• Title/Summary/Keyword: Cyber attack

Search Result 482, Processing Time 0.027 seconds

EMICS: E-mail based Malware Infected IP Collection System

  • Lee, Taejin;Kwak, Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.12 no.6
    • /
    • pp.2881-2894
    • /
    • 2018
  • Cyber attacks are increasing continuously. On average about one million malicious codes appear every day, and attacks are expanding gradually to IT convergence services (e.g. vehicles and television) and social infrastructure (nuclear energy, power, water, etc.), as well as cyberspace. Analysis of large-scale cyber incidents has revealed that most attacks are started by PCs infected with malicious code. This paper proposes a method of detecting an attack IP automatically by analyzing the characteristics of the e-mail transfer path, which cannot be manipulated by the attacker. In particular, we developed a system based on the proposed model, and operated it for more than four months, and then detected 1,750,000 attack IPs by analyzing 22,570,000 spam e-mails in a commercial environment. A detected attack IP can be used to remove spam e-mails by linking it with the cyber removal system, or to block spam e-mails by linking it with the RBL(Real-time Blocking List) system. In addition, the developed system is expected to play a positive role in preventing cyber attacks, as it can detect a large number of attack IPs when linked with the portal site.

A Study on Cyber Security Requirements of Ship Using Threat Modeling (위협 모델링을 이용한 선박 사이버보안 요구사항 연구)

  • Jo, Yong-Hyun;Cha, Young-Kyun
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.29 no.3
    • /
    • pp.657-673
    • /
    • 2019
  • As various IT and OT systems such as Electronic Chart Display and Information System and Automatic Identification System are used for ships, security elements that take into account even the ship's construction and navigation environment are required. However, cyber security research on the ship and shipbuilding ICT equipment industries is still lacking, and there is a lack of systematic methodologies through threat modeling. In this paper, the Data Flow Diagram was established in consideration of stakeholders approaching the ship system. Based on the Attack Library, which collects the security vulnerabilities and cases of ship systems, STRIDE methodologies and threat modeling using the Attack Tree are designed to identify possible threats from ships and to present ship cyber security measures.

An Architecture of a Dynamic Cyber Attack Tree: Attributes Approach (능동적인 사이버 공격 트리 설계: 애트리뷰트 접근)

  • Eom, Jung-Ho
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.21 no.3
    • /
    • pp.67-74
    • /
    • 2011
  • In this paper, we presented a dynamic cyber attack tree which can describe an attack scenario flexibly for an active cyber attack model could be detected complex and transformed attack method. An attack tree provides a formal and methodical route of describing the security safeguard on varying attacks against network system. The existent attack tree can describe attack scenario as using vertex, edge and composition. But an attack tree has the limitations to express complex and new attack due to the restriction of attack tree's attributes. We solved the limitations of the existent attack tree as adding an threat occurrence probability and 2 components of composition in the attributes. Firstly, we improved the flexibility to describe complex and transformed attack method, and reduced the ambiguity of attack sequence, as reinforcing composition. And we can identify the risk level of attack at each attack phase from child node to parent node as adding an threat occurrence probability.

Cyber kill chain strategy for hitting attacker origin (공격 원점 타격을 위한 사이버 킬체인 전략)

  • Yoo, Jae-won;Park, Dea-woo
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.21 no.11
    • /
    • pp.2199-2205
    • /
    • 2017
  • The development of modern ICT technology constitutes cyber world by using infrastructure in country and society. There is no border in cyber world. Countries around the world are carrying out cyber attacks for their own benefit. A cyber killer strategy is needed to defend cyber attacks. In order to defend the cyber attack or to determine the responsibility of attack, it is important to grasp the attacker origin point. Strategic cyber kill chains are needed to strike against the attacker origin. In this paper, we study the analysis of attacker origin. And analyze the cyber kill chain for attacker origin point strike. Study the efficient and customized cyber kill chain strategy for attacking the origin point. The cyber kill chain strategy will be a practical strategy to replace the power of nuclear and missiles with asymmetric power.

Cyber kill chain strategy for hitting attacker origin (공격 원점지 타격을 위한 사이버 킬체인 전략)

  • Yoo, Jae-won;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2017.10a
    • /
    • pp.306-309
    • /
    • 2017
  • The development of modern ICT technology constitutes cyber world by using infrastructure in country and society. There is no border in cyber world. Countries around the world are carrying out cyber attacks for their own benefit. A cyber killer strategy is needed to defend cyber attacks. In order to defend the cyber attack or to determine the responsibility of attack, it is important to grasp the attacker origin point. Strategic cyber kill chains are needed to strike against the attacker origin. In this paper, we study the analysis of attacker origin. And analyze the cyber kill chain for attacker origin point strike. Study the efficient and customized cyber kill chain strategy for attacking the origin point. The cyber kill chain strategy will be a practical strategy to replace the power of nuclear and missiles with asymmetric power.

  • PDF

Cyberattack Tracing System Operational Architecture (사이버공격 추적시스템 운용아키텍처)

  • Ahn, Jae-hong
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • v.26 no.2
    • /
    • pp.179-187
    • /
    • 2023
  • APT cyber attacks have been a problem for over a past decade, but still remain a challenge today as attackers use more sophisticated techniques and the number of objects to be protected increases. 'Cyberattack Tracing System' allows analysts to find undetected attack codes that penetrated and hid in enterprises, and to investigate their lateral movement propagation activities. The enterprise is characterized by multiple networks and mass hosts (PCs/servers). This paper presents a data processing procedure that collects event data, generates a temporally and spatially extended provenance graph and cyberattack tracing paths. In each data process procedure phases, system design considerations are suggested. With reflecting the data processing procedure and the characteristics of enterprise environment, an operational architecture for CyberAttack Tracing System is presented. The operational architecture will be lead to the detailed design of the system.

Optimization of Cyber-Attack Detection Using the Deep Learning Network

  • Duong, Lai Van
    • International Journal of Computer Science & Network Security
    • /
    • v.21 no.7
    • /
    • pp.159-168
    • /
    • 2021
  • Detecting cyber-attacks using machine learning or deep learning is being studied and applied widely in network intrusion detection systems. We noticed that the application of deep learning algorithms yielded many good results. However, because each deep learning model has different architecture and characteristics with certain advantages and disadvantages, so those deep learning models are only suitable for specific datasets or features. In this paper, in order to optimize the process of detecting cyber-attacks, we propose the idea of building a new deep learning network model based on the association and combination of individual deep learning models. In particular, based on the architecture of 2 deep learning models: Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM), we combine them into a combined deep learning network for detecting cyber-attacks based on network traffic. The experimental results in Section IV.D have demonstrated that our proposal using the CNN-LSTM deep learning model for detecting cyber-attacks based on network traffic is completely correct because the results of this model are much better than some individual deep learning models on all measures.

Strategic Decision Making Model Among Collective Intelligences Using The Game Theory in Cyber Attacks - Case study of KHNP Hacking - (사이버공격시 게임이론을 활용한 집단지성간 전략결정 모델 연구 - 한수원 해킹사건을 중심으로 -)

  • Park, Sang-min;Lee, Kyung-ho;Lim, Jong-in
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.26 no.1
    • /
    • pp.237-246
    • /
    • 2016
  • Recently various types of cyber attacks have occurred. The strategic goals & tactical means of these have evolved. Especially KHNP cyber attack was the type of hacktivism combined hack and psychological warfare. The cyber attackers have forecd the nation to participate in the cyber warfare and the government to make strategic decisions to the releases of confidential information and the threats of stopping KHNP. In this paper, we would like to study the effective strategic decision-making model utilizing the game theory and including an attack intelligence on open policy Decision framework.

Detecting Anomalies, Sabotage, and Malicious Acts in a Cyber-physical System Using Fractal Dimension Based on Higuchi's Algorithm

  • Marwan Albahar
    • International Journal of Computer Science & Network Security
    • /
    • v.23 no.4
    • /
    • pp.69-78
    • /
    • 2023
  • With the global rise of digital data, the uncontrolled quantity of data is susceptible to cyber warfare or cyber attacks. Therefore, it is necessary to improve cyber security systems. This research studies the behavior of malicious acts and uses Higuchi Fractal Dimension (HFD), which is a non-linear mathematical method to examine the intricacy of the behavior of these malicious acts and anomalies within the cyber physical system. The HFD algorithm was tested successfully using synthetic time series network data and validated on real-time network data, producing accurate results. It was found that the highest fractal dimension value was computed from the DoS attack time series data. Furthermore, the difference in the HFD values between the DoS attack data and the normal traffic data was the highest. The malicious network data and the non-malicious network data were successfully classified using the Receiver Operating Characteristics (ROC) method in conjunction with a scaling stationary index that helps to boost the ROC technique in classifying normal and malicious traffic. Hence, the suggested methodology may be utilized to rapidly detect the existence of abnormalities in traffic with the aim of further using other methods of cyber-attack detection.

A Study on Defense and Attack Model for Cyber Command Control System based Cyber Kill Chain (사이버 킬체인 기반 사이버 지휘통제체계 방어 및 공격 모델 연구)

  • Lee, Jung-Sik;Cho, Sung-Young;Oh, Heang-Rok;Han, Myung-Mook
    • Journal of Internet Computing and Services
    • /
    • v.22 no.1
    • /
    • pp.41-50
    • /
    • 2021
  • Cyber Kill Chain is derived from Kill chain of traditional military terms. Kill chain means "a continuous and cyclical process from detection to destruction of military targets requiring destruction, or dividing it into several distinct actions." The kill chain has evolved the existing operational procedures to effectively deal with time-limited emergency targets that require immediate response due to changes in location and increased risk, such as nuclear weapons and missiles. It began with the military concept of incapacitating the attacker's intended purpose by preventing it from functioning at any one stage of the process of reaching it. Thus the basic concept of the cyber kill chain is that the attack performed by a cyber attacker consists of each stage, and the cyber attacker can achieve the attack goal only when each stage is successfully performed, and from a defense point of view, each stage is detailed. It is believed that if a response procedure is prepared and responded, the chain of attacks is broken, and the attack of the attacker can be neutralized or delayed. Also, from the point of view of an attack, if a specific response procedure is prepared at each stage, the chain of attacks can be successful and the target of the attack can be neutralized. The cyber command and control system is a system that is applied to both defense and attack, and should present defensive countermeasures and offensive countermeasures to neutralize the enemy's kill chain during defense, and each step-by-step procedure to neutralize the enemy when attacking. Therefore, thist paper proposed a cyber kill chain model from the perspective of defense and attack of the cyber command and control system, and also researched and presented the threat classification/analysis/prediction framework of the cyber command and control system from the defense aspect