• KIPS Transactions on Software and Data Engineering
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• v.3 no.6
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• pp.237-242
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• 2014

Current digital door lock systems are mainly designed for users' convenience, so they have weakness in security. Thus, this paper suggests a video digital doorlock system grouped with a relay device, a server, and a digital doorlock with a camera, sensors, and communication modules, which is detecting or recognizing objects approaching to the front of the door lock system and sending images and door-opening information to users' smart devices. Experiments showed that the suggested system has 96~98% recognition rate of approaching objects and requires 17.1~23.9 seconds for transmission on average, depending on network systems. Therefore, the system is thought to have enough capability for real time security response by monitoring the front area of the doorlock system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.8B
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• pp.727-734
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• 2008

Recently, Network technology evolve out of expansion a scale of Network and development various Service. also Hacking skill. We have applied to various Security Systems to make a counterattack on this hacking skill. and A Firewall among these security systems is very effective a defense against in the Outbound Network attack. so we need certainly a Firewall to protect a network. But this Conventional Firewall has an directly effect on reduction to the Performance and Security of Inbound Network. and have no effect on a Inner Network Attacking. In this paper, I propose to a "Functional Firewall" as a Secure Objects for the enhancement Performance and Security of Inbound Network.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.3
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• pp.595-602
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• 2015

One of the challenges of the digital forensics is how to handle certain amounts of data efficiently. Although reliable and various approximate matching algorithms have been presented to quickly identify similarities between digital objects, its practical effectiveness to identify the semantic similarity is low because of frequent false positives. To solve this problem, we suggest adding a pre-processing of the approximate matching target dataset to increase matching accuracy while maintaining the reliability of the approximate matching algorithm. To verify the effectiveness, we experimented with two datasets of eml and hwp using sdhash in order to identify the semantic similarity.

• Journal of Information Processing Systems
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• v.16 no.4
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• pp.975-990
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• 2020

Nowadays, the Internet of Things (IoT) network, is increasingly becoming a ubiquitous connectivity between different advanced applications such as smart cities, smart homes, smart grids, and many others. The emerging network of smart devices and objects enables people to make smart decisions through machine to machine (M2M) communication. Most real-world security and IoT-related challenges are vulnerable to various attacks that pose numerous security and privacy challenges. Therefore, IoT offers efficient and effective solutions. intrusion detection system (IDS) is a solution to address security and privacy challenges with detecting different IoT attacks. To develop an attack detection and a stable network, this paper's main objective is to provide a comprehensive overview of existing intrusion detections system for IoT environment, cyber-security threats challenges, and transparent problems and concerns are analyzed and discussed. In this paper, we propose software-defined IDS based distributed cloud architecture, that provides a secure IoT environment. Experimental evaluation of proposed architecture shows that it has better detection and accuracy than traditional methods.

• Asia Pacific Journal of Corpus Research
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• v.3 no.2
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• pp.17-33
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• 2022

While the term is nothing new, 'cybersecurity' still seems to be defined quite loosely and subjectively depending on context. This is problematic especially to legal writers for prosecuting cybercrimes that do not fit a particular clause/act. In fact, what is more difficult is the non-existent single 'cybersecurity law' in Malaysia, rather than the current implementation of 10-related cyber security acts. In this paper, the 10 acts are compiled into a corpus to analyse the language used in these acts via a corpus linguistics approach. A list of frequent words is firstly investigated to see whether the so-called related laws do talk about cybersecurity followed by close inspection of the concordance lines and habitually associated phrases (clusters) to explore use of these words in context. The 'compare 2 wordlist' feature is used to identify similarities or differences between the 10 Malaysian cybersecurity related laws against a corpus of cyber laws from other ASEAN countries. Findings revealed that ASEAN cyber laws refer mostly to three cybersecurity dominant themes identified in the literature: technological solutions, events, and strategies, processes, and methods, whereas Malaysian cybersecurity-related laws revolved around themes like human engagement, and referent objects (of security). Although these so-called cyber related policies and laws in Malaysia are highlighted in the National Cyber Security Agency (NACSA), their practical applications to combat cybercrimes remain uncertain.

• Journal of the Korea Convergence Society
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• v.7 no.6
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• pp.237-247
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• 2016

This study analyzed quantitative effects of ISMS certification. To measure the company value change the stock data was used and the methodology of event study was also applied. Event study methodology is a method of analyzing the effects of information or public announcement about certain events on the stock market through abnormal return of stock price. First, ISMS certification was acquired followed by the measurement of abnormal excess return of company. Based on the increase or decrease of abnormal excess return, the group was classified. There are 3 types of groups("Increase", "Reduce", "Maintain"). Next, the cluster analysis was performed for each group. Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups(clusters). The purpose of this study is to have a quantitative measurement of performance of ISMS certification. So, the result of this study will be promoted a company's ISMS certification acquisition. And it would further be beneficial to your company's information security activities.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.131-137
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• 2010

UMSN (Ubiquitous Medical Sensor Network) is being used in u-Healthcare system of various medical facilities to identify objects and get information from sensors in real-time. RFID using radio frequency determines objects using Reader, which reads Tags attached to patients. However, there is a security vulnerability wherein Tag send its ID to illegal Reader because Tags always response to Readers request regarding of its Tag ID. In this paper, we propose Tag ID Classification Scheme to reduce Back-end Server traffic that caused by requests to authenticate between Readers and Tags that are attached to medical devices, patients, and sensors; To reduce security threats like eavesdropping and spoofing that sometimes occurred during authentication procedure. The proposed scheme specifies the patient category as a group based on patients Tag ID string. Only allowed Reader can perform authentication procedure with Back-end Server. As a result, we can reduce Back-end Server traffic and security threats.

• The Korean Journal of Air & Space Law and Policy
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• v.26 no.2
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• pp.69-100
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• 2011

The penalty clauses of 'Aviation Act' and 'Aviation Safety and Security Act' going into effect now were legislated because the aviation safety is being more influenced by the aviation safety system compared to the ground or maritime transportation and it is possible the aircraft can harm to people and wealth located in the ground as well as threaten the safety of the passengers and crew on board when it is the target of crimes. However, analyzing the current acts, applicable objects and behavioral requirements of some provisions are too general, and they are providing severely high penalties in many clauses without separating applicable objects and behavioral requirements. In addition, there are some critical legislative defects and there is a problem in terms of law-applicable area in the legal system. It is inferred that these legislative problems of the criminal special-law related to the aviation were caused by following reasons; first, aviation security experts or policy-makers than criminal law experts attended more actively in the enactment process, second, the communication among specialist groups were not accomplished well enough.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.20 no.1
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• pp.1-11
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• 2002

This study set up a purpose in the efficient utilization of security target objects. This purpose is the following: Firstly, this study analyzed problem about deleted areas for security described on aerial photography image. Secondly, this study made clustering and labeling to recognize censored areas of image. Finally, this study tried to maximize various utilizability of digital image data through postprocessing algorithm. Based on these courses, the results of this study appeared that brightness value of image increased depending on topography and quantities of topographic features. It was estimated that these was able to utilized by useful estimative data in judging information of topography and topographic features included in the total image. Besides, in the image recognition and postprocessing, the better result value was not elicited than in a mountainous region. Because it was included that a lots of topography and topographic features was similarly recognized with the process for deletion of the existing security target objects in urban and suburb region. This result appeared that the topography and quantities of topographic features absolutely affected the recognition and processing of image.

• Convergence Security Journal
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• v.2 no.1
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• pp.77-86
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• 2002

In this paper, we propose a segmentation algorithm that can reliably separate moving objects from noisy background in the image sequence received from a camera at the fixed position. Image segmentation is one of the most difficult process in image processing and an adoption in the change of environment must be considered for the increase in the accuracy of the image. The proposed algorithm consists of four process : generation of the difference image between the input image and the reference image, removes the background noise using the background nois modeling to a difference image histogram, then selects the candidate initial region using local maxima to the difference image, and gradually expanding the connected regions, region by region, using the shape information. The test results show that the proposed algorithm can detect moving objects like intruders very effectively in the noisy environment.