• International Journal of Computer Science & Network Security
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• v.24 no.9
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• pp.157-161
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• 2024

Cloud computing becomes an important technology for distributed computing and parallel computing. Cloud computing provides various facility like to share resources, software packages, information, storage and many different applications depending on user demand at any time and at any place. It provides an extensive measure for computing and storage. A service provided by it to user follows pay-as-you-go model. Although it provides many facilities still there is some problem which are resource discovery, fault tolerance, load balancing, and security. Out of these Load balancing is the main challenges. There are many techniques which used to distribute wor9kload or task equally across the servers. This paper includes cloud computing, cloud computing architecture, virtualization and MS load balancing technique which provide enhanced load balancing.

• Journal of Sensor Science and Technology
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• v.33 no.5
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• pp.248-254
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• 2024

Artificial intelligence techniques have improved fire-detection methods; however, false alarms still occur. Conventional methods detect fires using current sensors, which can lead to detection errors due to temporary environmental changes or noise. Thus, fire-detection methods must include a trend analysis of past information. We propose a deep-learning-based fire detection method using multi-sensor data and Kendall's tau. The proposed system used a BiLSTM model to predict fires using pre-processed multi-sensor data and extracted trend information. Kendall's tau indicates the trend of a time-series data as a score; therefore, it is easy to obtain a target pattern. The experimental results showed that the proposed system with trend values recorded an accuracy of 99.93% for BiLSTM and GRU models in a 20-tap moving average filter and 40% fire threshold. Thus, the proposed trend approach is more accurate than that of conventional approaches.

• Korean Security Journal
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• no.15
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• pp.173-198
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• 2008

As we took a look at above, this researcher suggest following device to extend Korea's private security industry's area. First, it is necessary to extend private investigation law's area grafting private security together. Second, it is necessary it is necessary to think of private security's role related key figure law, corresponding terror law, Presidential Security Service Guard law. Third, as a draft of a proposed law related prevention flowing out of industry techniques among industry security related law, passed, it is necessary private security's diversity, subdivision, composition through an enterprise security, and private security industry area's grafting together. Fourth, a research about private security company's investment and professional area's bringing up as well as business's extension device should be groped for the security consulting though total system management service. Fifth, there are no big difference education course and purpose, duty about a security police man law and security law's unification, so it is necessary to drive forward actively unification through government organization's cooperation. Sixth, a paradigm shift should be occured about private security service among policeman, citizen, and private security guards. Seventh, it is considered the role of security association is important. Lastly about a matter communication between the National Police Agency, and Security Association, not only look at from an authority's angle, collecting information, corresponding ability but now it is considered to grope each other cooperation device together among organizations not only the National Police Agency but also, National Organization, National Intelligence Service, the prosecution, Presidential Security Service Guard, Army etc.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.11
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• pp.2866-2879
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• 2012

Among the various security threats in online games, the use of game bots is the most serious problem. Previous studies on game bot detection have proposed many methods to find out discriminable behaviors of bots from humans based on the fact that a bot's playing pattern is different from that of a human. In this paper, we look at the chatting data that reflects gamers' communication patterns and propose a communication pattern analysis framework for online game bot detection. In massive multi-user online role playing games (MMORPGs), game bots use chatting message in a different way from normal users. We derive four features; a network feature, a descriptive feature, a diversity feature and a text feature. To measure the diversity of communication patterns, we propose lightly summarized indices, which are computationally inexpensive and intuitive. For text features, we derive lexical, syntactic and semantic features from chatting contents using text mining techniques. To build the learning model for game bot detection, we test and compare three classification models: the random forest, logistic regression and lazy learning. We apply the proposed framework to AION operated by NCsoft, a leading online game company in Korea. As a result of our experiments, we found that the random forest outperforms the logistic regression and lazy learning. The model that employs the entire feature sets gives the highest performance with a precision value of 0.893 and a recall value of 0.965.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.169-176
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• 2020

With widespread use of information technologies the importance of information security has been heightened. Security policies which deal with fundamental direction of information security are critical elements of information security management. Numerous studies have been conducted on users' intention to comply security policies. They were based on various theoretical foundations and the theory of planned behavior(TPB) was the most frequently used. This research employed one of the quantitatively synthesizing meta-analytic techniques called Two-Stage Structural Equation Modeling to investigate factors influencing information security policy compliance behavior based on TPB. Analysis results indicated that all three factors of TPB were significantly influencing the behavioral intention. Moreover, the overall fit indices of structural model exhibited satisfactory level.

• Convergence Security Journal
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• v.16 no.5
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• pp.41-48
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• 2016

In this paper we propose a new method of security visualization, VisFlow, using traffic flows to solve the problems of existing traffic flows based visualization techniques that were a loss of end-to-end semantics of communication, reflection problem by symmetrical address coordinates space, and intuitive loss problem in mass of traffic. VisFlow, a simple and effective security visualization interface, can do a real-time analysis and monitoring the situation in the managed network with visualizing a variety of network behavior not seen in the individual traffic data that can be shaped into patterns. This is a way to increase the intuitiveness and usability by identifying the role of nodes and by visualizing the highlighted or simplified information based on their importance in 2D/3D space. In addition, it monitor the network security situation as a way to increase the informational effectively using the asymmetrical connecting line based on IP addresses between pairs of nodes. Administrator can do a real-time analysis and monitoring the situation in the managed network using VisFlow, it makes to effectively investigate the massive traffic data and is easy to intuitively understand the entire network situation.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.12B
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• pp.1481-1488
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• 2011

Recently, Hacking Attacks are appearing as a various Attack techniques with evolution of the Network. and most of the network through a Various Security Systems are responding to an attack. In addition, it should be placed adding the Security Systems to protect the Internal Network's Information assets from External attacks. But, The use of Security Systems inside the network makes a significant impact on Security and Performance, as well as a result causes Economic Additional Costs. Therefore, In this paper, it will be to analyze by associated a case study and experimental results about the Additional Costs Factors(Variable situations difficult to predict and Information Security Recognition levels, Security Systems, Information Asset Assessment). This is expected to serve as a valuable Information for the Reduction of an Costs in a Network deployment and Design in a future.

• Journal of Internet Computing and Services
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• v.16 no.5
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• pp.1-9
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• 2015

As attacks in cyber space become advanced and complex, monotonous defense approach of one-one matching manner between attack and defense may be limited to defend them. More efficient defense method is required. This paper proposes multi layers security scheme that can support to defend assets against diverse cyber attacks in systematical and adaptive. We model multi layers security scheme based on Defense Zone including several defense layers and also discuss essential technical elements necessary to realize multi layers security scheme such as cyber threats analysis and automated assignment of defense techniques. Also effects of multi layers security scheme and its applicability are explained. In future, for embodiment of multi layers security scheme, researches about detailed architecture design for Defense Zone, automated method to select the best defense technique against attack and modeling normal state of asset for attack detection are needed.

• Convergence Security Journal
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• v.18 no.3
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• pp.77-85
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• 2018

With the convergence of communications network between control system and public network, such threats like information leakage/falsification could be fully shown in control system through diverse routes. Due to the recent diversification of security issues and violation cases of new attack techniques, the security system based on the information database that simply blocks and identifies, is not good enough to cope with the new types of threat. The current control system operates its security system focusing on the outside threats to the inside, and it is insufficient to detect the security threats by insiders with　the authority of security access. Thus, this study conducted the importance analysis based on the main event log list of "Spotting the Adversary with Windows Event Log Monitoring" announced by NSA. In the results, the matter of importance of event log for the detection of insider threats to control system was understood, and the results of this study could be contributing to researches in this area.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.2
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• pp.51-59
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• 2007

Software testing is the process of analyzing a software item to detect the differences between existing and required conditions and to evaluate the features of the software item. A traditional testing focuses on proper functionality, not security testing. Fuzzing is a one of many software testing techniques and security testing. Fuzzing methodology has advantage that low-cost, efficiency and so on. But fuzzing has defects such as intervening experts. Also, if there is no specification, fuzzing is impossible. ROAD Tool is automated testing tool for RPC(Remote Procedure Call) based protocol and software without specification. Existing tools are semi-automated. Therefore we must modify these tools. In this paper, we design and implement ROAD tool. Also we verify utility in testing results.