• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권10호
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• pp.2731-2749
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• 2012

Sybil attack has been proved effective in mitigating the P2P botnet, but the impacts of some important parameters were not studied, and no model to estimate the effectiveness was proposed. In this paper, taking Kademlia-based botnets as the example, the model which has the upper and lower bound to estimate the mitigating performance of the Sybil attack is proposed. Through simulation, how three important factors affect the performance of the Sybil attack is analyzed, which is proved consistent with the model. The simulation results not only confirm that for P2P botnets in large scale, the Sybil attack is an effective countermeasure, but also imply that the model can give suggestions for the deployment of Sybil nodes to get the ideal performance in mitigating the P2P botnet.

• International Journal of Naval Architecture and Ocean Engineering
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• 제13권1호
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• pp.1-11
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• 2021

Performance of a NACA 63₄-021 hydrofoil in motion under and in close proximity of a free surface for a large range of angles of attack is studied. Lift and drag coefficients of the hydrofoil at different submergence depths are investigated both numerically and experimentally, for 0° ≤ AoA ≤ 30° at a Reynolds number of 10⁵. The results of the numerical study are in good agreement with the experimental results. The agreement confirms the new finding that for a submerged hydrofoil operating at high angles of attack close to a free surface, the interaction between the hydrofoil-motion induced waves on the free surface and the hydrofoil results in mitigation of the flow separation characteristics on the suction side of the foil and delay in stall, and improvement in hydrofoil performance. In comparing with a baseline case, results suggest a 55% increase in maximum lift coefficient and 90% average improvement in performance for, based on the lift-to-drag ratio, but it is also observed significant decrease of lift-to-drag ratio at lower angles of attack. Flow details obtained from combined finite volume and volume of fluid numerical methods provide insight into the underlying enhancement mechanism, involving interaction between the hydrofoil and the free surface.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권11호
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• pp.5673-5691
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• 2019

Information centric mobile network can significantly improve the data retrieving efficiency by caching contents at mobile edge. However, the cache pollution attack can affect the data obtaining process severely by requiring unpopular contents deliberately. To tackle the problem, we design an algorithm of mitigating cache pollution attacks in information centric mobile network. Particularly, the content popularity distribution statistic is proposed to detect abnormal behavior. Then a probabilistic caching strategy based on abnormal behavior is applied to dynamically maintain the steady-state distribution for content visiting probability and achieve the purpose of defense. The experimental results show that the proposed scheme can achieve higher request hit ratio and smaller latency for false locality content pollution attack than the CacheShield approach and the baseline approach where no mitigation approach is applied.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권10호
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• pp.4191-4203
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• 2015

WebView is a vital component in smartphone platforms like Android, Windows and iOS that enables smartphone applications (apps) to embed a simple yet powerful web browser inside them. WebView not only provides the same functionalities as web browser, it, more importantly, enables a rich interaction between apps and webpages loaded inside the WebView. However, the design and the features of WebView lays path to tamper the sandbox protection mechanism implemented by browsers. As a consequence, malicious attacks can be launched either against the apps or by the apps through the exploitation of WebView APIs. This paper presents a critical attack called Supplementary Event-Listener Injection (SEI) attack which adds auxiliary event listeners, for executing malicious activities, on the HTML elements in the webpage loaded by the WebView via JavaScript Injection. This paper also proposes an automated static analysis system for analyzing WebView embedded apps to classify the kind of vulnerability possessed by them and a solution for the mitigation of the attack.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권7호
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• pp.1916-1934
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• 2023

The phishing attack is a malicious emerging threat on the internet where the hackers try to access the user credentials such as login information or Internet banking details through pirated websites. Using that information, they get into the original website and try to modify or steal the information. The problem with traditional defense systems like firewalls is that they can only stop certain types of attacks because they rely on a fixed set of principles to do so. As a result, the model needs a client-side defense mechanism that can learn potential attack vectors to detect and prevent not only the known but also unknown types of assault. Feature selection plays a key role in machine learning by selecting only the required features by eliminating the irrelevant ones from the real-time dataset. The proposed model uses Hyperparameter Optimized Artificial Neural Networks (H-ANN) combined with a Hybrid Firefly and Grey Wolf Optimization algorithm (H-FFGWO) to detect and block phishing websites in Internet of Things(IoT) Applications. In this paper, the H-FFGWO is used for the feature selection from phishing datasets ISCX-URL, Open Phish, UCI machine-learning repository, Mendeley website dataset and Phish tank. The results showed that the proposed model had an accuracy of 98.07%, a recall of 98.04%, a precision of 98.43%, and an F1-Score of 98.24%.

• 한국인터넷방송통신학회논문지
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• 제12권2호
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• pp.1-7
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• 2012

DDoS 공격은 분산된 다수의 좀비 시스템들을 이용하여 타겟 시스템이나 네트워크 자원을 고갈시켜 정상적인 서비스를 방해하는 공격이다. 2000년 초 등장된 DDoS 공격은 시간이 갈수록 더욱 진화된 형태로 다양하게 시도되고 있다. 본 논문은 이러한 공격들 중 많은 부분을 차지하고 있는 네트워크 프로토콜의 제어 패킷을 이용한 DDoS 공격들을 탐지하고 공격 가능성을 줄일 수 있는 방법을 제안한다. 제안하는 시스템은 네트워크 혼잡 제어를 위해 일반적으로 사용되는 버퍼 관리 기술을 응용하여 공격의 상태를 파악하고 대처할 수 있는 방안을 제공한다. 제안하는 시스템은 정확한 DDoS 공격 탐지를 제공하지는 않는다. 하지만 내부 시스템의 과부하 가능성을 최소화하고 공격이 확신 시 될 경우 순간 증가하는 제어 패킷을 폐기하여 DDoS 공격을 완화시킬 수 있다. 또한 순간적 트래픽 양의 증가를 공격 탐지로 오인하는 기존 시스템과 달리 유동적으로 적응할 수 있는 장점도 제공한다.

• 정보과학회 논문지
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• 제42권8호
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• pp.1049-1056
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• 2015

2011년에 발표된 RIPE는 프로그램 공격에 대한 완화 기법 평가 도구로서 850 가지 패턴의 버퍼 오버플로우 기반 공격에 대한 완화 기법만을 평가한다. RIPE는 공격과 방어 루틴이 하나의 프로세스로 실행되도록 구성되어, RIPE가 실행될 때에는 공격과 방어 루틴이 프로세스 상태와 주소 공간 배치를 공유할 수밖에 없게 된다. 그 결과 공격 루틴은 방어 루틴의 메모리 공간을 아무런 제약 없이 접근할 수 있게 된다. 이 논문에서는 RIPE의 공격과 방어 루틴이 독립적인 2개의 프로세스로 동작하도록 하여 주소 공간 배치 난독화와 같은 기밀성에 근거한 방어 기법을 정확히 평가할 수 있도록 개선하였다. 또한 억지 공격에 대한 방어 능력을 실험할 수 있도록 실행 모드를 추가하였다. 마지막으로 vtable 포인터 공격과 형식문자열 공격을 수행하도록 38 가지 패턴의 공격을 추가하여 확장하였다. 개선 결과 공격 패턴이 다양하게 되었고, 보호 효과 평가의 정확성도 높아졌다.

• Journal of Electrical Engineering and Technology
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• 제9권3호
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• pp.1043-1050
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• 2014

Obsolescent control systems for power systems are evolving into intelligent systems and connecting with smart devices to give intelligence to the power systems. As networks of the control system are growing, vulnerability is also increasing. The communication network of distribution areas in the power system connects closely to vulnerable environments. Many cyber-attacks have been founded in the power system, and they could be more critical as the power system becomes more intelligent. From these environment, new communication network architecture and mitigation method against cyber-attacks are needed. Availability and Fault Tree analysis used to show that the proposed system enhances performance of current control systems.

• Journal of Information Processing Systems
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• 제12권2호
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• pp.226-233
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• 2016

Cloud computing is a distributed computing model that has lot of drawbacks and faces difficulties. Many new innovative and emerging techniques take advantage of its features. In this paper, we explore the security threats to and Risk Assessments for cloud computing, attack mitigation frameworks, and the risk-based dynamic access control for cloud computing. Common security threats to cloud computing have been explored and these threats are addressed through acceptable measures via governance and effective risk management using a tailored Security Risk Approach. Most existing Threat and Risk Assessment (TRA) schemes for cloud services use a converse thinking approach to develop theoretical solutions for minimizing the risk of security breaches at a minimal cost. In our study, we propose an improved Attack-Defense Tree mechanism designated as iADTree, for solving the TRA problem in cloud computing environments.

• International Journal of Computer Science & Network Security
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• 제24권4호
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• pp.170-178
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• 2024

Through the growth of the fifth-generation networks and artificial intelligence technologies, new threats and challenges have appeared to wireless communication system, especially in cybersecurity. And IoT networks are gradually attractive stages for introduction of DDoS attacks due to integral frailer security and resource-constrained nature of IoT devices. This paper emphases on detecting DDoS attack in wireless networks by categorizing inward network packets on the transport layer as either "abnormal" or "normal" using the integration of machine learning algorithms knowledge-based system. In this paper, deep learning algorithms and CNN were autonomously trained for mitigating DDoS attacks. This paper lays importance on misuse based DDOS attacks which comprise TCP SYN-Flood and ICMP flood. The researcher uses CICIDS2017 and NSL-KDD dataset in training and testing the algorithms (model) while the experimentation phase. accuracy score is used to measure the classification performance of the four algorithms. the results display that the 99.93 performance is recorded.