• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.332-339
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• 2020

This study aims to analyze problems and deduce improvement plans for information security support policies for SMEs in Korea. To this end, an effective support policy necessary for reinforcing cyber safety nets to enhance the level of information security of domestic SMEs based on the analysis results by analyzing the status and problems of the previous research review and analysis, the current status of information security of SMEs and the information security support policies of major SMEs at home and abroad. I would like to suggest improvement measures. Reinforcement of awareness, legal basis, voluntary capacity building, joint response system, professional manpower and budget support, cyber security construction, untact era support, and regional strategic industry security internalization were suggested. This can be used as the government's information security support policy to raise the level of information security of SMEs in preparation for the post Covid19.

• Journal of Internet Computing and Services
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• v.23 no.4
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• pp.95-107
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• 2022

With the rapid development of Internet of Things sensor devices and big data processing techniques, Internet of Things sensor-based information systems have been applied in various industries. Depending on the industry in which the information systems are applied, the accuracy of the information derived can affect the industry's efficiency and safety. Therefore, security techniques that protect sensing data from security attacks and enable information systems to derive accurate information are essential. In this paper, we examine security threats targeting each processing step of an Internet of Things sensor-based information system and propose security mechanisms for each security threat. Furthermore, we present an Internet of Things sensor-based information system structure that is robust to security attacks by integrating the proposed security mechanisms. In the proposed system, by applying lightweight security techniques such as a lightweight encryption algorithm and obfuscation-based data validation, security can be secured with minimal processing delay even in low-power and low-performance IoT sensor devices. Finally, we demonstrate the feasibility of the proposed system by implementing and performance evaluating each security mechanism.

• Korean Security Journal
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• no.5
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• pp.131-156
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• 2002

Private security industry employers in Korea has not concerned with the importance of training and education by lack of recognition and has been passive about qualified guards. And the authorities supervising and the administrating the guards has not recognized the importance of private security and has neglected the training of the guards. Korea has been operated the guard-instructor system for the acquiring the specialization of the security personnel since 1997, but there has been many problems. This study reviews the guard-instructor system in Korea comprehensively and suggests the efficient operation method of that system.

• Food Science and Industry
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• v.44 no.3
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• pp.43-49
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• 2011

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.3
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• pp.49-57
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• 2013

Power-saving PC software enables the inexpensive power control, but the installation of the power-saving software in all computers in the organization is not an easy task. Computer users in the organization are usually not cooperative as they do not think the power-saving cost is directly related to themselves. The PC power-saving system provides advantage to driving active participation in which users installs the power saving software by restricting IP address through the power management server. However, the problem with this approach is the security vulnerability to IP spoofing attacks, therefore we need to solve the problem that disrupt the entire network system rather than saving electric power. This paper proposes the security authentication system that can implement the efficiency saving power by providing high security for the members' computer system of the public institutions based on the PC power-saving system. Also, by analyzing it in comparison with other method, it is possible to check that the prospects of safety and efficiency are strengthened.

• Journal of Korea Society of Digital Industry and Information Management
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• v.5 no.4
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• pp.99-108
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• 2009

In the security environments of heterogeneous multidatabase systems, not only the existing local autonomy but also the security autonomy as a new constraint are required. From global aspects, transactions maintain consistent data value when they assure serializability. Also, secure properties must protect these transactions and data values to prevent direct or indirect information effluence. This paper proposes scheduling algorithm for global transactions to ensure multilevel secure one-copy quasi-serializability (MLS/1QSR) in security environments of multidatabase systems with replicated data and proves its correctness. The proposed algorithm does not violate security autonomy and globally guarantees MLS/1QSR without indirect information effluence in multidatabase systems.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.2
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• pp.11-17
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• 2018

IDS/IPS and networked computer systems are playing an increasingly important role in our society. They have been the targets of a malicious attacks that actually turn into intrusions. That is why computer security has become an important concern for network administrators. Recently, various Detection/Prevention System schemes have been proposed based on various technologies. However, the techniques, which have been applied in many systems is useful for existing intrusion patterns on standard-only systems. Therefore, probe detection of private clouds using BlockChain has become a major security protection technology to detection potential attacks. In addition, BlockChain and Probe detection need to take into account the relationship between the various factors. We should develop a new probe detection technology that uses BlockChain to fine new pattern detection probes in cloud service security in the end. In this paper, we propose a probe detection using Fuzzy Cognitive Map(FCM) and Self Adaptive Module(SAM) based on service security using BlockChain technology.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.43-52
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• 2021

IoT applications are quickly spread in many fields. Blockchain methods(BC), defined as a distributed sharing mechanism, offer excellent support for IoT evolution. The BC provides a secure way for communication between IoT devices. However, the IoT environments are threatened by hacker attacks and malicious intrusions. The IoT applications security are faced with three challenges: intrusions and attacks detection, secure communication, and compressed storage information. This paper proposed a system based on double-blockchain to improve the communication transactions' safety and enhance the information compression method for the stored data. Information security is enhanced by using an Ellipse Curve Cryptography(ECC) considered in a double-blockchain case. The data compression is ensured by the Compressed Sensing(CS) method. The conducted experimentation reveals that the proposed method is more accurate in security and storage performance than previous related works.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.4
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• pp.13-27
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• 2023

In this study, we tried to identify research trends on artificial intelligence security focusing on the United States, United Kingdom, and South Korea. In Elsevier's Scopus We collected 4,983 papers related to artificial intelligence security published from 2018 to 2022 and by using the abstracts of the collected papers, Keyword frequency and centrality analysis were conducted. By calculating keyword frequency, keywords with high frequency of appearance were identified and through the centrality analysis, central research keywords were identified by country. Through the analysis results, research related to artificial intelligence, machine learning, Internet of Things, and cybersecurity in each country was conducted as the most central and highly mediating research. The implication for Korea is that research related to cybersecurity, privacy, and anomaly detection has lower centralities compared to the United States and research related to big data has lower centralities compared to United Kingdom. Therefore, various researches that intensively apply artificial intelligence technology to these fields are needed.

• Korean Security Journal
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• no.10
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• pp.273-292
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• 2005

The purpose of this study was to delve into all sorts of literature concerned in a bid to suggest how the Public Law Enforcement and private Security sector could join forces in preventing crimes and guaranteeing the safety of people. Quite naturally, crime has increased greatly to become one of the major social problems. Crime has been conventionally recognized as 'something' to be prevented and controlled by public law enforcement. However, the rate of crime increase has been so rapid that public law enforcement alone could not effectively control the everincreasing and diversified crimes in our society. To serve as a qualified partner for the police, private security industry should strive to secure excellent manpower and provide education for workers to improve their qualifications. Specifically, they should put sustained efforts into diversifying the types of security business and creating a new market to extend their scope of business and become more competitive. Intensified collaboration between the Public Law Enforcement and private Security security sector is expected to create new synergy in addressing people's needs for safety and enhancing their quality of life.