• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.9
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• pp.2739-2763
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• 2024

In wide area SDP networks, the failure of SDP components caused by malicious attacks will be accompanied by different deployment locations, profoundly affecting network service latency. However, traditional deployment methods based on prior knowledge are no longer applicable to dynamic SDP networks. This article proposes a dynamic and dimensionally variable deployment mechanism DDPG-SDPCR for SDP components based on DDPG, which enhances the network's endogenous security capability and improves attack tolerance. Based on this, we constructed corresponding mathematical models for latency, load balancing, and attack tolerance. The DDPG-SDPCR mechanism dynamically deploys new SDP nodes to replace faulty nodes based on the real-time status of the network, thereby achieving imperceptible attack tolerance for users. We have implemented a wide area SDP prototype with endogenous security capabilities and evaluated it under different network topologies, traffic sizes, and network attacks. The evaluation results indicate that under high traffic conditions, our proposed redeployment mechanism outperforms the baseline by 36.42% in latency, and only increases by 19.24% compared to the non attacked situation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.1
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• pp.237-246
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• 2016

Recently various types of cyber attacks have occurred. The strategic goals & tactical means of these have evolved. Especially KHNP cyber attack was the type of hacktivism combined hack and psychological warfare. The cyber attackers have forecd the nation to participate in the cyber warfare and the government to make strategic decisions to the releases of confidential information and the threats of stopping KHNP. In this paper, we would like to study the effective strategic decision-making model utilizing the game theory and including an attack intelligence on open policy Decision framework.

• Structural Engineering and Mechanics
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• v.84 no.2
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• pp.167-180
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• 2022

A strategic structure when exposed to direct hit of conventional bomb/projectile are severely damaged because of large amounts of energy released by the impact and penetration of bomb. When massive concrete slabs suffer a direct hit, the energy released during impact and penetration process are able to easily break up large mass of concrete. When over stressed under such impact of bombs, the concrete structure fails showing brittle behavioural nature. This paper is intended to study and suggest the protective measures for structures used for strategic application by adopting a means to dissipate the large quantum of energy released. To quantitatively evaluate the force, displacement and energy in such scenario, a fine numerical model of the proposed layered structure of different combinations was built in ANSYS programme in which tri-nitrotoluene (TNT) explosive was detonated at penetration depth calculated for GP1000 Lbs bomb. The distinct blast mitigation effect of the proposed structure was demonstrated by adopting various layers/barriers created as protective measures for the strategic structure. The calculated result shows that the blast effect on the structure is potentially reduced due to provision of buster slab with sand cushioning provided as protective measure to the main structure. This concept of layered protective measures may be adopted for safeguarding strategic structures such as Domes, Tunnels and Underground Structures.

• Convergence Security Journal
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• v.10 no.4
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• pp.83-91
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• 2010

Information security is a critical issue for national defense. This paper provides a result of a study on the countermeasures to the North Korean Asymmetric Strategy-'Cyber Surprise Attack'. After the attack on Yeonpyeong island, the North Korea threatened there will be more surprise attack to the South Korea. Based on the analysis of 'Stuxnet' cyber attack to Iran and China, the North Korean surprise attack may be 'Stuxnet'class cyber attack. This paper several strategic countermeasures in order to overcome the anticipated the North Korean cyber surprise attack.

• Journal of the Semiconductor & Display Technology
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• v.22 no.3
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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.

• Journal of Platform Technology
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• v.9 no.1
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• pp.3-14
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• 2021

Cognitive Radio network (CR) is a promising paradigm that helps the unlicensed user (Secondary User) to analyse the spectrum and coordinate the spectrum access to support the creation of common control channel (CCC). The cooperation of secondary users and broadcasting between them is done through transmitting messages in CCC. In case, if the control channels may get jammed and it may directly degrade the network's performance and under such scenario jammers will devastate the control channels. Hopping sequences may be one of the predominant approaches and it may be used to fight against this problem to confront jammer. The jamming attack can be alleviated using one of the game modelling approach and in this proposed scheme stochastic games has been analysed with more single users to provide the flexible control channels against intrusive attacks by mentioning the states of each player, strategies ,actions and players reward. The proposed work uses a modern player action and better strategic view on game theoretic modelling is stochastic game theory has been taken in to consideration and applied to prevent the jamming attack in CR network. The selection of decision is based on Q learning approach to mitigate the jamming nodes using the optimal MDP decision process

• 제어로봇시스템학회:학술대회논문집
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• 1993.10b
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• pp.462-467
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• 1993

Even nowadays ships on the sea are important strategic base for aircraft and missiles. Thus we have been studying an unmanned attack system against ships recently. We experienced severa problems when this system was simulated on the computer. In this paper, problems and solutions of an Air-To-Sea Guided Bomb for this system are presented.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.167-172
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• 2024

In major wars of the 21st century, drones are expanding beyond surveillance and reconnaissance to include land and air as well as sea and underwater for purposes such as precision strikes, suicide attacks, and cognitive warfare. These drones will perform multi-domain operations, and to this end, they will continue to develop by improving the level of autonomy and strengthening scalability based on the High-Low Mix concept. Recently, drones have been used as a major means in major wars around the world, and there seems to be a good chance that they will evolve into game changers in the future. North Korea has also been making significant efforts to operate reconnaissance and attack drones for a long time. North Korea has recently continued to engage in provocations using drones, and its capabilities are gradually becoming more sophisticated. In addition, with the recent emergence of new strategic Drones, wartime and peacetime threats such as North Korea's use of these to secure surveillance, reconnaissance and early warning capabilities against South Korea and new types of provocations are expected to be strengthened. Through this study, we hope to provide implications by analyzing the capabilities of North Korea's strategic Drones, predicting their operation patterns, and conducting active follow-up research on the establishment of a comprehensive strategy, such as our military's drone deployment and counter-drone system solutions.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.221-230
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• 2020

The effects-based operation, which would reduce unnecessary efforts and meaningless sacrifices incurred during a war and simultaneously reach the will of the enemy leadership by strategic attacks, was discarded for the reason that it was difficult to apply it to military power except for airpower. However, cyberspace, which can be thoroughly logical and calculated, can be suitable for conducting effects-based operations. This study examined a way to carry out effects-based operations in such cyberspaces. It laid the foundation for overcoming the limitations of effects-based operations revealed in previous battle cases and executing the operations in cyber battlespace where the boundary between physical and cyberspaces gradually disappeared. Futhermore, it demonstrated that effects-based operations could be carried out in cyberspace by establishing a military strategy, which could conduct the operations through an analysis of previous cyber-attack cases.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.93-102
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• 2019

This paper aims to set the priorities for the cybersecurity strategy of Cambodian government. To this end, we built a AHP research model by adopting 4 factors from the ITU national interests model and selecting 7 strategies from best practices of 8 countries leading the cyber security. Using a questionnaire, 19 experts evaluated Cambodia's cybersecurity strategy priorities. The key policy factors were evaluated in the order of homeland defense, economic welfare, value promotion and favorable world order. Their strategic alternatives were identified in the order of legislation, capacity building, and cyber attack prevention for critical infrastructure. This study will contribute to setting the strategic priorities and feasible action plans to strengthen Cambodia's cybersecurity capabilities.