• International Journal of Internet, Broadcasting and Communication
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• 제13권4호
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• pp.1-10
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• 2021

The purpose of the study is to contribute to the positive development of blockchain technology by providing data to examine security vulnerabilities and threats to blockchain-based services and review countermeasures. The findings of this study are as follows. Threats to the security of blockchain-based services can be classified into application security threats, smart contract security threats, and network (P2P) security threats. First, application security threats include wallet theft (e-wallet stealing), double spending (double payment attack), and cryptojacking (mining malware infection). Second, smart contract security threats are divided into reentrancy attacks, replay attacks, and balance increasing attacks. Third, network (P2P) security threats are divided into the 51% control attack, Sybil attack, balance attack, eclipse attack (spread false information attack), selfish mining (selfish mining monopoly), block withholding attack, DDoS attack (distributed service denial attack) and DNS/BGP hijacks. Through this study, it is possible to discuss the future plans of the blockchain technology-based ecosystem through understanding the functional characteristics of transparency or some privacy that can be obtained within the blockchain. It also supports effective coping with various security threats.

• 인터넷정보학회논문지
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• 제5권4호
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• pp.23-33
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• 2004

본 논문에서는, 고속의 인터넷 백본 링크상에서 네트워크 공격의 징후를 트래픽 측정에 의하여 탐지해 내기 위한 방법을 제안한다. 이를 위하여, 인터넷 백본상에서 나타나는 정상 및 공격 트래픽의 패턴을 분석하였고. 이러한 트래픽 특성을 활용하여 네트워크 공격 감지를 위한 두가지 트래픽 척도를 도출하였다. 이들은 평균 파워 스펙트럼과 패킷수 대 트래픽양 비율이다. 그리고, 이들 트래픽 척도들을 집합된 트래픽 수준에서 측정함으로써 네트워크 공격 징후 감지를 위한 방법론을 제안한다. 실험 결과는 제안된 방법이 네트워크 공격 징후를 매우 잘 감지해내고 있음을 보여준다. 제안된 방법은 개별 플로우 또는 개별 패킷들에 기반을 둔 기존의 방법들과 달리, 집합된 트래픽 수준에서 운영되므로 계산의 복잡성을 현저히 줄일수있다.

• International Journal of Computer Science & Network Security
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• 제23권9호
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• pp.111-119
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• 2023

Mobile Ad-hoc Network (MANET) is an infrastructure-less network that can configure itself without any centralized management. The topology of MANET changes dynamically which makes it open for new nodes to join it easily. The openness area of MANET makes it very vulnerable to different types of attacks. One of the most dangerous attacks is the Resource Consumption Attack (RCA). In this type of attack, the attacker consumes the normal node energy by flooding it with bogus packets. Routing in MANET is susceptible to RCA and this is a crucial issue that deserves to be studied and solved. Therefore, the main objective of this paper is to study the impact of RCA on two routing protocols namely, Ad hoc On-Demand Distance Vector (AODV) and Dynamic Source Routing (DSR); as a try to find the most resistant routing protocol to such attack. The contribution of this paper is a new RCA model (RCAM) which applies RCA on the two chosen routing protocols using the NS-2 simulator.

• 반도체디스플레이기술학회지
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• 제22권3호
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• pp.112-118
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• 2023

As technology advances, the need for enhanced preparedness against cyber-attacks becomes an increasingly critical problem. Therefore, it is imperative to consider various circumstances and to prepare for cyber-attack strategic technology. This paper proposes a method to solve network security problems by applying reinforcement learning to cyber-security. In general, traditional static cyber-security methods have difficulty effectively responding to modern dynamic attack patterns. To address this, we implement cyber-attack scenarios such as 'Tiny Alpha' and 'Small Alpha' and evaluate the performance of various reinforcement learning methods using Network Attack Simulator, which is a cyber-attack simulation environment based on the gymnasium (formerly Open AI gym) interface. In addition, we experimented with different RL algorithms such as value-based methods (Q-Learning, Deep-Q-Network, and Double Deep-Q-Network) and policy-based methods (Actor-Critic). As a result, we observed that value-based methods with discrete action spaces consistently outperformed policy-based methods with continuous action spaces, demonstrating a performance difference ranging from a minimum of 20.9% to a maximum of 53.2%. This result shows that the scheme not only suggests opportunities for enhancing cybersecurity strategies, but also indicates potential applications in cyber-security education and system validation across a large number of domains such as military, government, and corporate sectors.

• 한국정보통신학회논문지
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• 제26권9호
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• pp.1374-1381
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• 2022

네트워크 공격 대응에 관한 보안기술의 기존 연구들은 하드웨어적 네트워크 보안 기술을 이용하여 네트워크의 보안성을 높이는 방법이나 바이러스 방역 백신과 바이러스 방역 시스템이 주로 제안 설계되어왔다. 많은 사용자는 라우터의 보안 기능을 충분히 활용하지 못하고 있어 이러한 문제점을 극복하기 위해 네트워크 보안 수준에 따라 분리함으로써 계층화된 보안 관리를 통하여 외부에서의 공격을 차단할 수 있음을 계층별 실험을 통해 분류하였다. 연구의 범위는 Edge 라우터의 보안기술 동향을 살펴봄으로 Edge 라우터 기반의 네트워크 공격에 관한 위협으로부터 보호하는 방법과 구현 사례를 제시한다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 학술대회지
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• pp.540-543
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• 2004

Address Resolution Protocol (ARP) cache poisoning is a MAC layer attack that can only be carried out when an attacker is connected to the same local network as the target machines. ARP is not a new problem, but wireless network introduces a new attack point and more vulnerable to the attack. The attack on wireless network cannot be detected by current detection tool installed on wired network. In order to detect the ARP poisoning attack, there must be a ARP poisoning detection tool for wireless LAN environment. This paper proposes linux-based ARP poisoning detection system equipped with wireless LAN card and Host AP device driver

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권7호
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• pp.3671-3689
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• 2019

Software defined networking brings unique security risks such as control plane saturation attack while enhancing the performance of wireless sensor networks. The attack is a new type of distributed denial of service (DDoS) attack, which is easy to launch. However, it is difficult to detect and hard to defend. In response to this, the attack threat model is discussed firstly, and then a DDoS attack prevention extension, called FuzzyGuard, is proposed. In FuzzyGuard, a control network with both the protection of data flow and the convergence of attack flow is constructed in the data plane by using the idea of independent routing control flow. Then, the attack detection is implemented by fuzzy inference method to output the current security state of the network. Different probabilistic suppression modes are adopted subsequently to deal with the attack flow to cost-effectively reduce the impact of the attack on the network. The prototype is implemented on SDN-WISE and the simulation experiment is carried out. The evaluation results show that FuzzyGuard could effectively protect the normal forwarding of data flow in the attacked state and has a good defensive effect on the control plane saturation attack with lower resource requirements.

• 한국멀티미디어학회논문지
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• 제23권1호
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• pp.24-30
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• 2020

As the number of internet-connected appliances and the variety of IoT services are rapidly increasing, it is hard to protect IT assets with traditional network security techniques. Most traditional network log analysis systems use rule based mechanisms to reduce the raw logs. But using predefined rules can't detect new attack patterns. So, there is a need for a mechanism to reduce congested raw logs and detect new attack patterns. This paper suggests enterprise security management for IoT services using graph and network measures. We model an event network based on a graph of interconnected logs between network devices and IoT gateways. And we suggest a network clustering algorithm that estimates the attack probability of log clusters and detects new attack patterns.

• 한국콘텐츠학회논문지
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• 제18권4호
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• pp.48-59
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• 2018

최근 네트워크 기술의 발달로 인해 다양한 분야에서 네트워크 기술이 사용되고 있다. 그러나 발전하는 네트워크 기술을 악용하여 공공기관, 기업 등을 대상으로 하는 공격 사례가 증가하였다. 한편 기존 네트워크 침입 탐지 시스템은 네트워크 로그의 양이 증가함에 따라 로그를 처리하는데 많은 시간이 소요된다. 따라서 본 논문에서는 Snort를 이용한 비정형 네트워크 공격패턴 탐지를 수행하는 Spark 기반의 네트워크 로그 분석 시스템을 제안한다. 제안하는 시스템은 대용량의 네트워크 로그 데이터에서 네트워크 공격 패턴탐지를 위해 필요한 요소를 추출하여 분석한다. 분석을 위해 Port Scanning, Host Scanning, DDoS, Worm 활동에 대해 네트워크 공격 패턴을 탐지하는 규칙을 제시하였으며, 이를 실제 로그 데이터에 적용하여 실제 공격 패턴 탐지를 잘 수행함을 보인다. 마지막으로 성능평가를 통해 제안하는 Spark 기반 로그분석 시스템이 Hadoop 기반 시스템에 비해 로그 데이터 처리 성능이 2배 이상 우수함을 보인다.

• 대한전자공학회논문지TC
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• 제40권10호
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• pp.67-78
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• 2003

인터넷 트래픽의 폭발적인 증가로 인한 높은 대역폭의 요구와 광 네트워크 기술이 발전되면서 DWDM 네트워크가 국가적 혹은 범세계적인 차세대 광 인터넷(NGOI) 백본망의 대안으로 인식되고 있다. 이러한 DWDM 네트워크 기반의 NGOI에서는 RWA(Routing and Wavelength Assignment) 문제와 생존성이 중요한 이슈가 되고 있다. 특히 높은 데이터 전송율을 가지는 DWDM 네트워크에서 일어나는 짧은 서비스 파괴는 막대한 트래픽 손실을 야기하므로, AOTN에서의 fault/attack 검출, 지역화, 그리고 회복시킴은 가장 중요한 이슈 중 하나가 된다. 본 논문에서는 다양한 광 백본망 소자들의 fault/attack 취약성 분석을 통한 fault/attack 관리 모델을 제안하고, IP/GMPLS over DWDM 내의 제어프로토콜인 Extended-LMP (Link Management Protocol)와 RSVP-TE+(Resource Reservation Protocol-Traffic Engineering)를 이용하여 fault/attack 회복 절차를 제시한다.