• ETRI Journal
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• v.29 no.5
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• pp.619-632
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• 2007

Side channel attacks are a very serious menace to embedded devices with cryptographic applications. To counteract such attacks many randomization techniques have been proposed. One efficient technique in elliptic curve cryptosystems randomizes addition chains with binary signed digit (BSD) representations of the secret key. However, when such countermeasures have been used alone, most of them have been broken by various simple power analysis attacks. In this paper, we consider combinations which can enhance the security of countermeasures using BSD representations by adding additional countermeasures. First, we propose several ways the improved countermeasures based on BSD representations can be attacked. In an actual statistical power analysis attack, the number of samples plays an important role. Therefore, we estimate the number of samples needed in the proposed attack.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.43-52
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• 2021

IoT applications are quickly spread in many fields. Blockchain methods(BC), defined as a distributed sharing mechanism, offer excellent support for IoT evolution. The BC provides a secure way for communication between IoT devices. However, the IoT environments are threatened by hacker attacks and malicious intrusions. The IoT applications security are faced with three challenges: intrusions and attacks detection, secure communication, and compressed storage information. This paper proposed a system based on double-blockchain to improve the communication transactions' safety and enhance the information compression method for the stored data. Information security is enhanced by using an Ellipse Curve Cryptography(ECC) considered in a double-blockchain case. The data compression is ensured by the Compressed Sensing(CS) method. The conducted experimentation reveals that the proposed method is more accurate in security and storage performance than previous related works.

• ETRI Journal
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• v.43 no.3
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• pp.549-560
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• 2021

Cyberattacks are often difficult to identify with traditional signature-based detection, because attackers continually find ways to bypass the detection methods. Therefore, researchers have introduced artificial intelligence (AI) technology for cybersecurity analysis to detect malicious PowerShell scripts. In this paper, we propose a feature optimization technique for AI-based approaches to enhance the accuracy of malicious PowerShell script detection. We statically analyze the PowerShell script and preprocess it with a method based on the tokens and abstract syntax tree (AST) for feature selection. Here, tokens and AST represent the vocabulary and structure of the PowerShell script, respectively. Performance evaluations with optimized features yield detection rates of 98% in both machine learning (ML) and deep learning (DL) experiments. Among them, the ML model with the 3-gram of selected five tokens and the DL model with experiments based on the AST 3-gram deliver the best performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.1
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• pp.120-144
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• 2023

With the expansion of digital communication networks, a considerable number of randomization techniques have been invented and implemented to enhance the different data transmission algorithms' levels of security. Steganography is among the data transmissions techniques used to hide secret data. Nowadays, several randomization techniques have been used in steganography to elevate the security of transmitted data. Unfortunately, the majority of these techniques lack some simplicity, efficiency, and flexibility, in addition to other limitations. This research presents a new randomization technique called Rand-Stego. Rand-Stego could be applied/practiced over any steganography technique. It provides simplicity and efficiency and elevates the security level. Examples of implementing the proposed technique on some steganography algorithms will be explored. The proposed and current techniques will be compared. The obtained results show Rand-Stego's superiority in terms of efficiency and flexibility when compared to the current techniques.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.7
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• pp.2892-2913
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• 2016

Network virtualization promises to play a dominant role in shaping the future Internet by overcoming the Internet ossification problem. However, due to the injecting of additional virtualization layers into the network architecture, several new security risks are introduced by the network virtualization. Although traditional protection mechanisms can help in virtualized environment, they are not guaranteed to be successful and may incur high security overheads. By performing the virtual network (VN) embedding in a security-aware way, the risks exposed to both the virtual and substrate networks can be minimized, and the additional techniques adopted to enhance the security of the networks can be reduced. Unfortunately, existing embedding algorithms largely ignore the widespread security risks, making their applicability in a realistic environment rather doubtful. In this paper, we attempt to address the security risks by integrating the security factors into the VN embedding. We first abstract the security requirements and the protection mechanisms as numerical concept of security demands and security levels, and the corresponding security constraints are introduced into the VN embedding. Based on the abstraction, we develop three security-risky modes to model various levels of risky conditions in the virtualized environment, aiming at enabling a more flexible VN embedding. Then, we present a mixed integer linear programming formulation for the VN embedding problem in different security-risky modes. Moreover, we design three heuristic embedding algorithms to solve this problem, which are all based on the same proposed node-ranking approach to quantify the embedding potential of each substrate node and adopt the k-shortest path algorithm to map virtual links. Simulation results demonstrate the effectiveness and efficiency of our algorithms.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.4
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• pp.117-131
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• 2022

Human rights education is to acquire understanding and knowledge about human rights, to develop values, attitudes and character that respect human rights, to develop the ability to overcome human rights violations and discriminatory acts, and to protect and promote the human rights of others. In order to prevent human rights violations of the transportation vulnerable, such as the disabled, it is necessary to develop specialized human rights education plans for aviation security personnel to practice human rights perspectives. Therefore, in accordance with the 「National Civil Aviation Security Education and Training Guidelines」, specialized human rights education should be included in the initial aviation security education and regular education courses. The point is that there is a need to reexamine the aviation security education program for aviation security personnel based on the essential knowledge and educational contents for aviation security personnel to perform security screening tasks in the aviation security education course. When this happens, various efforts must be made to improve the human rights of the transportation vulnerable, such as the disabled, during the security screening process, so that human rights violations will be significantly reduced. In particular, it is necessary to enhance the ability to detect dangerous terrorist items such as weapons or explosives that can be used for illegal sabotage through practical security screening training. For aviation security and aircraft safety, efforts to improve the quality of aviation security personnel training, such as human rights training, must be continuously made while thoroughly preparing for terrorism in advance.

• Convergence Security Journal
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• v.17 no.1
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• pp.101-109
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• 2017

The Internet of things is a system that connects and communicates all sorts of things such as people, objects, and data. It's to create and share information by its own each other. It can be used to enhance the function of private security and has brought about innovative development of private security. The Internet of things is a system that allows devices connected to the Internet to communicate independently of people-objects, objects-objects connected to the Internet. That and can be used in many industries, especially in the private security sector, its value is high. The use of the Internet of things to private security sector can reinforce security zones with always-on surveillance systems, also be enhanced by its own preparedness and response to the situation. However, this study will discusse the application and development of private security in the Internet of things. The practical application of the virtual space is an immediate task and it is also an essential factor in securing security.

• The Journal of Society for e-Business Studies
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• v.24 no.2
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• pp.113-124
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• 2019

Today many companies are offering IoT-enabled products and place emphasis on security from the planning stage to protect their products and user information from external threats. The present security levels, however, remain low because the time and resources invested in developing security requirements for each device are far from enough to meet the needs of a wide range of IoT products. Nevertheless, vulnerabilities of IoT devices have been reported continuously, which calls for more detailed security requirements for home IoT devices. In this context, this research identified threats of home IoT systems by using Microsoft Threat Modeling Tool. It then suggested measures to enhance the security of home IoT devices by developing security assessment items through comparative analysis of the identified threats, domestic and global vulnerability assessment standards and related research. It also verified the effectiveness of the developed security requirements by testing them against the existing ones, and the results revealed the security requirements developed in this research proved to be more effective in identifying vulnerabilities.

• Korean Security Journal
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• no.57
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• pp.85-110
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• 2018

The bodyguard is continuously training basic physical training and security art martial to protect the privacy of security target, prepare and deal with external contingencies and threats. Currently, university students majoring in security are required to take a judo class, one of their security art martial, which can use a technology to catch, crush and repress opponent. Therefore, this study identified the effects of systematic training on body composition, Performance fitness, growth hormones, and IGF-1 among male university students through a 10-week judo training program so that it was committed to providing objective data to enhance the value of judo as a security art martial and as a result, we have a conclusion as follows: After 10 weeks of judo training, muscle mass increased significantly, and body fat rate and BMI decreased significantly. The muscular strength and power of Performance fitness were shown to increase significantly, and growth hormones were shown to increase significantly. In total, the above results showed that for judo training university students, overall body composition improved positively, the muscular strength and power of active physical fitness improved, and growth hormones increased. Thus, the increase in muscle strength and growth hormones through judo training will encourage fat breakdown due to the development of the body's muscles and increase bone density in the spine, thereby reducing the risk of fractures and preventing injury to the trainees who are performing a security art martial. It will also greatly help your health by preventing obesity, cardiovascular and metabolic diseases, which eventually will enhance your bodyguard function and prolong your life as a bodyguard.

• International Journal of Computer Science & Network Security
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• v.24 no.3
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• pp.23-28
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• 2024

The multi-tenancy and high scalability of the cloud have inspired businesses and organizations across various sectors to adopt and deploy cloud computing. Cloud computing provides cost-effective, reliable, and convenient access to pooled resources, including storage, servers, and networking. Cloud service models, SaaS, PaaS, and IaaS, enable organizations, developers, and end users to access resources, develop and deploy applications, and provide access to pooled computing infrastructure. Despite the benefits, cloud service models are vulnerable to multiple security and privacy attacks and threats. The SaaS layer is on top of the PaaS, and the IaaS is the bottom layer of the model. The software is hosted by a platform offered as a service through an infrastructure provided by a cloud computing provider. The Hypertext Transfer Protocol (HTTP) delivers cloud-based apps through a web browser. The stateless nature of HTTP facilitates session hijacking and related attacks. The Open Web Applications Security Project identifies web apps' most critical security risks as SQL injections, cross-site scripting, sensitive data leakage, lack of functional access control, and broken authentication. The systematic literature review reveals that data security, application-level security, and authentication are the primary security threats in the SaaS model. The recommended solutions to enhance security in SaaS include Elliptic-curve cryptography and Identity-based encryption. Integration and security challenges in PaaS and IaaS can be effectively addressed using well-defined APIs, implementing Service Level Agreements (SLAs), and standard syntax for cloud provisioning.