• Title/Summary/Keyword: SIEM

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A Study for Integrating ICS Security Logs with Centralized SIEM (Security Information and Event Management) using OPC Protocol (OPC 프로토콜을 활용한 제어시스템 보안로그 전송방법 고찰 및 통합 로그서버 구축방안)

  • Kim, Jaehong;Park, Yongsuk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.8
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    • pp.1205-1212
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    • 2022
  • Cyber threat targeting ICS (Industrial Control System) has indicated drastic increases over the past decade and Cyber Incident in Critical Infrastructure such as Energy, Gas Terminal and Petrochemical industries can lead to disaster-level accidents including casualties and large-scale fires. In order to effectively respond to cyber attacks targeting ICS, a multi-layered defense-in-depth strategy considering Control System Architecture is necessary. In particular, the centralized security log system integrating OT (Operational Technology) and IT (Information Technology) plays an important role in the ICS incident response plan. The paper suggests the way of implementing centralized security log system that collects security events and logs using OPC Protocol from Level 0 to Level 5 based on IEC62443 Purdue Model to integrate ICS security logs with SIEM (Security Information Event Management) operated in IT environment.

Security Log collection and analysis System Design Using Big Data System (빅 데이터 시스템을 이용한 보안 로그 수집 및 분석 시스템 설계)

  • Kim, Du-Hoe;Shin, Dong-Kyoo;Shin, Dong-Il
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.04a
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    • pp.321-323
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    • 2016
  • 최근 SNS, 클라우드 서비스, IoT 등 신기술이 발전함에 따라서 개인 정보 보호와 보안에 관심이 대두 되었다. 때문에 기업들은 고객 정보 보호를 위한 보안 솔루션 구축이 필수불가결해졌다. 이러한 기업의 니즈를 충족시키기 위해 ESM이라는 보안 관리 시스템이 등장하고 최근에는 SIEM으로 넘어가고 있는 추세이다. SIEM은 관리자가 로그들을 모니터링 하는 방식으로 많은 양의 로그가 발생하거나 축적된 로그들을 분석하는 것은 한계가 있다. 따라서 본 논문에서는 빅 데이터 시스템을 이용하여 로그들을 축적하고 머하웃을 이용하여 축적된 로그들을 분석하는 자동화 시스템을 제안한다.

통합로그관리시스템의 기술 동향과 발전 방향

  • Yu, Ki-Soon;Im, Sul-Hwa;Kim, Hak-Beom
    • Review of KIISC
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    • v.23 no.6
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    • pp.90-99
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    • 2013
  • 최근 급증하고 있는 고도화된 사이버 공격은 많은 피해를 낳고 있다. 이러한 문제를 미연에 방지하기 위해 각종 보안 솔루션의 도입으로 보안 시스템 환경이 복잡하게 변하게 되었다. 보안 관리자는 복잡한 환경으로 인해 보안 시스템 관리의 어려움으로 우수한 보안 솔루션이 있음에도 위협에 제대로 대처하지 못하고 있다. 본 논문에서는 보안시스템을 체계적으로 관리할 수 있고, IT 시스템에서 생성되는 이벤트와 로그를 통합해 늘어나고 있는 보안 위협에 적절한 대응이 가능하도록 도와주는 보안 시스템 관리 솔루션인 SIEM(Security Information and Event Management)에 대해 알아보고자 한다. 고도화되고 있는 사이버 공격과 복잡해진 클라우드 컴퓨팅, 데이터가 대량화됨에 따라 생겨난 빅데이터, 갈수록 강화되고 있는 컴플라이언스 요구사항을 만족할 수 있는 방안을 모색해봄으로써 SIEM이 앞으로 나아가야 할 방향에 대해 알아보고자 한다.

Enhancement of Internal Control by expanding Security Information Event Management System

  • Im, DongSung;Kim, Yongmin
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.8
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    • pp.35-43
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    • 2015
  • Recently, internal information leaks is increasing rapidly by internal employees and authorized outsourcing personnel. In this paper, we propose a method to integrate internal control systems like system access control system and Digital Rights Managements and so on through expansion model of SIEM(Security Information Event Management system). this model performs a analysis step of security event link type and validation process. It develops unit scenarios to react illegal acts for personal information processing system and acts to bypass the internal security system through 5W1H view. It has a feature that derives systematic integration scenarios by integrating unit scenarios. we integrated internal control systems like access control system and Digital Rights Managements and so on through expansion model of Security Information Event Management system to defend leakage of internal information and customer information. We compared existing defense system with the case of the expansion model construction. It shows that expanding SIEM was more effectively.

A Study on the Real-time Cyber Attack Intrusion Detection Method (실시간 사이버 공격 침해사고 탐지방법에 관한 연구)

  • Choi, Jae-Hyun;Lee, Hoo-Jin
    • Journal of the Korea Convergence Society
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    • v.9 no.7
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    • pp.55-62
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    • 2018
  • Recently, as the threat of cyber crime increases, the importance of security control to cope with cyber attacks on the information systems in the first place such as real-time detection is increasing. In the name of security control center, cyber terror response center and infringement response center, institutional control personnel are making efforts to prevent cyber attacks. Especially, we are detecting infringement accident by using network security equipment or utilizing control system, but it's not enough to prevent infringement accident by just controlling based on device-driven simple patterns. Therefore, the security control system is continuously being upgraded, and the development and research on the detection method are being actively carried out by the prevention activity against the threat of infringement. In this paper, we have defined the method of detecting infringement of major component module in order to improve the problem of existing infringement detection method. Through the performance tests for each module, we propose measures for effective security control and study effective infringement threat detection method by upgrading the control system using Security Information Event Management (SIEM).

Analysis of Cyber Incident Artifact Data Enrichment Mechanism for SIEM (SIEM 기반 사이버 침해사고 대응을 위한 데이터 보완 메커니즘 비교 분석)

  • Lee, Hyung-Woo
    • Journal of Internet of Things and Convergence
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    • v.8 no.5
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    • pp.1-9
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    • 2022
  • As various services are linked to IoT(Internet of Things) and portable communication terminals, cyber attacks that exploit security vulnerabilities of the devices are rapidly increasing. In particular, cyber attacks targeting heterogeneous devices in large-scale network environments through advanced persistent threat (APT) attacks are on the rise. Therefore, in order to improve the effectiveness of the response system in the event of a breach, it is necessary to apply a data enrichment mechanism for the collected artifact data to improve threat analysis and detection performance. Therefore, in this study, by analyzing the data supplementation common elements performed in the existing incident management framework for the artifacts collected for the analysis of intrusion accidents, characteristic elements applicable to the actual system were derived, and based on this, an improved accident analysis framework The prototype structure was presented and the suitability of the derived data supplementary extension elements was verified. Through this, it is expected to improve the detection performance when analyzing cyber incidents targeting artifacts collected from heterogeneous devices.

The Forecast on the Benefit of Traffic Safety Facility for the Inland Waterway in Cambodia -Focusing on the section between Phnom Penh and Chong Kneas port- (캄보디아 내륙수로의 교통안전시설에 대한 편익추정 -프롬펜과 총크니아스항 구간을 대상으로-)

  • Kim, Jung-Hoon
    • Journal of Korea Port Economic Association
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    • v.25 no.2
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    • pp.73-94
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    • 2009
  • In this paper the benefit was forecasted for traffic safety facilities to be constructed along the inland waterway between Phnom Penh and Chong Kneas(Siem Reap) port in Cambodia. First of all, the number of cruise ships passengers and cargo volumes were predicted. Second, the traffic volume of the cruise ships and cargo ships were calculated according to the prediction. Last, the safety benefit of traffic safety facilities was forecasted with the traffic after surveying the waterway accidents. The other benefit was also presented by converting the effect of relieving the emotional burden of navigators into currency value. Accordingly the entire benefit was estimated to be $14,990, $20,950 and $28,540 for pessimistic, moderate and optimistic prospects, in 2011. And then the entire benefits are calculated as $28,320, $63,060 and $95,230 for each prospect in the final estimation year 2020.

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Using Machine Learning Techniques for Accurate Attack Detection in Intrusion Detection Systems using Cyber Threat Intelligence Feeds

  • Ehtsham Irshad;Abdul Basit Siddiqui
    • International Journal of Computer Science & Network Security
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    • v.24 no.4
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    • pp.179-191
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    • 2024
  • With the advancement of modern technology, cyber-attacks are always rising. Specialized defense systems are needed to protect organizations against these threats. Malicious behavior in the network is discovered using security tools like intrusion detection systems (IDS), firewall, antimalware systems, security information and event management (SIEM). It aids in defending businesses from attacks. Delivering advance threat feeds for precise attack detection in intrusion detection systems is the role of cyber-threat intelligence (CTI) in the study is being presented. In this proposed work CTI feeds are utilized in the detection of assaults accurately in intrusion detection system. The ultimate objective is to identify the attacker behind the attack. Several data sets had been analyzed for attack detection. With the proposed study the ability to identify network attacks has improved by using machine learning algorithms. The proposed model provides 98% accuracy, 97% precision, and 96% recall respectively.

Application of Integrated Security Control of Artificial Intelligence Technology and Improvement of Cyber-Threat Response Process (인공지능 기술의 통합보안관제 적용 및 사이버침해대응 절차 개선 )

  • Ko, Kwang-Soo;Jo, In-June
    • The Journal of the Korea Contents Association
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    • v.21 no.10
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    • pp.59-66
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    • 2021
  • In this paper, an improved integrated security control procedure is newly proposed by applying artificial intelligence technology to integrated security control and unifying the existing security control and AI security control response procedures. Current cyber security control is highly dependent on the level of human ability. In other words, it is practically unreasonable to analyze various logs generated by people from different types of equipment and analyze and process all of the security events that are rapidly increasing. And, the signature-based security equipment that detects by matching a string and a pattern has insufficient functions to accurately detect advanced and advanced cyberattacks such as APT (Advanced Persistent Threat). As one way to solve these pending problems, the artificial intelligence technology of supervised and unsupervised learning is applied to the detection and analysis of cyber attacks, and through this, the analysis of logs and events that occur innumerable times is automated and intelligent through this. The level of response has been raised in the overall aspect by making it possible to predict and block the continuous occurrence of cyberattacks. And after applying AI security control technology, an improved integrated security control service model was newly proposed by integrating and solving the problem of overlapping detection of AI and SIEM into a unified breach response process(procedure).