• Title/Summary/Keyword: System & Network Security

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A Traitor Tracing Using an Efficient Key Renewal in Embedded System (임베디드 시스템에서 효율적인 키 갱신을 적용한 Traitor Tracing)

  • Park, Jong-Hyuk;Lee, Deok-Gyu;Yeo, Sang-Soo;Kim, Tai-Hoon;Lee, Seung;Cho, Seong-Eon
    • Journal of Advanced Navigation Technology
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    • v.12 no.3
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    • pp.245-254
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    • 2008
  • If the broadcast message is sent, first of all, the privileged users will decode the session key by using his or her personal key, which the user got previously. The user willget the digital information through this session key. As shown above, the user will obtain messages or session keys using the keys transmitted from a broadcaster, which process requires effective ways for the broadcaster to generate and distribute keys. In addition, when a user wants to withdraw or sign up, an effective process to renew a key is required. It is also necessary to chase and check users' malicious activities or attacking others. This paper presents a method called Traitor Tracing to solve all these problems. Traitor tracing can check attackers and trace them. It also utilizes a proactive way for each user to have effective renewal cycle to generate keys.

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Sound Monitoring System of Machining using the Statistical Features of Frequency Domain and Artificial Neural Network (주파수 영역의 통계적 특징과 인공신경망을 이용한 기계가공의 사운드 모니터링 시스템)

  • Lee, Kyeong-Min;Vununu, Caleb;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.21 no.8
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    • pp.837-848
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    • 2018
  • Monitoring technology of machining has a long history since unmanned machining was introduced. Despite the long history, many researchers have presented new approaches continuously in this area. Sound based machine fault diagnosis is the process consisting of detecting automatically the damages that affect the machines by analyzing the sounds they produce during their operating time. The collected sound is corrupted by the surrounding work environment. Therefore, the most important part of the diagnosis is to find hidden elements inside the data that can represent the error pattern. This paper presents a feature extraction methodology that combines various digital signal processing and pattern recognition methods for the analysis of the sounds produced by tools. The magnitude spectrum of the sound is extracted using the Fourier analysis and the band-pass filter is applied to further characterize the data. Statistical functions are also used as input to the nonlinear classifier for the final response. The results prove that the proposed feature extraction method accurately captures the hidden patterns of the sound generated by the tool, unlike the conventional features. Therefore, it is shown that the proposed method can be applied to a sound based automatic diagnosis system.

Ransomware attack analysis and countermeasures of defensive aspects (랜섬웨어 공격분석 및 방어적 측면의 대응방안)

  • Hong, Sunghyuck;Yu, Jin-a
    • Journal of Convergence for Information Technology
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    • v.8 no.1
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    • pp.139-145
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    • 2018
  • Ransomeware is a kind of malware. Computers infected with Ransomware have limited system access. It is a malicious program that must provide a money to the malicious code maker in order to release it. On May 12, 2017, with the largest Ransomware attack ever, concerns about the Internet security environment are growing. The types of Ransomware and countermeasures to prevent cyber terrorism are discussed. Ransomware, which has a strong infectious nature and has been constantly attacked in recent years, is typically in the form of Locky, Petya, Cerber, Samam, and Jigsaw. As of now, Ransomware defense is not 100% free. However, it can counter to Ransomware through automatic updates, installation of vaccines, and periodic backups. There is a need to find a multi-layered approach to minimize the risk of reaching the network and the system. Learn how to prevent Ransomware from corporate and individual users.

A Study on the Application Technique of Realtime Bridge Monitoring System based on GNSS (GNSS 기반의 실시간 교량변위 모니터링 시스템 적용기술 연구)

  • Yeon, Sang-Ho
    • The Journal of the Korea Contents Association
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    • v.16 no.1
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    • pp.362-369
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    • 2016
  • Recently, Last to check the security status of various medium and large bridge structures using various kinds of measurement equipment, but most of the methods are used to measure and check the displacement behavior of the bridge by a certain period. In this study, receive GPS satellite signals that can be observed in real time the whole region, a bridge to automatically measure the displacement and behavior characteristics of the structure in real-time in mm over the 24 hours, the measurement information and transmits the data to the wireless network, by making use, it was applied to the real-time monitoring system in connection with a bridge to be able to automatically notify GNSS fine displacement behavior. In fact, analysis and receives the measurement data to GNSS provided in the upper bridge of the middle and large-sized aging for this purpose, measuring USN and at the same time is converted into a three-dimensional position information of a test study was conducted to monitor the bridge displacement in real time. As a result, a vertical displacement of about 0.027~0.037m at the measurement time of day of the measurement point is that the repeated and confirmed.

Fault Diagnosis System based on Sound using Feature Extraction Method of Frequency Domain

  • Vununu, Caleb;Kwon, Oh-Heum;Moon, Kwang-Seok;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.21 no.4
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    • pp.450-463
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    • 2018
  • Sound based machine fault diagnosis is the process consisting of detecting automatically the damages that affect the machines by analyzing the sounds they produce during their operating time. The collected sounds being inevitably corrupted by random disturbance, the most important part of the diagnosis consists of discovering the hidden elements inside the data that can reveal the faulty patterns. This paper presents a novel feature extraction methodology that combines various digital signal processing and pattern recognition methods for the analysis of the sounds produced by the drills. Using the Fourier analysis, the magnitude spectrum of the sounds are extracted, converted into two-dimensional vectors and uniformly normalized in such a way that they can be represented as 8-bit grayscale images. Histogram equalization is then performed over the obtained images in order to adjust their very poor contrast. The obtained contrast enhanced images will be used as the features of our diagnosis system. Finally, principal component analysis is performed over the image features for reducing their dimensions and a nonlinear classifier is adopted to produce the final response. Unlike the conventional features, the results demonstrate that the proposed feature extraction method manages to capture the hidden health patterns of the sound.

A Study on Real IP Traceback and Forensic Data Generation against Bypass Attack (우회적인 공격에 대한 실제 IP 역추적 실시와 포렌식 자료 생성)

  • Youn, Byung-Sun;Yang, Hae-Sool;Kim, Dong-Jhoon
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.1
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    • pp.143-151
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    • 2008
  • Execute IP traceback at this paper as target an intruder's attacking that Bypass Attack in order to avoid an exposure of own Real IP address Design IP traceback server and agent module, and install in Internet network system for Real IP traceback. Set up detection and chase range aggressive loop around connection arbitrariness, and attack in practice, and generate Real IP data cut off by fatal attacks after data and intrusion detection accessed general IP, and store to DB. Generate the Forensic data which Real IP confirms substance by Whois service, and ensured integrity and the reliability that buy to early legal proof data, and was devoted to of an invader Present the cyber criminal preventive effect that is dysfunction of Ubiquitous Information Society and an effective Real IP traceback system, and ensure a Forensic data generation basis regarding a judge's robe penalty through this paper study.

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Design and Implementation of Blockchain for Securing Data of National Education Information System School Life Records (교육행정정보시스템 학교생활기록부 데이터의 안정성 확보를 위한 블록체인 설계 및 구현)

  • Kim, Heekyung;Park, Namje
    • Journal of the Korea Convergence Society
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    • v.11 no.3
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    • pp.27-35
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    • 2020
  • The purpose of this study is to study the technical implementation methods to prevent problems such as the record of important educational activities of the student life record department or the continuous illegal leakage and manipulation. To this end, in this paper, by applying a private blockchain that can be participated only by a given organization or individual, it prevents outsiders from participating in the block network, and creates legitimate authority by creating two types of block data: student information block and access record block in the life record book. We proposed a block mechanism that can be registered, modified, and accessed only by authorized staff members. As a result, we have prepared an alternative to prevent forgery and alteration of the living records by third parties and to secure the integrity of the living records. If applied to the educational administrative information system, social consensus will be established that the operation and management of the life record book is reliable.

Edge-Centric Metamorphic IoT Device Platform for Efficient On-Demand Hardware Replacement in Large-Scale IoT Applications (대규모 IoT 응용에 효과적인 주문형 하드웨어의 재구성을 위한 엣지 기반 변성적 IoT 디바이스 플랫폼)

  • Moon, Hyeongyun;Park, Daejin
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.12
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    • pp.1688-1696
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    • 2020
  • The paradigm of Internet-of-things(IoT) systems is changing from a cloud-based system to an edge-based system to solve delays caused by network congestion, server overload and security issues due to data transmission. However, edge-based IoT systems have fatal weaknesses such as lack of performance and flexibility due to various limitations. To improve performance, application-specific hardware can be implemented in the edge device, but performance cannot be improved except for specific applications due to a fixed function. This paper introduces a edge-centric metamorphic IoT(mIoT) platform that can use a variety of hardware through on-demand partial reconfiguration despite the limited hardware resources of the edge device, so we can increase the performance and flexibility of the edge device. According to the experimental results, the edge-centric mIoT platform that executes the reconfiguration algorithm at the edge was able to reduce the number of server accesses by up to 82.2% compared to previous studies in which the reconfiguration algorithm was executed on the server.

Fusion of Blockchain-IoT network to improve supply chain traceability using Ethermint Smart chain: A Review

  • George, Geethu Mary;Jayashree, LS
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.11
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    • pp.3694-3722
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    • 2022
  • In today's globalized world, there is no transparency in exchanging data and information between producers and consumers. However, these tasks experience many challenges, such as administrative barriers, confidential data leakage, and extensive time delays. To overcome these challenges, we propose a decentralized, secured, and verified smart chain framework using Ethereum Smart Contract which employs Inter Planetary File Systems (IPFS) and MongoDB as storage systems to automate the process and exchange information into blocks using the Tendermint algorithm. The proposed work promotes complete traceability of the product, ensures data integrity and transparency in addition to providing security to their personal information using the Lelantos mode of shipping. The Tendermint algorithm helps to speed up the process of validating and authenticating the transaction quickly. More so in this time of pandemic, it is easier to meet the needs of customers through the Ethermint Smart Chain, which increases customer satisfaction, thus boosting their confidence. Moreover, Smart contracts help to exploit more international transaction services and provide an instant block time finality of around 5 sec using Ethermint. The paper concludes with a description of product storage and distribution adopting the Ethermint technique. The proposed system was executed based on the Ethereum-Tendermint Smart chain. Experiments were conducted on variable block sizes and the number of transactions. The experimental results indicate that the proposed system seems to perform better than existing blockchain-based systems. Two configuration files were used, the first one was to describe the storage part, including its topology. The second one was a modified file to include the test rounds that Caliper should execute, including the running time and the workload content. Our findings indicate this is a promising technology for food supply chain storage and distribution.

Image Steganography for Hiding Hangul Messages in Hybrid Technique using Variable ShiftRows (가변 ShiftRows를 이용한 하이브리드 기법에서 한글 메시지 은닉을 위한 이미지 스테가노그래피)

  • Ji, Seon-su
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.15 no.4
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    • pp.217-222
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    • 2022
  • Information plays an important role in modern society. Most of the information is processed and moved in the digital space. In cyberspace, confidential communication based on resistance and security is fundamental. It is essential to protect the information sent and received over the network. However, information may be leaked and forged by unauthorized users. The effectiveness of the existing protection system decreases as an innovative technique is applied to identify the communication contents by a third party. Steganography is a technique for inserting secret information into a specific area of a medium. Stegganography and steganalysis techniques are at odds with each other. A new and sophisticatedly implemented system is needed to cope with the advanced steganalysis. To enhance step-by-step diffusion and irregularity, I propose a hybrid implementation technique of image steganography for Hangul messages based on layered encryption and variable ShiftRows. PSNR was calculated to measure the proposed steganography efficiency and performance. Compared to the basic LSB technique, it was shown that the diffusion and randomness can be increased even though the PSNR decreased by 1.45%.