• Journal of Korea Multimedia Society
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• v.5 no.2
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• pp.191-197
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• 2002

In this paper, we propose a stream cipher using a cellular automata. For the security evaluation, we use the statistical tests suggested on the report of FIPS PUB 140-2 and additionally, we apply entropy test, linear complexity test and auto-correlation test which are popular statistical tests for the output sequences of stream ciphers.

• Journal of the Korean Professional Engineers Association
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• v.42 no.3
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• pp.35-40
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• 2009

After the yield of North Korea conducted underground the first nuclear test in 2006, which was less than a kiloton, it launched a vehicle on this April 9 again, which is believed to be a Taepo-dong 2 missile, defying international warnings that the move would violate U.N. resolutions, from Musudan-ni, North Korea. Its development and proliferation of ballistic missile and nuclear bomb technology pose a threat to the northeast Asian region and to international peace and security. In the other launching the missile, a newspaper reported that "While the launch was dubbed a failure by the U.S., it was an improvement over the North Koreans' July 2006 test of the Taepodong-2, said Green of the Center for Strategic and International Studies. "It was definitely better than last time, but it's still not an operational system," Green said.

• International Journal of Advanced Culture Technology
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• v.7 no.3
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• pp.134-142
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• 2019

As the 4th industry has been widely distributed, there is a need for a process of real-time image recognition in various fields such as identification of company employees, security maintenance, and development of military weapons. Therefore, in this paper, we will propose an algorithm that effectively recognizes a test object by comparing it with the DB model. The proposed object recognition system first expresses the outline of the test object as a set of vertices with the distances of predefined length or more. Then, the degree of matching of the structures of the two objects is calculated by examining the distances to the outline of the DB model from the vertices constituting the test object. Because the proposed recognition algorithm uses the outline of the object, the recognition process is easy to understand, simple to implement, and a satisfactory recognition result is obtained.

• Journal of the Korea Institute of Military Science and Technology
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• v.25 no.3
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• pp.267-274
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• 2022

The Republic of Korea has a close cooperative relationship with NATO, of which the United States is a member. NATO is encouraged to follow UHF coalition waveforms for military air operations(SATURN) as defined in STANAG 4372. SATURN is a high-speed frequency hopping waveform with enhanced anti-jamming and security functions. Plans to improve the performance of existing military aircraft with air to ground radios to which SATURN function is applied. IFF case analysis and MRT evaluation plan were established to present an efficient test and evaluation plan for air to ground radios.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.9
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• pp.215-224
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• 2012

Using password on system is easy to build and shorten the access time to authorize user, which is high in use for vary system that requires users' authorization. Many input device are able to perform the password system easily, such as PC, smart-phone, tablet PC, etc. Beside the high usability of password, physical attack occurs when user put their password on the device, known as Shoulder Surfing attack. It used to be formed in numbers, characters or mix of different kinds, but new kind of password arose. Exploiting image or making scenarios are those kinds which are able to reflect users' intentions. Not many estimation exists for new password, so there's need to be standard for those new password for highlighting usability and accessability. In this paper, we propose password system with simple image and switching key-board to test statistical method to estimate usability on the password.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.6
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• pp.1421-1433
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• 2015

For an accurate analysis through the forensic of digital devices and computer, it is a very important validation of the reliability of digital forensic tools. To verify the reliability of the tool, it is necessary to research and development of the data set to be input to the tool. In many-used Windows operating system of the computer, there is a Window forensic artifacts associated with time and system behavior. In this paper, we developed a set of data in the Windows operating system to be able to analyze all of the two Windows artifacts and we conducted a test with published digital forensic tools. Therefore, the developed data set presents the use of the following method. First, artefacts education for growing ability can be analyzed acts standards. Secondly, the purpose of tool tests for verifying the reliability of digital forensics. Lastly, recyclability for new artifact analysis.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.1
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• pp.240-259
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• 2020

Analyzing network traffic is the basis of dealing with network security issues. Most of the network security systems depend on the feature selection of network traffic data and the detection ability of malicious traffic in network can be improved by the correct method of feature selection. An FAFS method, which is short for Fuzzy Association Feature Selection method, is proposed in this paper for network malicious traffic detection. Association rules, which can reflect the relationship among different characteristic attributes of network traffic data, are mined by association analysis. The membership value of association rules are obtained by the calculation of fuzzy reasoning. The data features with the highest correlation intensity in network data sets are calculated by comparing the membership values in association rules. The dimension of data features are reduced and the detection ability of malicious traffic detection algorithm in network is improved by FAFS method. To verify the effect of malicious traffic feature selection by FAFS method, FAFS method is used to select data features of different dataset in this paper. Then, K-Nearest Neighbor algorithm, C4.5 Decision Tree algorithm and Naïve Bayes algorithm are used to test on the dataset above. Moreover, FAFS method is also compared with classical feature selection methods. The analysis of experimental results show that the precision and recall rate of malicious traffic detection in the network can be significantly improved by FAFS method, which provides a valuable reference for the establishment of network security system.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.5
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• pp.1197-1207
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• 2018

PowerShell is command line shell and scripting language, built on the .NET framework, and it has several advantages as an attack tool, including built-in support for Windows, easy code concealment and persistence, and various pen-test frameworks. Accordingly, malwares using PowerShell are increasing rapidly, however, there is a limit to cope with the conventional malware detection technique. In this paper, we propose an improved monitoring method to observe commands executed in the PowerShell and a deep learning based malware classification model that extract features from commands using Convolutional Neural Network(CNN) and send them to Recurrent Neural Network(RNN) according to the order of execution. As a result of testing the proposed model with 5-fold cross validation using 1,916 PowerShell-based malwares collected at malware sharing site and 38,148 benign scripts disclosed by an obfuscation detection study, it shows that the model effectively detects malwares with about 97% True Positive Rate(TPR) and 1% False Positive Rate(FPR).

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.6
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• pp.1313-1319
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• 2011

VoIP service by taking advantage of the current PSTN network and internet over the existing telephone network at an affordable price allows you to make voice calls to the service is being expanded. However, the security of public must be maintained for security vulnerabilities in Smart Phone VoIP case problems arise, and is likely to be attacked by hackers. In this paper, the Internet, using wired and Smart Phone VoIP services may occur during analysis of the type of incident and vulnerability analysis, the eavesdropping should conduct an attack. Smart Phone VoIP with institutional administration to analyze the vulnerability OmniPeek, AirPcap the equipment is installed in a lab environment to conduct eavesdropping attack. Packet according to the analysis and eavesdropping attacks, IP confirmed that the incident as an attack by the eavesdropping as to become the test proves. In this paper, as well as Smart Phone VoIP users, the current administration and the introduction of Smart Phone service and VoIP service as a basis for enhanced security will be provided.

• KSCI Review
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• v.14 no.2
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• pp.215-224
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• 2006

Regarding a spam attack and the interception that a spinoff is largest among Vulnerability of VoIP at these papers study. Write scenario of a spam attack regarding VoIP Vulnerability, and execute Call spam. Instant Messaging spam, Presence spam attack. A spam attack is succeeded in laboratories, and prove. and confirm damage fact of a user in proposals of a spam interception way of VoIP service, 1) INVITE Request Flood Attack 2) Black/White list, 3) Traceback, 4) Black Hole-Sink Hole, 5) Content Filtering, 6) Consent based Communication, 7) Call act pattern investigation, 8) Reputation System Propose, and prove. Test each interception plan proposed in VoIP networks, and confirm security level of a spam interception. Information protection of VoIP service is enlarged at WiBro, BcN. and to realize Ubiquitous Security through result of research of this paper contribute, and may make.