷을 탐지해 낼 수 있음을 확인할 수 있다.