• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.6
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• pp.1657-1673
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• 2023

With the advancement of information technology, criminals employ multiple cyberspaces to promote cybercrime. To combat cybercrime and cyber dangers, banks and financial institutions use artificial intelligence (AI). AI technologies assist the banking sector to develop and grow in many ways. Transparency and explanation of AI's ability are required to preserve trust. Deep learning protects client behavior and interest data. Deep learning techniques may anticipate cyber-attack behavior, allowing for secure banking transactions. This proposed approach is based on a user-centric design that safeguards people's private data over banking. Here, initially, the attack data can be generated over banking transactions. Routing is done for the configuration of the nodes. Then, the obtained data can be preprocessed for removing the errors. Followed by hierarchical network feature extraction can be used to identify the abnormal features related to the attack. Finally, the user data can be protected and the malicious attack in the transmission route can be identified by using the Wrapper stepwise ResNet classifier. The proposed work outperforms other techniques in terms of attack detection and accuracy, and the findings are depicted in the graphical format by employing the Python tool.

• Journal of the Korea Society of Computer and Information
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• v.19 no.7
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• pp.47-57
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• 2014

In order to publicly notify the information security (Internet or Cyber) threat level, the security companies have developed the Threat Meters. As the physical security devices are getting more intelligent and can be monitored and managed through networks, we propose a physical security threat meter (PSTM) to determine the current threat level of physical security; that is a very similar compared with the one of information security. For this purpose, we investigate and prioritize the physical security events, and consider the impact of temporal correlation among multiple security events. We also present how to determine the threshold values of threat levels, and then propose a practical PSTM using the threshold based decision. In particular, we show that the proposed scheme is fully implementable through showing the block diagram in detail and the whole implementation processes with the access controller and CCTV+video analyzer system. Finally the simulation results show that the proposed PSTM works perfectly under some test scenarios.

• Convergence Security Journal
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• v.13 no.4
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• pp.77-83
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• 2013

As the network composed of numerous sensor nodes, sensor network conducts the function of sensing the surrounding information by sensor and of the sensed information. The concept of the battlefield is also changing to one that includes not only physical spaces but all areas including the networks of the nation's key industries and military facilities, energy facilities, transportation, and communication networks. In light of the changing warfare in terms of how it is conducted and what form it takes, the Korea military has to seek ways to effectively respond to threats of cyber warfare. In the past, although partial strategies on cyber warfare were studied, no research was done through the overall system flow. In this paper, key variables related to cyber warfare security are classified into personnel, management, and technology. A simple model and an extended model are suggested for each area, and based on the technology area of the extended model, formal methods are used to verify the validity and a detailed response strategy is suggested according to the identified leverage.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.1
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• pp.123-133
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• 2018

Cyber-Physical System (CPS) is a system in which a physical system and a cyber system are strongly integrated. In order to operate the target physical system stably, the CPS constantly monitors the physical system through the sensor and performs control using the actuator according to the current state. If a malicious attacker performs a forgery attack on the measured values of the sensors in order to conceal their attacks, the cyber system operated based on the collected data can not recognize the current operation status of the physical system. This causes the delay of the response of the automation system and the operator, and then more damage will occur. To protect the CPS from increasingly sophisticated and targeted attacks, countermeasures must be developed that can detect stealthy deception attacks. However, in the CPS environment composed of various heterogeneous devices, the process of analyzing and demonstrating the vulnerability to actual field devices requires a lot of time. Therefore, in this study, we propose a method of constructing the experiment environment of the PLCitM (PLC in the middle) which can verify the performance of the techniques to detect the CPS stealthy deception attack and present the experimental results.

• Nuclear Engineering and Technology
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• v.50 no.5
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• pp.780-787
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• 2018

This article presents a security module based on a field programmable gate array (FPGA) to mitigate man-in-the-middle cyber attacks. Nowadays, the FPGA is considered to be the state of the art in nuclear power plants I&C systems due to its flexibility, reconfigurability, and maintainability of the FPGA technology; it also provides acceptable solutions for embedded computing applications that require cybersecurity. The proposed FPGA-based security module is developed to mitigate information-gathering attacks, which can be made by gaining physical access to the network, e.g., a man-in-the-middle attack, using a cryptographic process to ensure data confidentiality and integrity and prevent injecting malware or malicious data into the critical digital assets of a nuclear power plant data communication system. A model-based system engineering approach is applied. System requirements analysis and enhanced function flow block diagrams are created and simulated using CORE9 to compare the performance of the current and developed systems. Hardware description language code for encryption and serial communication is developed using Vivado Design Suite 2017.2 as a programming tool to run the system synthesis and implementation for performance simulation and design verification. Simple windows are developed using Java for physical testing and communication between a personal computer and the FPGA.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.11
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• pp.1891-1908
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• 2011

Cyber-physical systems (CPSs) are an emerging discipline that involves engineered computing and communicating systems interfacing the physical world. The widespread applications of CPSs still face enormous challenges because of the lack of theoretical foundations. In this technical survey, we review state-of-the-art design techniques from various angles. The aim of this work is to provide a better understanding of this emerging multidisciplinary methodology. The features of CPSs are described, and the research progress is analyzed using the following aspects: energy management, network security, data transmission and management, model-based design, control technique, and system resource allocation. We focus on CPS resource optimization, and propose a system performance optimization model with resource constraints. In addition, some classic applications (e.g., integrating intelligent road with unmanned vehicle) are provided to show that the prospects of CPSs are promising. Furthermore, research challenges and suggestions for future work are outlined in brief.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.6
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• pp.1467-1482
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• 2017

Recently, Interests on The Fourth Industrial Revolution has been increased. In the manufacturing sector, the introduction of Smart Factory, which automates and intelligent all stages of manufacturing based on Cyber Physical System (CPS) technology, is spreading. The complexity and uncertainty of smart factories are likely to cause unexpected problems, which can lead to manufacturing process interruptions, malfunctions, and leakage of important information to the enterprise. It is emphasized that there is a need to perform systematic management by analyzing the threats to the Smart Factory. Therefore, this paper systematically identifies the threats using the STRIDE threat modeling technique using the data flow diagram of the overall production process procedure of Smart Factory. Then, using the Attack Tree, we analyze the risks and ultimately derive a checklist. The checklist provides quantitative data that can be used for future safety verification and security guideline production of Smart Factory.

• Convergence Security Journal
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• v.1 no.1
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• pp.31-35
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• 2001

Currently if we are to make a thought to depend on our fast developing information technology, a future war is necessarily to be made a situation of a cyber information warfare. A attacker in the cyber information warfare is able to make attack a military or a civil information and communication system, especially if a attack of a hacker, a virus or a electromagnetic pulse bomb at a military C4ISR system is able to make a confusion or a interruption in military operations, they are available to attack as a real time with non restrictions of physical distance, time, weather and space. While a expenditure of carrying out the cyber information warfares is the lowest expenditure, a effect of carrying out the cyber information warfares is the greatest effect in side of a interruption of information, a confusion, a terror, a pillage and crime of the people. This paper is to introduce "weapons of cyber information warfares", "offence capability of cyber information warfares about several nations" and to propose "a cyber information warfare organization" or the future knowledge warfare. the future knowledge warfare.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.6
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• pp.1447-1461
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• 2019

Evaluating battle damage after conducting an attack on selected targets during warfare is essential. However, regarding the assessment of battle damage caused by cyber-attacks, some methods available under limited circumstances have been suggested so far. Accordingly, this paper suggests a militarily applicable, comprehensive, and specific method of battle damage assessment from battle damage assessment methods in combat assessment theories from the understanding of cyberspace. By using cyberspace components, this paper classifies cyber targets, suggests the assessment methods of data damage, social cognitive damage, derived damage, and the existing battle damage assessment methods such as physical damage, functional damage, and target systems, and provides an example to demonstrate that this method is applicable to the actual past cyberattack cases.

• Convergence Security Journal
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• v.15 no.4
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• pp.113-119
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• 2015

Recent, cyber violence is increasing in a school and the severity of the problems encountered day by day. In particular, the severity of the cyber force using the smart phone is recognized as a very high and great problems socially. Cyberbullying have long damage degree and a wide range time duration against of existed physical cyber violence. Then student's affects is very seriously. Therefore, we analyzes the relationship and languages in the classroom for students to use to identify signs of cyber violence that may occur between friends in the class. And we support this information to identified parent, classroom teachers and school sheriff for prevent cyberbullying accidents in the school. For this research, we will design and implement a messenger in the cyber classroom. It have many components that are Big-data vocabulary, analyzer, and communication interface. Our proposed messenger can analyze lingual sign and friendship between students using Big-data analysis method such as text mining. It can analysis relationship by per-student, per-classroom.