• International Journal of Computer Science & Network Security
• /
• v.21 no.7
• /
• pp.365-373
• /
• 2021

Covid-19 posed a serious threat to public health worldwide, especially in the absence of vaccines or medicines. The only viable strategies to combat a virus with a high infection rate were to apply lock-down strategies, transport ban, social and physical distancing. In this work, we provide a domain-specific component model for crisis management. The model allows for building a plan for managing Covid-19 crisis and use the plan as a template to generate a system specific for managing that crisis. The crisis component model is derived from X-MAN II, a generic component model that we have developed for the aircraft industry

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.97-108
• /
• 2022

The video-assisted human action recognition [1] field is one of the most active ones in computer vision research. Since the depth data [2] obtained by Kinect cameras has more benefits than traditional RGB data, research on human action detection has recently increased because of the Kinect camera. We conducted a systematic study of strategies for recognizing human activity based on deep data in this article. All methods are grouped into deep map tactics and skeleton tactics. A comparison of some of the more traditional strategies is also covered. We then examined the specifics of different depth behavior databases and provided a straightforward distinction between them. We address the advantages and disadvantages of depth and skeleton-based techniques in this discussion.

• Journal of information and communication convergence engineering
• /
• v.15 no.1
• /
• pp.14-20
• /
• 2017

In this paper, we discuss physical layer security techniques in downlink networks, including eavesdroppers. The main objective of using physical layer security is delivering a perfectly secure message from a transmitter to an intended receiver in the presence of passive or active eavesdroppers who are trying to wiretap the information or disturb the network stability. In downlink networks, based on the random feature of channels to terminals, opportunistic user scheduling can be exploited as an additional tool for enhancing physical layer security. We introduce user scheduling strategies and discuss the corresponding performances according to different levels of channel state information (CSI) at the base station (BS). We show that the availability of CSI of eavesdroppers significantly affects not only the beamforming strategy but also the user scheduling. Eventually, we provide intuitive information on the effect of CSI on the secrecy performance by considering three scenarios: perfect, imperfect, and absence of eavesdropper's CSI at the BS.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.10a
• /
• pp.973-976
• /
• 2015

Inernet of Things(IoT) is interaction with each other, collecting, sharing, and analysing the data. IoT has been noted in combining the fields of medical service in particular. However, the security issue is caused, while IoT is receiving attention. U-Health and medical devices, which deal mainly the personal health information, is required to a high level of privacy and security of health information. This study analyzes cases of leakage of personal medical information, security of IoT, privacy flow, and the response strategies.

• Advances in nano research
• /
• v.15 no.6
• /
• pp.513-520
• /
• 2023

The exponential proliferation of cutting-edge computing technologies has spurred organizations to outsource their data and computational needs. In the realm of cloud-based computing environments, ensuring robust security, encompassing principles such as confidentiality, availability, and integrity, stands as an overarching imperative. Elevating security measures beyond conventional strategies hinges on a profound comprehension of malware's multifaceted behavioral landscape. This paper presents an innovative paradigm aimed at empowering cloud service providers to adeptly model user behaviors. Our approach harnesses the power of a Particle Swarm Optimization-based Probabilistic Neural Network (PSO-PNN) for detection and recognition processes. Within the initial recognition module, user behaviors are translated into a comprehensible format, and the identification of malicious nano-structures behaviors is orchestrated through a multi-layer neural network. Leveraging the UNSW-NB15 dataset, we meticulously validate our approach, effectively characterizing diverse manifestations of malicious nano-structures behaviors exhibited by users. The experimental results unequivocally underscore the promise of our method in fortifying security monitoring and the discernment of malicious nano-structures behaviors.

• International Journal of Computer Science & Network Security
• /
• v.21 no.2
• /
• pp.148-157
• /
• 2021

The effectiveness of recommendation systems depends on the performance of the algorithms with which these systems are designed. The quality of the algorithms themselves depends on the quality of the strategies with which they were designed. These strategies differ from author to author. Thus, designing a good recommendation system means implementing the good strategies. It's in this context that several research works have been proposed on various strategies applied to algorithms to meet the needs of recommendations. Researchers are trying indefinitely to address this objective of seeking the qualities of recommendation algorithms. In this paper, we propose a new algorithm for recommending learning items. Learner performance predictions and collaborative recommendation methods are used as strategies for this algorithm. The proposed performance prediction model is based on convolutional neural networks (CNN). The results of the performance predictions are used by the proposed recommendation algorithm. The results of the predictions obtained show the efficiency of Deep Learning compared to the k-nearest neighbor (k-NN) algorithm. The proposed recommendation algorithm improves the recommendations of the learners' learning items. This algorithm also has the particularity of dissuading learning items in the learner's profile that are deemed inadequate for his or her training.

• Analyses & Alternatives
• /
• v.5 no.1
• /
• pp.59-85
• /
• 2021

This study focuses on the impact of China's system on the goals and strategies of public diplomacy for its actors and actions. In other words, China, which aims to assimilate the Western political values and systems, is special in setting the goals and strategies pursued through public diplomacy. Therefore, China often uses the historical and cultural agenda that it shares mainly in order to promote public diplomacy in the neighboring countries of Northeast Asia such as Taiwan and Korea, who have different systems. This phenomenon is an important key of explaining the vulnerability of China's public diplomacy in the face of political and security insecurity. Also, because of China's authoritarian politics and national-social relations, China can pursue efficient public diplomacy. On the other hand, however, such phenomenon provides an answer to why China's public diplomacy is not an effective buffer in the face of political and security conflicts with neighboring countries. Based on this framework, this study seeks to find answers to Why is China's public diplomacy not strong enough to ease political and security conflicts with neighboring countries?

• International Journal of Computer Science & Network Security
• /
• v.24 no.4
• /
• pp.11-25
• /
• 2024

The proliferation of IoT devices has presented an unprecedented challenge in managing device identities securely and efficiently. In this paper, we introduce an innovative Hybrid Blockchain-Based Approach for IoT Identity Management that prioritizes both security and efficiency. Our hybrid solution, strategically combines the advantages of direct and indirect connections, yielding exceptional performance. This approach delivers reduced latency, optimized network utilization, and energy efficiency by leveraging local cluster interactions for routine tasks while resorting to indirect blockchain connections for critical processes. This paper presents a comprehensive solution to the complex challenges associated with IoT identity management. Our Hybrid Blockchain-Based Approach sets a new benchmark for secure and efficient identity management within IoT ecosystems, arising from the synergy between direct and indirect connections. This serves as a foundational framework for future endeavors, including optimization strategies, scalability enhancements, and the integration of advanced encryption methodologies. In conclusion, this paper underscores the importance of tailored strategies in shaping the future of IoT identity management through innovative blockchain integration.

• Journal of Advanced Navigation Technology
• /
• v.13 no.1
• /
• pp.120-125
• /
• 2009

To enhance international competitiveness through the protection of cutting-edge industrial technology, it is essential to establish the policy for strengthening ability to develop industrial security technology and raising international competitiveness. In this study we investigated and analysed not only the ecumenic trend but also the present condition, then we executed the deduction of the industrial security technology development program in a aspect of government and analysed the current status of the technical security technology for developing security technology and increasing leaks of the advanced industrial technology.

• Convergence Security Journal
• /
• v.11 no.5
• /
• pp.31-40
• /
• 2011

As new technologies emerge and threats become increasingly complex and unpredictable, security professionals who are living in the age of information face an increasingly complex array of challenges. In recent, virtually all organizations with physical and IT assets protect those assets in a variety of methods. There are physical systems to protect facilities and their contents from unlawful trespassing. It is important to note that the integration of physical and IT security is to be required: When done correctly, the integration starts with laws, strategies, policies and procedures. Integration of physical and IT security systems is done not for its own sake but in support of security policies and procedures. Significant security improvements can be made by integrating physical and IT security management without necessarily integrating physical and logical electronic security systems. Up to now, the private security industries of the Republic of Korea have been operated and developed by the separation of physical security and industrial security. However, considering the fast changing security environments, physical security companies should turn their attention to security convergence field to cope with the new trends in the security matters. At the same time, governmental supports on the improvement of various laws, regulations and policies in such a way to meet the realistic needs of the industries should be followed.