• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 추계학술대회
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• pp.753-756
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• 2012

피싱 공격의 유형은 역동적으로 변화하며 위협모델도 급속히 변화한다. 피싱은 지속적인 변화를 거듭하면서 대응책이 나올 때마다 지능적인 사기범들은 이를 교묘히 피할 수 있는 새로운 공격기법을 개발한다. 최근 그 중 인터넷 뱅킹의 피싱기법이 날로 고도화되고 있으며 인터넷 뱅킹에서의 악성코드를 이용한 피싱기법이 기승을 부리고 있다. 본 논문에서는 이에 대한 대응책을 마련하는데 도움이 되기 위하여 2장에서 피싱의 의의와 공격유형에 대해 알아보고 3장에서 인터넷 뱅킹에서 악성코드를 이용한 피싱에 관한 구체적인 분석, 4장에서 본 논문의 결론을 서술하겠다.

• 한국정보통신학회논문지
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• 제16권12호
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• pp.2689-2694
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• 2012

최근의 사이버 공격은 경쟁사에 대한 DDoS(Distributed Denial of Service)공격과 기밀정보 유출, 일반 사용자들의 금융정보 유출 광고성 스팸메일의 대량 발송 등 불법 행위를 통해 경제적 이득을 취하려는 형태로 바뀌어가고 있다. 그 중심에 있는 봇넷은 봇이라 불리는 감염된 호스트들의 네트워크로서 최근 발생하는 많은 사이버 공격에 이용되고 있다. 이러한 봇넷은 수많은 변종과 다양한 탐지 회피 기술로 무장하고 전 세계 네트워크 전반에 걸쳐 그 세력을 확장해 가고 있다. 하지만 현존하는 봇넷 대응 솔루션은 대부분 시그네처 기반 탐지 방법을 이용하거나, 극히 제한적인 지역의 봇넷를 탐지하고 있어, 총괄적 봇넷 대응에는 미흡한 것이 현실이다. 본 논문에서는 봇넷을 제어하기 위해 사용되는 IRC(Internet Relay Chat) 통신 세션에서 서버와 연결하는 채널과의 관계 분석을 통하여 봇에 감염된 호스트와 연결된 IRC서버 채널을 탐지하는 방법을 제안한다.

• 디지털산업정보학회논문지
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• 제14권1호
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• pp.35-43
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• 2018

MANET composed of only wireless nodes is increasingly utilized in various fields. However, it is exposed to many security vulnerabilities because it doesn't have any infrastructure and transmits data by using multi-hop method. Therefore, MANET should be applied the intrusion detection technique that can detect efficiently malicious nodes and decrease impacts of various attacks. In this paper, we propose a distributed intrusion detection technique that can detect the various attacks while improving the efficiency of attack detection and reducing the false positive rate. The proposed technique uses the cluster structure to manage the information in the center and monitor the traffic of their neighbor nodes directly in all nodes. We use three parameters for attack detection. We also applied an efficient authentication technique using only key exchange without the help of CA in order to provide integrity when exchanging information between cluster heads. This makes it possible to free the forgery of information about trust information of the nodes and attack nodes. The superiority of the proposed technique can be confirmed through comparative experiments with existing intrusion detection techniques.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권10호
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• pp.5219-5243
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• 2019

In electronic ticketing system, the malicious behavior of scalpers damages the customer's interest and disturbs the normal order of market. In order to solve the problem of scalpers, we took two steps. Firstly, we established the electronic ticketing system based on the consortium blockchain (CB-ETS). By establishing CB-ETS, we can make the ticketing market develop better in a controlled environment and be managed by the members in the consortium blockchain. Secondly, we put forward a kind of taxation mechanism for suppressing scalpers based on CB-ETS. Together with the regulatory mechanism, our scheme can effectively reduce the scalpers' profits and further inhibit scalpers. Through the above two steps, the scheme can effectively resist the malicious behavior of scalpers. Among them, in the process of transferring tickets, we optimized the transfer mechanism to achieve a win-win situation. Finally, we analyzed the security and efficiency of our scheme. Our scheme realizes the anonymity through the mixed currency protocol based on ring signature and guarantees the unforgeability of tickets by multi-signature in the process of modifying the invalidity of tickets. It also could resist to Dos attacks and Double-Spending attacks. The efficiency analysis shows that our scheme is significantly superior to relevant works.

• Journal of Communications and Networks
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• 제15권2호
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• pp.122-131
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• 2013

We address the problem of effective vehicular routing in hostile scenarios where malicious nodes intend to jeopardize the delivery of messages. Compromised vehicles can severely affect the performance of the network by a number of attacks, such as selectively dropping messages, manipulating them on the fly, and the likes. One of the best performing solutions that has been used in static wireless sensor networks to deal with these attacks is based on the concept of watchdog nodes (also known as guard nodes) that collaborate to continue the forwarding of data packets in case a malicious behavior in a neighbor node is detected. In this work, we consider the beacon-less routing algorithm for vehicular environments routing protocol, which has been previously shown to perform very well in vehicular networks, and analyze whether a similar solution would be feasible for vehicular environments. Our simulation results in an urban scenario show that watchdog nodes are able to avoid up to a 50% of packet drops across different network densities and for different number of attackers, without introducing a significant increase in terms of control overhead. However, the overall performance of the routing protocol is still far from optimal. Thus, in the case of vehicular networks, watchdog nodes alone are not able to completely alleviate these security threats.

• 융합정보논문지
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• 제11권6호
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• pp.24-32
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• 2021

최근 랜섬웨어(ransomware) 공격은 이메일, 피싱(phishing), 디바이스(Device) 해킹 등 다양한 경로를 통해 감염되어 피해 규모가 급증하는 추세이다. 그러나 기존 알려진 악성코드(정적/동적) 분석 엔진은 APT(Aadvanced Persistent Threat)공격처럼 발전된 신종 랜섬웨어에 대한 탐지/차단이 매우 어렵다. 본 연구는 그래프 데이터베이스를 기반으로 랜섬웨어 악성 행위를 모델링(Modeling)하고 랜섬웨어에 대한 새로운 다중 복합 악성 행위를 탐지하는 방법을 제안한다. 연구 결과 기존 관계형 데이터베이스와 다른 새로운 그래프 데이터 베이스 환경에서 랜섬웨어의 패턴 탐지가 가능함을 확인하였다. 또한, 그래프 이론의 연관 관계 분석 기법이 랜섬웨어 분석 성능에 크게 효율적임을 증명하였다.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.153-158
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• 2022

The Internet of Things (IoT) has gotten a lot of research attention in recent years. IoT is seen as the internet's future. IoT will play a critical role in the future, transforming our lifestyles, standards, and business methods. In the following years, the use of IoT in various applications is likely to rise. In the world of information technology, cyber security is critical. In today's world, protecting data has become one of the most difficult tasks. Different type of emerging cyber threats such as malicious, network based and abuse of network have been identified in the IoT. These can be done by virus, Phishing, Spam and insider abuse. This paper focuses on emerging threats, various challenges and vulnerabilities which are faced by the cyber security in the field of IoT and its applications. It focuses on the methods, ethics, and trends that are reshaping the cyber security landscape. This paper also focuses on an attempt to classify various types of threats, by analyzing and characterizing the intruders and attacks facing towards the IoT devices and its services.

• International Journal of Computer Science & Network Security
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• 제24권5호
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• pp.64-72
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• 2024

In recent times cyber attackers can use Artificial Intelligence (AI) to boost the sophistication and scope of attacks. On the defense side, AI is used to enhance defense plans, to boost the robustness, flexibility, and efficiency of defense systems, which means adapting to environmental changes to reduce impacts. With increased developments in the field of information and communication technologies, various exploits occur as a danger sign to cyber security and these exploitations are changing rapidly. Cyber criminals use new, sophisticated tactics to boost their attack speed and size. Consequently, there is a need for more flexible, adaptable and strong cyber defense systems that can identify a wide range of threats in real-time. In recent years, the adoption of AI approaches has increased and maintained a vital role in the detection and prevention of cyber threats. In this paper, an Ensemble Deep Restricted Boltzmann Machine (EDRBM) is developed for the classification of cybersecurity threats in case of a large-scale network environment. The EDRBM acts as a classification model that enables the classification of malicious flowsets from the largescale network. The simulation is conducted to test the efficacy of the proposed EDRBM under various malware attacks. The simulation results show that the proposed method achieves higher classification rate in classifying the malware in the flowsets i.e., malicious flowsets than other methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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• pp.260-280
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• 2020

Cyber-attacks emerge in a more intelligent way, and various security technologies are applied to respond to such attacks. Still, more and more people agree that individual response to each intelligent infringement attack has a fundamental limit. Accordingly, the cyber threat intelligence analysis technology is drawing attention in analyzing the attacker group, interpreting the attack trend, and obtaining decision making information by collecting a large quantity of cyber-attack information and performing relation analysis. In this study, we proposed relation analysis factors and developed a system for establishing cyber threat intelligence, based on malicious code as a key means of cyber-attacks. As a result of collecting more than 36 million kinds of infringement information and conducting relation analysis, various implications that cannot be obtained by simple searches were derived. We expect actionable intelligence to be established in the true sense of the word if relation analysis logic is developed later.

• ETRI Journal
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• 제33권5호
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• pp.826-829
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• 2011

Distributed systems particularly suffer from Sybil attacks, where a malicious user creates numerous bogus nodes to influence the functions of the system. In this letter, we propose a Bloom filter-based scheme, SybilBF, to fight against Sybil attacks. A Bloom filter presents a set of Sybil nodes according to historical behavior, which can be disseminated to at least n (e-1)/e honest nodes. Our evaluation shows that SybilBF outperforms state of the art mechanisms improving SybilLimit by a factor of (1/e)${\gamma}$ at least.