• Journal of Advanced Navigation Technology
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• v.17 no.6
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• pp.816-822
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• 2013

In modern networks, data rate is getting faster and transferred data is extremely increased. At this point, the malicious codes are evolving to various types very fast, and the frequency of occurring new malicious code is very short. So, it is hard to collect/analyze data using general networks with the techniques like traditional intrusion detection or anormaly detection. In this paper, we collect and analyze the data more effectively with cloud environment than general simple networks. Also we analyze the malicious code which is similar to real network's malware, using botnet server/client includes DNS Spoofing attack.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.5
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• pp.973-985
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• 2021

South Korea has been guaranteed the efficiency and the convenience of administrative work based on long-term experience and well-established ICT infrastructure. Vice versa, South Korea is always exposed to various scale cyber-attacks. It is an important element of national competitiveness to secure cybersecurity resilience and response in the public sector. For this, the well-trained cybersecurity professionals' retention and support for their capacity development through retraining are critical. As the Special Act on Balanced National Development, most public agencies moved to provincial areas, but the provincial areas are not ready for this, thus the workforce can't get enough retaining courses. We study to analyze whether there is a gap in cybersecurity educational opportunities or needs in the public sector depending on regions, institution type, and personal traits. This paper aims to suggest solutions for the cybersecurity education gap in the public sector based on the empirical analysis results.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.4
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• pp.847-857
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• 2019

Recently, various cyber threats such as Ransomware and APT attack are increasing by e-mail. The characteristic of such an attack is that it is important to take administrative measures by improving personal perception of security because it bypasses technological measures such as past pattern-based detection The purpose of this study is to investigate the human factors of employees who are vulnerable to spam mail attacks through field experiments and to establish future improvement plans. As a result of sending 7times spam mails to employees of a company and analyzing training report, It was confirmed that factors such as the number of training and the recipient 's gender, age, and workplace were related to the reading rate. Based on the results of this analysis, we suggest ways to improve the training and to improve the ability of each organization to carry out effective simulation training and improve the ability to respond to spam mail by awareness improvement.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.108-116
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• 2019

In this paper, we propose a method to apply artificial intelligence technology efficiently to integrated security control technology. In other words, by applying machine learning learning to artificial intelligence based on big data collected in integrated security control system, cyber attacks are detected and appropriately responded. As technology develops, many large capacity Is limited to analyzing individual logs. The analysis method should also be applied to the integrated security control more quickly because it needs to correlate the logs of various heterogeneous security devices rather than one log. We have newly proposed an integrated security service model based on artificial intelligence, which analyzes and responds to these behaviors gradually evolves and matures through effective learning methods. We sought a solution to the key problems expected in the proposed model. And we developed a learning method based on normal behavior based learning model to strengthen the response ability against unidentified abnormal behavior threat. In addition, future research directions for security management that can efficiently support analysis and correspondence of security personnel through proposed security service model are suggested.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.326-328
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• 2016

While hackers in early days intended to disable and devastate the system, these days people hack and attack the network in order to steal customer's private information from the big corporate, which changes the nature of the crime to cyber attack for money, eventually causing a lot of damages. One of the most efficient ways to protect this kind of network attack is VPN, referring to Virtual Private Network. VPN is a private networking technology that makes the public network available for only those who are concerned. This paper will suggest the VPN technology that can be applied to Linux server and related protocols and figure the applicable VPN out.

• Convergence Security Journal
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• v.19 no.2
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• pp.83-89
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• 2019

In accordance with information security compliance and security regulations, there is a need to develop regular and real-time concepts for cyber-infringement attacks against network system vulnerabilities in branch and periodic forms. Vulnerability Analysis Analysis It is judged that it will be a countermeasure against new hacking attack in case of concept validation by interworking with TOOL. Vulnerability check module is standardized in event attribute management and ease of operation. Opening in terms of global sharing of vulnerability data, owasp zap / Angry ip Etc. were investigated in the SIEM system with interlocking design implementation method. As a result, it was proved that the inspection events were monitored and transmitted to the SIEM console by the vulnerability module of web and network target. In consideration of this, ESM And SIEM system In this paper, we propose a new vulnerability analysis method based on the existing information security consultation and the results of applying this study. Refer to the integrated interrelationship analysis and reference Vulnerability target Goal Hacking It is judged to be a new active concept against invasion attack.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.35-42
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• 2019

Recently, as the Internet and various wearable devices have appeared, Internet technology has contributed to obtaining more convenient information and doing business. However, as the internet is used in various parts, the attack surface points that are exposed to attacks are increasing, Attempts to invade networks aimed at taking unfair advantage, such as cyber terrorism, are also increasing. In this paper, we propose a feature selection method to improve the classification performance of the class to classify the abnormal behavior in the network traffic. The UNSW-NB15 dataset has a rare class imbalance problem with relatively few instances compared to other classes, and an undersampling method is used to eliminate it. We use the SVM, k-NN, and decision tree algorithms and extract a subset of combinations with superior detection accuracy and RMSE through training and verification. The subset has recall values of more than 98% through the wrapper based experiments and the DT_PSO showed the best performance.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.233-240
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• 2019

In order to predict and respond to cyber attacks, a number of security companies quickly identify the methods, types and characteristics of attack techniques and are publishing Security Intelligence Reports(SIRs) on them. However, the SIRs distributed by each company are huge and unstructured. In this paper, we propose a framework that uses five analytic techniques to formulate a report and extract key information in order to reduce the time required to extract information on large unstructured SIRs efficiently. Since the SIRs data do not have the correct answer label, we propose four analysis techniques, Keyword Extraction, Topic Modeling, Summarization, and Document Similarity, through Unsupervised Learning. Finally, has built the data to extract threat information from SIRs, analysis applies to the Named Entity Recognition (NER) technology to recognize the words belonging to the IP, Domain/URL, Hash, Malware and determine if the word belongs to which type We propose a framework that applies a total of five analysis techniques, including technology.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.18 no.4
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• pp.17-25
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• 2008

Because Chinese Remainder Theorem based RSA (RSA CRT) offers a faster version of modular exponentiation than ordinary repeated squaring, it is promoting with standard. Unfortunately there are major security issues associated with RSA CRT, since Bellcore announced a fault-based cryptanalysis against RSA CRT in 1996. In 1997, Shamir developed a countermeasure using error free immune checking procedure. And soon it became known that the this checking procedure can not effect as the countermeasures. Recently Yen proposed two hardware fault immune protocols for RSA CRT, and this two protocols do not assume the existence of checking procedure. However, in FDTC 2006, the method of attack against the Yen's two protocols was introduced. In this paper, the main purpose is to present a countermeasure against the method of attack from FDTC 2006 for CRT-RSA. The proposed countermeasure use a characteristic bit operation and dose not consider an additional operation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.3
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• pp.525-536
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• 2012

This paper proposes methods of securing Smart Grid system against various types of cyber threats by separating AMI networks from the public network, the Internet, and providing an AMI specific authentication framework. Due to the fact that thousands and millions of AMI devices to be deployed would be directly or indirectly connected to the public network without any authentication procedures for access control, currently being developed AMI architectures could be widely exposed to considerable number of penetrating attacks. Furthermore, there have not been a sufficient number of researches on authentication frameworks with basis on the specific circumstances of AMI networking that should support varied authentication protocols among security associations and AMI linking devices. This work makes a proposal of isolating smart meters from HAN devices and the Internet and integrating network/application level authentication frameworks with an EAP-based authentication architecture. These approaches are beneficial to deploy AMI with security and efficiency.