• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.165-171
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• 2018

The most threatening attack that has become a hot topic of recent IT security is APT Attack.. So far, there is no way to respond to APT attacks except by using artificial intelligence techniques. Here, we have implemented a machine learning algorithm for analyzing cyber threat data using machine learning method, using a data set that collects cyber attack cases using Scikit Learn, a big data machine learning framework. The result showed an attack classification accuracy close to 70%. This result can be developed into the algorithm of the security control system in the future.

• Convergence Security Journal
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• v.23 no.4
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• pp.33-41
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• 2023

In recent years, advanced persistent threat (APT) attack organizations have exploited various vulnerabilities and attack techniques to target companies and institutions with national core technologies, distributing ransomware and demanding payment, stealing nationally important industrial secrets and distributing them on the black market (dark web), selling them to third countries, or using them to close the technology gap, requiring national-level security preparations. In this paper, we analyze the attack methods of attack organizations such as Kimsuky and Lazarus that caused industrial secrets leakage damage through APT attacks in Korea using the MITRE ATT&CK framework, and derive 26 cybersecurity-related administrative, physical, and technical security requirements that a company's security system should be equipped with. We also proposed a security framework and system configuration plan to utilize the security requirements in actual field. The security requirements presented in this paper provide practical methods and frameworks for security system developers and operators to utilize in security work to prevent leakage of corporate industrial secrets. In the future, it is necessary to analyze the advanced and intelligent attacks of various APT attack groups based on this paper and further research on related security measures.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.5
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• pp.841-850
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• 2015

XaaS (Everything as a Service) provides re-usable, fine-grained software components like software, platform, infra across a network. Then users usually pay a fee to get access to the software components. It is a subset of cloud computing. Since XaaS is provided by centralized service providers, it can be a target of various security attacks. Specially, if XaaS becomes the target of APT (Advanced Persistent Threat) attack, many users utilizing XaaS as well as XaaS system can be exposed to serious danger. So various solutions against APT attack are proposed. However, they do not consider all aspects of security control, synthetically. In this paper, we propose overall security checkup considering technical aspect and policy aspect to securely operate XaaS.

• Review of KIISC
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• v.26 no.1
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• pp.92-98
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• 2016

IT기술이 발달함에 따라서 데이터는 대량화, 다양화 되었다. 그에 따라서 이를 침해하려는 다양한 공격기술들이 등장하고 있다. 특히, 지능형 타깃 지속 공격이라는 APT(Advanced Persistent Threat) 공격은 날로 발전하고 있다. APT공격 중에서도 특히 은닉형 악성코드를 이용한 공격들이 많이 등장하고 있다. 은닉형 악성코드는 사용자가 인식하지 못하도록 보안시스템을 우회하고, 중요 데이터의 수집 및 유출을 위하여 교묘하게 시스템에 숨어들어 악의적인 행위를 하는 형태의 악성코드를 말한다. 이러한 고도화된 악의적인 행위를 하는 악성코드를 탐지하고, 대응하기 위한 기술들은 아직까지 부족한 것이 현실이다. 본 논문에서 대표적인 은닉형 악성코드와 공격사례를 분석하여 이를 대응할 수 있는 방안을 고찰해본다. 또한 이를 통하여 고도화된 공격기술들에 대해 예방하고 대응하는 자료로 활용 가능하다.

• Journal of Digital Contents Society
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• v.19 no.2
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• pp.327-334
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• 2018

When a PC is infected with a malicious code, it communicates with the control and command (C&C) server and, by the attacker's instructions, spreads to the internal network and acquires information. The company focuses on preventing attacks from the outside in advance, but malicious codes aiming at APT attacks are infiltrated into the inside somehow. In order to prevent the spread of the damage, it is necessary to perform internal monitoring to detect a PC that is infected with malicious code and attempts to communicate with the C&C server. In this paper, a destination IP monitoring method is proposed in this paper using Bloom filter to quickly and effectively check whether the destination IP of many packets is in the blacklist.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.3
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• pp.491-498
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• 2014

Recently, cyber terror has been occurred frequently based on advanced persistent threat(APT) and it is very difficult to detect these attacks because of new malwares which cannot be detected by anti-virus softwares. This paper proposes and verifies the algorithms to detect the advanced persistent threat previously through real-time network monitoring and combinatorial analysis of big data log. In the future, APT attacks can be detected more easily by enhancing these algorithms and adapting big data platform.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.5
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• pp.1141-1151
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• 2018

In an APT attack, the communication stage between infected hosts and C&C(Command and Control) server is the key stage for intrusion into the attack target. Attackers can control multiple infected hosts by the C&C Server and direct intrusion and exploitation. If the C&C Server is exposed at this stage, the attack will fail. Therefore, in recent years, the Domain Generation Algorithm (DGA) has replaced DNS in C&C Server with a short time interval for making detection difficult. In particular, it is very difficult to verify and detect all the newly registered DNS more than 5 million times a day. To solve these problems, this paper proposes a model to judge DGA-DNS detection by the morphological similarity analysis of normal DNS and DGA-DNS, and to determine the sign of APT attack through it, then we verify its validity.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.12
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• pp.2753-2762
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• 2013

Recently the paradigm of cyber attacks is changing due to the information security technology improvement. The cyber attack that uses the social engineering and targets the end users has been increasing as the organization's systems and networks security controls have been tightened. The 91% of APT(Advanced Persistent Threat) which targets an enterprise or a government agency to get the important data and disable the critical service starts with the spear phishing email. In this paper, we analysed the security threats and characteristics of the spear phishing in detail and explained why the technical solutions are not enough to prevent spear phishing attacks. Therefore, we proposed the administrative prevention methods for the spear phishing attack.

• Convergence Security Journal
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• v.20 no.4
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• pp.91-101
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• 2020

We analyzed APT attack cases that occurred overseas in the past using a cyber kill chain model and a TTP model. As a result of the analysis, we found that the cyber kill chain model is effective in figuring out the overall outline, but is not suitable for establishing a specific defense strategy, however, TTP model is suitable to have a practical defense system. Based on these analysis results, it is suggested that defense technology development which is based on TTP model to build defense-in-depth system for preparing cyber attacks.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.937-939
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• 2014

Recently, an intelligent APT(Advanced Persistent Threat) attack which aims to a special target is getting to be greatly increased. It is very hard to protect with existing intrusion detection methods because of the difficulties to protect the initial intrusion of malicious code. In this paper, we analyze out-bound traffics to prevent call-back step after malicious code intrusion, and propose an APT malicious traffic detection method with considering of trust. The proposed method is expected to provide a basement to improve the detection rate in comparing with that of existing detection methods.