• Title/Summary/Keyword: Security Measure

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A Fully Integrated CMOS Security-Enhanced Passive RFID Tag

  • Choi, Suna;Kim, Hyunseok;Lee, Sangyeon;Lee, Kangbok;Lee, Heyungsub
    • ETRI Journal
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    • v.36 no.1
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    • pp.141-150
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    • 2014
  • A fully integrated CMOS security-enhanced passive (SEP) tag that compensates the security weakness of ISO/IEC 18000-6C is presented in this paper. For this purpose, we propose a security-enhanced protocol that provides mutual authentication between tag and reader. We show that the proposed protocol meets the security demands of the ongoing international standard for RFID secure systems, ISO/IEC 29167-6. This paper fabricates the SEP tag with a 0.18-${\mu}m$ CMOS technology and suggests the optimal operating frequency of the CMOS SEP tag to comply with ISO/IEC 18000-6C. Furthermore, we measure the SEP tag under a wireless environment. The measured results show that communications between the SEP tag and reader are successfully executed in both conventional passive and SEP modes, which follow ISO/IEC 18000-6C and the proposed security enhanced protocol, respectively. In particular, this paper shows that the SEP tag satisfies the timing link requirement specified in ISO/IEC 18000-6C.

Survey on the use of security metrics on attack graph

  • Lee, Gyung-Min;Kim, Huy-Kang
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.12
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    • pp.95-105
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    • 2018
  • As the IT industry developed, the information held by the company soon became a corporate asset. As this information has value as an asset, the number and scale of various cyber attacks which targeting enterprises and institutions is increasing day by day. Therefore, research are being carried out to protect the assets from cyber attacks by using the attack graph to identify the possibility and risk of various attacks in advance and prepare countermeasures against the attacks. In the attack graph, security metric is used as a measure for determining the importance of each asset or the risk of an attack. This is a key element of the attack graph used as a criterion for determining which assets should be protected first or which attack path should be removed first. In this survey, we research trends of various security metrics used in attack graphs and classify the research according to application viewpoints, use of CVSS(Common Vulnerability Scoring System), and detail metrics. Furthermore, we discussed how to graft the latest security technologies, such as MTD(Moving Target Defense) or SDN(Software Defined Network), onto the attack graphs.

Efficiency Analysis of Social Security Expenditure in 31 Provinces and Autonomous Regions in China

  • ZHOU, Lin-Lin;KIM, Hyung-Ho
    • East Asian Journal of Business Economics (EAJBE)
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    • v.9 no.2
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    • pp.1-10
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    • 2021
  • Purpose - The purpose of this study is to measure the efficiency of social security expenditure in 31 provinces, cities and autonomous regions in China and proposes corresponding improvement plans. Research design, data, and methodology - The data were obtained from the statistical yearbook of each province. The BCC and CCR models of DEA model and Malmquist index are used to analyze the efficiency, and the input-output index is expanded. Result - The results show that the social security performance of the Chinese government has improved on the whole despite the unbalanced development in different regions. Each region should look for strategies to improve the efficiency of social security according to its own problems. The study suggests that provinces affected by TCI should improve their internal environment, such as raising social security fund structure and strengthening fund supervision, to improve efficiency. Areas affected by TECI need to be more responsive to policy, socio-economic and technological development. Conclusion - The research conclusion can provide reference for Chinese provinces to improve the efficiency of social security expenditure in the future. This study is not comprehensive enough in the selection of input-output indicators, which can be further expanded in the future.

Cloud and Fog Computing Amalgamation for Data Agitation and Guard Intensification in Health Care Applications

  • L. Arulmozhiselvan;E. Uma
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.3
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    • pp.685-703
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    • 2024
  • Cloud computing provides each consumer with a large-scale computing tool. Different Cyber Attacks can potentially target cloud computing systems, as most cloud computing systems offer services to many people who are not known to be trustworthy. Therefore, to protect that Virtual Machine from threats, a cloud computing system must incorporate some security monitoring framework. There is a tradeoff between the security level of the security system and the performance of the system in this scenario. If strong security is needed, then the service of stronger security using more rules or patterns is provided, since it needs much more computing resources. A new way of security system is introduced in this work in cloud environments to the VM on account of resources allocated to customers are ease. The main spike of Fog computing is part of the cloud server's work in the ongoing study tells the step-by-step cloud server to change the tremendous measurement of information because the endeavor apps are relocated to the cloud to keep the framework cost. The cloud server is devouring and changing a huge measure of information step by step to reduce complications. The Medical Data Health-Care (MDHC) records are stored in Cloud datacenters and Fog layer based on the guard intensity and the key is provoked for ingress the file. The monitoring center sustains the Activity Log, Risk Table, and Health Records. Cloud computing and Fog computing were combined in this paper to review data movement and safe information about MDHC.

A Study on Evaluation for Network Security Performance and Property (네트워크 보안성능 및 보안성 평가에 관한 연구)

  • 황선명;정연서;서동일
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.10a
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    • pp.712-715
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    • 2003
  • The rapid progress of computer networking technology is changing the environment of today's business and its influence is spreading out widely. Although the practical use of business system using the internet technology is providing easy going infrastructures, many security problems of data or equipment in the open field will be exposed if we do not give serious considerations to their securities. In this paper, we suggest advanced methods to measure the network security capability with considerations for the security of data or equipments.

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IP Camera Hacking Analysis And Measure (IP카메라 해킹 분석과 대책)

  • Han, Sang-Hoon;Jang, Jin-Hui;Kang, Gil-Uk;Park, Han-Sol
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.01a
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    • pp.165-166
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    • 2018
  • IP카메라는 CCTV와 달리 값도 저렴하고 네트워크와 연결돼 PC와 스마트 폰을 통해서 실시간 조회 및 제어가 가능한 카메라이다. 이러한 장점에 힘입어 일반 가정이나 매장 등에서 도난 방지 및 감시를 위해 IP 카메라를 사용하는 사람들이 급격히 증가하고 있으며, 이에 따라 해킹을 통한 사생활 침해 문제도 같이 증가하고 있다. 이는 사용자들의 보안 인식이 턱없이 부족해 전문가가 아니더라도 손쉽게 프로그램과 사이트를 이용하여 해킹이 가능하기 때문인 것으로 사료된다. 따라서 본 논문에서는 해킹이 얼마나 쉽게 이뤄지는지, 어떠한 피해가 있는지, 그리고 이에 대한 해결방안을 제안한다.

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Design On Secure Messenger Mechanism Using Elliptic Curve Cryptography and IPSec

  • Choi Gwang-Mi;Park Su-Young;Kim Hyeong-Gyun
    • Journal of information and communication convergence engineering
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    • v.2 no.3
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    • pp.182-186
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    • 2004
  • When most of existing instant messengers log on server, they transmit to sever in encoding password to RC5. but RC5 don't be secured because it has been known many of password cracking tools. Also, messengers don't have any protection on the transmitted information with communicating two hosts since loging on, endangering the privacy of the user. As a counter measure, messengers need to provide security service including message encryption. In this paper, we designed a key exchange method of password representing fast, effective and high security degree, using ECC(Elliptic Curve Cryptography) that being known the very stronger than another public key cryptography with same key size. To effectively improve data transmission and its security using IPSec protocol between users, tunnel mode is introduced. Tunnel mode transmits Host-to-Host data through virtual pipelines on the Internet.

An extended Access Control with Uncertain Context

  • Kang, Woojun
    • International journal of advanced smart convergence
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    • v.7 no.4
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    • pp.66-74
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    • 2018
  • While new information technology advances have made information access and acquisition methods much more diverse and easier, there are side effects that allow illegal access using diverse and high-performance tools. In order to cope with such threats, there are access control methods in database technology, and various studies are being conducted to extend traditional access control to cope with new computing environments. In this paper, we propose an extended access control with uncertain context-awareness. It enables appropriate security policy enforcement even if the contextual constraints specified by the security policy does not match those accompanied by access request query. We extract semantic implications from context tree, and define the argument that can quantitatively measure the semantic difference between two nodes in the context tree. It is used to semantically enforce the security policy, and to prevent the excessive authorization caused by the implication.

A DDoS attack Mitigation in IoT Communications Using Machine Learning

  • Hailye Tekleselase
    • International Journal of Computer Science & Network Security
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    • v.24 no.4
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    • pp.170-178
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    • 2024
  • Through the growth of the fifth-generation networks and artificial intelligence technologies, new threats and challenges have appeared to wireless communication system, especially in cybersecurity. And IoT networks are gradually attractive stages for introduction of DDoS attacks due to integral frailer security and resource-constrained nature of IoT devices. This paper emphases on detecting DDoS attack in wireless networks by categorizing inward network packets on the transport layer as either "abnormal" or "normal" using the integration of machine learning algorithms knowledge-based system. In this paper, deep learning algorithms and CNN were autonomously trained for mitigating DDoS attacks. This paper lays importance on misuse based DDOS attacks which comprise TCP SYN-Flood and ICMP flood. The researcher uses CICIDS2017 and NSL-KDD dataset in training and testing the algorithms (model) while the experimentation phase. accuracy score is used to measure the classification performance of the four algorithms. the results display that the 99.93 performance is recorded.

An Evaluation Method on Intrusion Detection System using Fuzzy Integrals (퍼지적분을 이용한 침입탐지시스템 평가방법)

  • 김미혜
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.14 no.2
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    • pp.113-121
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    • 2004
  • In a result that the types of intrusion detection are getting diverse in accordance with rapid internet sprawl, many intrusion detection systems have been developed. In this paper, we will propose a novel evaluation on the evaluation criteria for the intrusion detection systems using Fuzzy integrals