• Title/Summary/Keyword: Attack time

Search Result 1,139, Processing Time 0.028 seconds

Failure of Ammonia Synthesis Converter Due to Hydrogen Attack and Its On-Stream Assessment Using ToFD Method

  • Albiruni, Farabirazy;Lee, Joon-Hyun
    • Proceedings of the KSME Conference
    • /
    • 2008.11a
    • /
    • pp.132-137
    • /
    • 2008
  • A failure analysis of ammonia converter which suffered hydrogen attack in two years since its initial operating time was presented. It is constructed from 2.25 Cr.1 Mo steel. Analysis showed that the failure on closing seam weld joint was due to local improper post weld heat treatment (PWHT). Improper PWHT can introduce high residual stresses in thick-walled pressure vessel. High residual stress level in weld joint is very prone to hydrogen attack for any components which are operating in hydrogen gas environment. The repair procedures based on the principle to decrease the residual stress then proposed. The repair was controlled very carefully by applying several nondestructive tests in the each stage of repair. To assure the successful of the proposed repair, after one year since repair time, high temperature ultrasonic and TOFD methods were applied on-stream to this equipment in order to evaluate its post repair condition. The two methods showed good results on the repaired area.

  • PDF

The Study of Prediction Method of Cavity Shape Considering Both Gravity Effect and Angle of Attack of Cavitator (중력효과 및 캐비테이터 받음각 고려 공동 형상 예측기법 연구)

  • Kim, Minjae;Yi, Jongju;Kim, Sunbum
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • v.21 no.2
    • /
    • pp.180-187
    • /
    • 2018
  • In this study, we develop a prediction method of cavity shape taking gravity effect and angle of attack of cavitator into consideration simultaneously. Logvinovich's theoretical formulas are superimposed to predict the change of cavity centerline due to both gravity effect and angle of attack of cavitator. It is found that as the angle of attack of cavitator increases, the gravity effect is weakened due to decrease in cavity volume, and even in case of the same angle of attack, cavity shape changes in different ways depending on whether the angle of attack of cavitator is positive or negative. We conclude that cavity shapes are largely affected by the angle of attack of cavitator, and the gravity effect and angle of attack of cavitator should be considered at the same time for the prediction of cavity shape.

Design of RFID Mutual Authentication Protocol for Mobile RFID (모바일 RFID를 위한 보안 RFID 상호인증 프로토콜 설계)

  • Lee, Seung-Min;Kim, Eun-Hwan;Jun, Moon-Seog
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.35 no.2B
    • /
    • pp.183-190
    • /
    • 2010
  • Recently, there is still vulnerability of attack, such as location tracking attack, replay attack, spoofing attack etc for all that is much research for Mobile RFID authentication. This paper designed method of making one time random number in DB server side unlike previously researched protocols, and it protects RFID communication from location tracking, replay attack and spoofing attack.

Algorithms for Fire Sequencing Problem in Unplanned Artillery Attack Operation (포병부대 비계획 사격순서 결정 알고리즘)

  • Choi, Yong-Baek;Kim, Kyung-Sup
    • Journal of Korean Society of Industrial and Systems Engineering
    • /
    • v.35 no.2
    • /
    • pp.37-44
    • /
    • 2012
  • This paper focuses on scheduling problems arising in the military. In planned artillery attack operations, a large number of threatening enemy targets should be destroyed to minimize fatal loss to the friendly forces. We consider a situation in which the number of available weapons is smaller than the number of targets. Therefore it is required to develop a new sequencing algorithm for the unplanned artillery attack operation. The objective is to minimize the total loss to the friendly forces from the targets, which is expressed as a function of the fire power potential, after artillery attack operations are finished. We develop an algorithm considering the fire power potential and the time required to destroy the targets. The algorithms suggested in this paper can be used in real artillery attack operations if they are modified slightly to cope with the practical situations.

Protecting Deregistration Attack in SIP Using Delayed Deregistration (지연된 등록 취소를 이용한 SIP 등록 취소 공격 방어)

  • Kwon, Kyung-Hee
    • The Journal of the Korea Contents Association
    • /
    • v.15 no.12
    • /
    • pp.18-23
    • /
    • 2015
  • This paper proposes a new protection technique against deregistration attack in SIP. Although it is caused by simple spoofing the REGISTER message of a legitimate SIP UA, its impact is serious. This new protection technique identifies and protects the deregistration attack by removing a binding form the location server after delaying a certain period of time instead of removing the binding immediately after receiving deregistration message. Therefore, this technique makes it possible to establish a secure SIP environment defending the deregistraion attack without any additional overhead such as an encryption or authentication.

The Study of Hierarchical Intrusion Detection Based on Rules for MANET (MANET에서 규칙을 기반으로 한 계층형 침입 탐지에 관한 연구)

  • Jung, Hye Won
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.6 no.4
    • /
    • pp.153-160
    • /
    • 2010
  • MANET composed mobile nodes without central concentration control like base station communicate through multi-hop route among nodes. Accordingly, it is hard to maintain stability of network because topology of network change at any time owing to movement of mobile nodes. MANET has security problems because of node mobility and needs intrusion detection system that can detect attack of malicious nodes. Therefore, system is protected from malicious attack of intruder in this environment and it has to correspond to attack immediately. In this paper, we propose intrusion detection system based on rules in order to more accurate intrusion detection. Cluster head perform role of monitor node to raise monitor efficiency of packet. In order to evaluate performance of proposed method, we used jamming attack, selective forwarding attack, repetition attack.

CNN Based Real-Time DNS DDoS Attack Detection System (CNN 기반의 실시간 DNS DDoS 공격 탐지 시스템)

  • Seo, In Hyuk;Lee, Ki-Taek;Yu, Jinhyun;Kim, Seungjoo
    • KIPS Transactions on Computer and Communication Systems
    • /
    • v.6 no.3
    • /
    • pp.135-142
    • /
    • 2017
  • DDoS (Distributed Denial of Service) exhausts the target server's resources using the large number of zombie pc, As a result normal users don't access to server. DDoS Attacks steadly increase by many attacker, and almost target of the attack is critical system such as IT Service Provider, Government Agency, Financial Institution. In this paper, We will introduce the CNN (Convolutional Neural Network) of deep learning based real-time detection system for DNS amplification Attack (DNS DDoS Attack). We use the dataset which is mixed with collected data in the real environment in order to overcome existing research limits that use only the data collected in the experiment environment. Also, we build a deep learning model based on Convolutional Neural Network (CNN) that is used in pattern recognition.

Analysis of the Lee-Chen's One-Time Password Authentication Scheme (Lee와 Chen의 일회용 비밀번호 인증기법 분석)

  • You, Il-Sun;Kim, Bo-Nam;Kim, Heung-Jun
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.13 no.2
    • /
    • pp.285-292
    • /
    • 2009
  • In 2005, Lee and Chen suggested an enhanced one-time password authentication scheme which can prevent the stolen verifier attack that the Yeh-Shen-Whang's scheme has. The Lee-Chen's scheme addresses the stolen verifier attack by deriving each user's pre-shared secret SEED from the server secret. However, we investigated the weakness of the Lee-Chen's scheme and found out that it was suffering from the off-line dictionary attack on the server secret. We demonstrated that the off-line dictionary attack on the server secret can be easily tackled with only the help of the Hardware Security Modules (HSM). Moreover, we improved the scheme not to be weak to the denial of service attack and allow compromise of the past session keys even though the current password is stolen. Through the comparison between the Lee-Chen's scheme and the proposed one, we showed that the proposed one is stronger than other.

Semi-supervised based Unknown Attack Detection in EDR Environment

  • Hwang, Chanwoong;Kim, Doyeon;Lee, Taejin
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.14 no.12
    • /
    • pp.4909-4926
    • /
    • 2020
  • Cyberattacks penetrate the server and perform various malicious acts such as stealing confidential information, destroying systems, and exposing personal information. To achieve this, attackers perform various malicious actions by infecting endpoints and accessing the internal network. However, the current countermeasures are only anti-viruses that operate in a signature or pattern manner, allowing initial unknown attacks. Endpoint Detection and Response (EDR) technology is focused on providing visibility, and strong countermeasures are lacking. If you fail to respond to the initial attack, it is difficult to respond additionally because malicious behavior like Advanced Persistent Threat (APT) attack does not occur immediately, but occurs over a long period of time. In this paper, we propose a technique that detects an unknown attack using an event log without prior knowledge, although the initial response failed with anti-virus. The proposed technology uses a combination of AutoEncoder and 1D CNN (1-Dimention Convolutional Neural Network) based on semi-supervised learning. The experiment trained a dataset collected over a month in a real-world commercial endpoint environment, and tested the data collected over the next month. As a result of the experiment, 37 unknown attacks were detected in the event log collected for one month in the actual commercial endpoint environment, and 26 of them were verified as malicious through VirusTotal (VT). In the future, it is expected that the proposed model will be applied to EDR technology to form a secure endpoint environment and reduce time and labor costs to effectively detect unknown attacks.

Elliptic Curve Signcryption Based Security Protocol for RFID

  • Singh, Anuj Kumar;Patro, B.D.K.
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.14 no.1
    • /
    • pp.344-365
    • /
    • 2020
  • Providing security has been always on priority in all areas of computing and communication, and for the systems that are low on computing power, implementing appropriate and efficient security mechanism has been a continuous challenge for the researchers. Radio Frequency Identification (RFID) system is such an environment, which requires the design and implementation of efficient security mechanism. Earlier, the security protocols for RFID based on hash functions and symmetric key cryptography have been proposed. But, due to high strength and requirement of less key size in elliptic curve cryptography, the focus of researchers has been on designing efficient security protocol for RFID based on elliptic curves. In this paper, an efficient elliptic curve signcryption based security protocol for RFID has been proposed, which provides mutual authentication, confidentiality, non-repudiation, integrity, availability, forward security, anonymity, and scalability. Moreover, the proposed protocol successfully provides resistance from replay attack, impersonation attack, location tracking attack, de-synchronization attack, denial of service attack, man-in-the-middle attack, cloning attack, and key-compromise attack. Results have revealed that the proposed protocol is efficient than the other related protocols as it takes less computational time and storage cost, especially for the tag, making it ideal to be used for RFID systems.