• Title/Summary/Keyword: Cyber attack

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A Study on Anomaly Signal Detection and Management Model using Big Data (빅데이터를 활용한 이상 징후 탐지 및 관리 모델 연구)

  • Kwon, Young-baek;Kim, In-seok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.6
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    • pp.287-294
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    • 2016
  • APT attack aimed at the interruption of information and communication facilities and important information leakage of companies. it performs an attack using zero-day vulnerabilities, social engineering base on collected information, such as IT infra, business environment, information of employee, for a long period of time. Fragmentary response to cyber threats such as malware signature detection methods can not respond to sophisticated cyber-attacks, such as APT attacks. In this paper, we propose a cyber intrusion detection model for countermeasure of APT attack by utilizing heterogeneous system log into big-data. And it also utilizes that merging pattern-based detection methods and abnormality detection method.

Hacking Detection Mechanism of Cyber Attacks Modeling (외부 해킹 탐지를 위한 사이버 공격 모델링)

  • Cheon, Yang-Ha
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.9
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    • pp.1313-1318
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    • 2013
  • In order to actively respond to cyber attacks, not only the security systems such as IDS, IPS, and Firewalls, but also ESM, a system that detects cyber attacks by analyzing various log data, are preferably deployed. However, as the attacks be come more elaborate and advanced, existing signature-based detection methods start to face their limitations. In response to that, researches upon symptom detection technology based on attack modeling by employing big-data analysis technology are actively on-going. This symptom detection technology is effective when it can accurately extract features of attacks and manipulate them to successfully execute the attack modeling. We propose the ways to extract attack features which can play a role as the basis of the modeling and detect intelligent threats by carrying out scenario-based modeling.

A Profiling Case Study to Phishing Mail Attack Group (피싱 메일 공격조직에 대한 프로파일링 사례 연구)

  • Lee, Jae-il;Lee, Yong-joon;Kwon, Hyuk-jin
    • Journal of Internet Computing and Services
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    • v.21 no.2
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    • pp.91-97
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    • 2020
  • Recently, phishing attacks targeting those involved in defense, security and unification have been on the rise. In particular, hacking attack organization Kimsuky has been engaged in activities to collect important information from public organizations through phishing attacks since 2013. In this paper, profiling analysis of phishing mail attack organization was performed. Through this process, we estimated the purpose of the attack group and suggested countermeasures.

Game Theory-Based Vulnerability Quantification Method Using Attack Tree (Attack Tree를 활용한 Game Theory 기반 보안 취약점 정량화 기법)

  • Lee, Seokcheol;Lee, Sang-Ha;Shon, Taeshik
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.27 no.2
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    • pp.259-266
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    • 2017
  • In modern society, IT technology based systems are introduced and operated in various fields such as home, industry, and finance. To ensure the safety of society, IT systems introduced throughout society should be protected from cyber attacks. Understanding and checking the current security status of the system is one of the important tasks to response effectively against cyber attacks. In this paper, we analyze limitations of Game Theory and Attack Tree methodologies used to inspect for security vulnerabilities. Based on this, we propose a security vulnerability quantification method that complements the limitations of both methodologies. This provides a more objective and systematic way to inspect for security weaknesses.

Recent advances in deep learning-based side-channel analysis

  • Jin, Sunghyun;Kim, Suhri;Kim, HeeSeok;Hong, Seokhie
    • ETRI Journal
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    • v.42 no.2
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    • pp.292-304
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    • 2020
  • As side-channel analysis and machine learning algorithms share the same objective of classifying data, numerous studies have been proposed for adapting machine learning to side-channel analysis. However, a drawback of machine learning algorithms is that their performance depends on human engineering. Therefore, recent studies in the field focus on exploiting deep learning algorithms, which can extract features automatically from data. In this study, we survey recent advances in deep learning-based side-channel analysis. In particular, we outline how deep learning is applied to side-channel analysis, based on deep learning architectures and application methods. Furthermore, we describe its properties when using different architectures and application methods. Finally, we discuss our perspective on future research directions in this field.

Kalman Filter Based Resilient Cyber-Physical System and its Application to an Autonomous Vehicle (칼만필터를 이용한 사이버 물리 시스템의 자율 복원성 확보 기법 및 자율주행차량 적용 연구)

  • Kim, Jae-Hoon;Kim, Dong-Gil;Lee, Dong-Ik
    • IEMEK Journal of Embedded Systems and Applications
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    • v.14 no.5
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    • pp.239-247
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    • 2019
  • Recently, successful attacks on cyber-physical systems have been reported. As existing network security solutions are limited in preventing the system from malicious attacks, appropriate countermeasures are required from the perspective of the control. In this paper, the cyber and physical attacks are interpreted in terms of actuator and sensor attacks. Based on the interpretation, we suggest a strategy for designing Kalman filters to secure the resilience and safety of the system. Such a strategy is implemented in details to be applied for the lateral control of autonomous driving vehicle. A set of simulation results verify the performance of the proposed Kalman filters.

Response and Threat of Home Network System in Ubiquitous Environment (유비쿼터스 환경에서의 홈네트워크 시스템 침해 위협 및 대응 방안)

  • Oh, Dae-Gyun;Jeong, Jin-Young
    • Convergence Security Journal
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    • v.5 no.4
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    • pp.27-32
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    • 2005
  • Recently The social interest regarding is coming to be high about Home Network accordong to intelligence anger of diffusions and the family home appliance machineries and tools of the superhigh speed Internet In the ubiquitous computing socioty, only neither the threat of the private life which is caused by in cyber attack will be able to increase according to the computer environment dependence degree of the individual increases in the ubiquitous computing socioty, only neither the threat of the private life which is caused by in cyber attack will be able to increase according to the computer environment dependence degree of the individual increases Beacaues of Home network is starting point to go ubiquitous computing enviorment, The Increase of Cyber attack through Internet will raise its head with the obstacle to disrupt the activation of the groove network. So there is a possibility of saying that the counter-measure preparation is urgent, In the various environment like this, It means the threat which present time than is complicated will exist. So it will analyze the Home network system environment of present time and observe the Security threat and attack type in the ubiquitous computing enviorment. So it will analyze the Home network system environment of present time and observe the Security threat and attack type in the ubiquitous computing enviorment.

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A Study about the Direction and Responsibility of the National Intelligence Agency to the Cyber Security Issues (사이버 안보에 대한 국가정보기구의 책무와 방향성에 대한 고찰)

  • Han, Hee-Won
    • Korean Security Journal
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    • no.39
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    • pp.319-353
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    • 2014
  • Cyber-based technologies are now ubiquitous around the glob and are emerging as an "instrument of power" in societies, and are becoming more available to a country's opponents, who may use it to attack, degrade, and disrupt communications and the flow of information. The globe-spanning range of cyberspace and no national borders will challenge legal systems and complicate a nation's ability to deter threats and respond to contingencies. Through cyberspace, competitive powers will target industry, academia, government, as well as the military in the air, land, maritime, and space domains of our nations. Enemies in cyberspace will include both states and non-states and will range from the unsophisticated amateur to highly trained professional hackers. In much the same way that airpower transformed the battlefield of World War II, cyberspace has fractured the physical barriers that shield a nation from attacks on its commerce and communication. Cyberthreats to the infrastructure and other assets are a growing concern to policymakers. In 2013 Cyberwarfare was, for the first time, considered a larger threat than Al Qaeda or terrorism, by many U.S. intelligence officials. The new United States military strategy makes explicit that a cyberattack is casus belli just as a traditional act of war. The Economist describes cyberspace as "the fifth domain of warfare and writes that China, Russia, Israel and North Korea. Iran are boasting of having the world's second-largest cyber-army. Entities posing a significant threat to the cybersecurity of critical infrastructure assets include cyberterrorists, cyberspies, cyberthieves, cyberwarriors, and cyberhacktivists. These malefactors may access cyber-based technologies in order to deny service, steal or manipulate data, or use a device to launch an attack against itself or another piece of equipment. However because the Internet offers near-total anonymity, it is difficult to discern the identity, the motives, and the location of an intruder. The scope and enormity of the threats are not just focused to private industry but also to the country's heavily networked critical infrastructure. There are many ongoing efforts in government and industry that focus on making computers, the Internet, and related technologies more secure. As the national intelligence institution's effort, cyber counter-intelligence is measures to identify, penetrate, or neutralize foreign operations that use cyber means as the primary tradecraft methodology, as well as foreign intelligence service collection efforts that use traditional methods to gauge cyber capabilities and intentions. However one of the hardest issues in cyber counterintelligence is the problem of "Attribution". Unlike conventional warfare, figuring out who is behind an attack can be very difficult, even though the Defense Secretary Leon Panetta has claimed that the United States has the capability to trace attacks back to their sources and hold the attackers "accountable". Considering all these cyber security problems, this paper examines closely cyber security issues through the lessons from that of U.S experience. For that purpose I review the arising cyber security issues considering changing global security environments in the 21st century and their implications to the reshaping the government system. For that purpose this study mainly deals with and emphasis the cyber security issues as one of the growing national security threats. This article also reviews what our intelligence and security Agencies should do among the transforming cyber space. At any rate, despite of all hot debates about the various legality and human rights issues derived from the cyber space and intelligence service activity, the national security should be secured. Therefore, this paper suggests that one of the most important and immediate step is to understanding the legal ideology of national security and national intelligence.

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An Intelligent Game Theoretic Model With Machine Learning For Online Cybersecurity Risk Management

  • Alharbi, Talal
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.390-399
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    • 2022
  • Cyber security and resilience are phrases that describe safeguards of ICTs (information and communication technologies) from cyber-attacks or mitigations of cyber event impacts. The sole purpose of Risk models are detections, analyses, and handling by considering all relevant perceptions of risks. The current research effort has resulted in the development of a new paradigm for safeguarding services offered online which can be utilized by both service providers and users. customers. However, rather of relying on detailed studies, this approach emphasizes task selection and execution that leads to successful risk treatment outcomes. Modelling intelligent CSGs (Cyber Security Games) using MLTs (machine learning techniques) was the focus of this research. By limiting mission risk, CSGs maximize ability of systems to operate unhindered in cyber environments. The suggested framework's main components are the Threat and Risk models. These models are tailored to meet the special characteristics of online services as well as the cyberspace environment. A risk management procedure is included in the framework. Risk scores are computed by combining probabilities of successful attacks with findings of impact models that predict cyber catastrophe consequences. To assess successful attacks, models emulating defense against threats can be used in topologies. CSGs consider widespread interconnectivity of cyber systems which forces defending all multi-step attack paths. In contrast, attackers just need one of the paths to succeed. CSGs are game-theoretic methods for identifying defense measures and reducing risks for systems and probe for maximum cyber risks using game formulations (MiniMax). To detect the impacts, the attacker player creates an attack tree for each state of the game using a modified Extreme Gradient Boosting Decision Tree (that sees numerous compromises ahead). Based on the findings, the proposed model has a high level of security for the web sources used in the experiment.

A Study on the Necessity of Establishing the National Cyber Security Act through a Comparative Legal Analysis (국내 관련 법과 비교 분석을 통한 국가사이버안보법안의 제정 필요성 연구)

  • Kim, Sung-Hyun;Lee, Chang-Moo
    • Korean Security Journal
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    • no.54
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    • pp.9-35
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    • 2018
  • During the recent years, cyber attacks have been increasing both in the private sector and the government. Those include the DDOS cases in 2009, the Blue House cyber attack, bank hackings etc. Cyber threats are becoming increasingly serious. However, there is no basic law related to cyber security at present, and regulations related to cyber security are scattered in various domestic laws. This can lead to confusion in the application of the law and difficult to grasp the regulations related to cyber security. In order to overcome this situation, the bill on the prevention and countermeasures against cyber crisis was initiated in 2006, but it has been abrogated. Since then, it has been repeatedly proposed, but it has been abrogated repeatedly due to the overlapping of existing laws and concerns about infringement of personal information. The most recent initiative was the National Cyber Security Act, which was initiated by the government in January 2017. The act focuses on resolving the absence of a basic law related to cyber security, strengthening its responsiveness in the event of a cyber security crisis, and fostering security strength. Therefore, this study seeks to contribute to the establishment of National Cyber Security legislation as a basic law of cyber security by examining the necessity of National Cyber Security legislation through comparative legal analysis with existing domestic laws related to cyber security and suggesting policy implications.