• Journal of the Korean Society of Systems Engineering
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• v.19 no.2
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• pp.126-134
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• 2023

Drones are emerging as a new security threat, and the world is working to reduce them. Detection and identification are the most difficult and important parts of the anti-drone systems. Existing detection and identification methods each have their strengths and weaknesses, so complementary operations are required. Detection and identification performance in anti-drone systems can be improved through the use of artificial intelligence. This is because artificial intelligence can quickly analyze differences smaller than humans. There are three ways to utilize artificial intelligence. Through reinforcement learning-based physical control, noise and blur generated when the optical camera tracks the drone may be reduced, and tracking stability may be improved. The latest NeRF algorithm can be used to solve the problem of lack of enemy drone data. It is necessary to build a data network to utilize artificial intelligence. Through this, data can be efficiently collected and managed. In addition, model performance can be improved by regularly generating artificial intelligence learning data.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.2
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• pp.494-510
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• 2024

Internet users are exposed to sophisticated cyberattacks that intrusion detection systems have difficulty detecting. Therefore, research is increasing on intrusion detection methods that use artificial intelligence technology for detecting novel cyberattacks. Unsupervised learning-based methods are being researched that learn only from normal data and detect abnormal behaviors by finding patterns. This study developed an anomaly-detection method based on unsupervised machines and deep learning for a network intrusion detection system (NIDS). We present a hybrid anomaly detection approach based on unsupervised learning techniques using the autoencoder (AE), Isolation Forest (IF), and Local Outlier Factor (LOF) algorithms. An oversampling approach that increased the detection rate was also examined. A hybrid approach that combined deep learning algorithms and traditional machine learning algorithms was highly effective in setting the thresholds for anomalies without subjective human judgment. It achieved precision and recall rates respectively of 88.2% and 92.8% when combining two AEs, IF, and LOF while using an oversampling approach to learn more unknown normal data improved the detection accuracy. This approach achieved precision and recall rates respectively of 88.2% and 94.6%, further improving the detection accuracy compared with the hybrid method. Therefore, in NIDS the proposed approach provides high reliability for detecting cyberattacks.

• The Transactions of the Korea Information Processing Society
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• v.5 no.6
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• pp.1593-1602
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• 1998

In this paper, a hybrid firewall system using the screening router, dual-homed gateway, screened host galeway and the application level gateway is proposed, The screened host gateway is comjXlsed of screening router, DMZ and bastion host. All external input traffics are filtered by screening router with network protrcol filtering, and transmitted to the bastion host performing application level filtering, The dual homed gateway is an internlediate equipment prohibiting direct access from external users, The application level gateway is an equipment enabling transmission using only the proxy server. External users can access only through the public servers in the DMZ, but internal users can aeee through any servers, The rule base which allows Telnet only lo the adrnilllslratol is applied to manage hosts in the DMZ According to the equipmental results, denial of access was in orderof Web. Mail FTP, and Telnet. Access to another servers except for server in DMZ were denied, Prolocol c1mials of UDP was more than that of TCP, because the many hosts broadcasted to networds using BOOTP and NETBIOS, Also, the illegal Telnet and FTP that transfer to inside network were very few.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.1
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• pp.49-57
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• 2016

Recently, marine accidents such as the sinking accident Mongol freighter ship and the sinking accident of Sewol ferry in Jindo continuously happen. In order to decrease the number of these marine accidents, Korean ships are obliged to follow the AIS(Automatic Identification System) system. The AIS protocol includes all information for sailing ships. However, the standard AIS protocol does not provide any security function, In addition, it is possible to hijack the standard AIS protocol in case of using a satellite communication device called FUNcuve Dongle Pro+. Therefore, this paper analyzes weak points of the security in the standard AIS protocol. Furthermore, this paper ensures reliability by marking the MAC Address of sender and receiver for secure communication and suggests the protocol that can securely send data, using the VPN Tunnelling method. Therefore, the suggested AIS protocol provides the secure communication to the AIS protocol and protect the messages in the AIS protocol, which can serve safe voyages by decreasing the marine accidents.

• Journal of Convergence for Information Technology
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• v.7 no.2
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• pp.43-51
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• 2017

Background/Objectives : The purpose of this study is to propose a multi-threaded web crawl using queues that can solve the problem of time delay of single processing method, cost increase of parallel processing method, and waste of manpower by utilizing multiple bots connected by wide area network Design and implement. Methods/Statistical analysis : This study designs and analyzes applications that run on independent systems based on multi-threaded system configuration using queues. Findings : We propose a multi-threaded web crawler design using queues. In addition, the throughput of web documents can be analyzed by dividing by client and thread according to the formula, and the efficiency and the number of optimal clients can be confirmed by checking efficiency of each thread. The proposed system is based on distributed processing. Clients in each independent environment provide fast and reliable web documents using queues and threads. Application/Improvements : There is a need for a system that quickly and efficiently navigates and collects various web sites by applying queues and multiple threads to a general purpose web crawler, rather than a web crawler design that targets a particular site.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.4
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• pp.463-467
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• 2015

When unforeseen accidents occur in a ship, it is important to save passengers safely and remove them from the accident area quickly. To solve such a situation, site information of passengers on board always must be identified. This paper implemented a site monitoring of crews and passengers based on the BLE and PLM combination, to prepare for unexpected accidents of the ships. This system was composed of BLE tag for crews, passengers and each room, PLM networks, data server, and monitoring PC. In this system, site information derived from the tag attached to the bodies and cabins of crews and passengers are transmitted through a power line network, and monitored on the screen of a monitoring PC. The proposed system guides them into the only authorized area considering the ship security and passengers' safety, and even has a special alarm call to warn them after entering an unauthorized area. This system enables the BLE-embedded tag battery to use for a long time because the BLE consumes low electric power, and can gain an economic advantage.

• Journal of Korea Multimedia Society
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• v.15 no.2
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• pp.226-233
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• 2012

Recently, Like we saw with 3.4 DDoS Cyber Terror, a behavior of cyber terror becomes increasingly more complicated, sophisticated and larger, and there has been largely damage on industry, the general economy. For responding cyber terrors which occur in the future, we should recognize security holes of system which isn't exposed yet before attacker in advance as we anticipate and implement new technique of cyber attack which not exist hitherto. We design and implement a new technique of cyber attack; it seems to us that a server denies agent' service by altering value of registry in windows system. Network connections of agent are restricted to the new technique we suggest as the a value of registry is changed to a less value than a necessary value and there has happened packet loss by attacker.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1069-1073
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• 2016

The Internet of Things (IoT) is the interconnection of uniquely identifiable embedded computing devices within the existing Internet infrastructure. IoT is expected to offer advanced connectivity of devices, systems, and services that goes beyond machine-to-machine communications and covers a variety of protocols, domains, and applications. Key system-level features that IoT needs to support can be summarized as device heterogeneity, scalability, ubiquitous data exchange through proximity wireless technologies, energy optimized solutions, localization and tracking capabilities, self-organization capabilities, semantic interoperability and data management, embedded security and privacy-preserving mechanisms. Time information is a critical piece of infrastructure for any distributed system. Time information and time synchronization are also fundamental building blocks in the IoT. The IoT requires new paradigms for combining time and data. This paper reviews conventional time keeping mechanisms in the Internet and presents issues to be considered for combining time and data in the IoT.

• Journal of the Korean Institute of Gas
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• v.24 no.3
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• pp.1-10
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• 2020

This paper describes the development of a smart advanced metering infrastructure(AMI) architecture and services for using smart metering in gas industry. A general gas AMI system is composed of a smart gas meter, IoT network, the AMI platform, and an operation management system with security functions. The proposed gas AMI platform supports two-way communication between smart metering devices and AMI services and is applied by oneM2M standard to support interoperability between various types of metering devices and heterogeneous IoT networks. To demonstrating AMI system with the proposed platform, we installed about 2,900 smart gas meters in real environments and operated AMI systems for one year. We verified that about 94% of gas meters are normally worked and AMI services are stably operated without error or malfunction.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.4
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• pp.13-20
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• 2009

RFIDs have been used a lot of control systems such as library and security efficiently. Unlawful parking control is one of them and it will bring a lot of merit. Especially, it can be used vehicles. If a vehicle comes to unlawful parking place, reader system read the tag of a vehicle. RFID reader confirm the vehicle and record current time at the same time send information related the vehicle to the server system. After, it can be activated. If the vehicle move from unlawful parking place, RFID reader record departed time. In this paper, we proposed a monitoring system for unlawful parking cars. Especially, it is certain that this proposed modelling is very efficient and correct.