• Title/Summary/Keyword: Secure data

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A Secure Modem System (데이타 보호용 모뎀 시스템)

  • 백기진;이창순;문상재
    • Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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    • 1991.11a
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    • pp.194-203
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    • 1991
  • This paper presents the hardware development of a secure modem system for personal computers. This system consists of a data encryption system and an existing modem. The algorithm of LUCIFER-type with block size of 64-bit is used for data encryption and Diffie-Hellman method is also employed for generation of the encryption key. We implement the system in hardware using the DSP56001.

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Secure Modulus Data Hiding Scheme

  • Kuo, Wen-Chung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.3
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    • pp.600-612
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    • 2013
  • In 2006, Zhang and Wang proposed a data hiding scheme based on Exploiting Modification Direction (EMD) to increase data hiding capacity. The major benefit of EMD is providing embedding capacity greater than 1 bit per pixel. Since then, many EMD-type data hiding schemes have been proposed. However, a serious disadvantage common to these approaches is that the embedded data is compromised when the embedding function is disclosed. Our proposed secure data hiding scheme remedies this disclosure shortcoming by employing an additional modulus function. The provided security analysis of our scheme demonstrates that attackers cannot get the secret information from the stegoimage even if the embedding function is made public. Furthermore, our proposed scheme also gives a simple solution to the overflow/underflow problem and maintains high embedding capacity and good stegoimage quality.

Compressed Sensing-Based Multi-Layer Data Communication in Smart Grid Systems

  • Islam, Md. Tahidul;Koo, Insoo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.9
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    • pp.2213-2231
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    • 2013
  • Compressed sensing is a novel technology used in the field of wireless communication and sensor networks for channel estimation, signal detection, data gathering, network monitoring, and other applications. It plays a significant role in highly secure, real-time, well organized, and cost-effective data communication in smart-grid (SG) systems, which consist of multi-tier network standards that make it challenging to synchronize in power management communication. In this paper, we present a multi-layer communication model for SG systems and propose compressed-sensing based data transmission at every layer of the SG system to improve data transmission performance. Our approach is to utilize the compressed-sensing procedure at every layer in a controlled manner. Simulation results demonstrate that the proposed monitoring devices need less transmission power than conventional systems. Additionally, secure, reliable, and real-time data transmission is possible with the compressed-sensing technique.

Using Highly Secure Data Encryption Method for Text File Cryptography

  • Abu-Faraj, Mua'ad M.;Alqadi, Ziad A.
    • International Journal of Computer Science & Network Security
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    • v.21 no.12
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    • pp.53-60
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    • 2021
  • Many standard methods are used for secret text files and secrete short messages cryptography, these methods are efficient when the text to be encrypted is small, and the efficiency will rapidly decrease when increasing the text size, also these methods sometimes have a low level of security, this level will depend on the PK length and sometimes it may be hacked. In this paper, a new method will be introduced to improve the data protection level by using a changeable secrete speech file to generate PK. Highly Secure Data Encryption (HSDE) method will be implemented and tested for data quality levels to ensure that the HSDE destroys the data in the encryption phase, and recover the original data in the decryption phase. Some standard methods of data cryptography will be implemented; comparisons will be done to justify the enhancements provided by the proposed method.

Adaptively Secure Anonymous Identity-based Broadcast Encryption for Data Access Control in Cloud Storage Service

  • Chen, Liqing;Li, Jiguo;Zhang, Yichen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.3
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    • pp.1523-1545
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    • 2019
  • Cloud computing is now a widespread and economical option when data owners need to outsource or share their data. Designing secure and efficient data access control mechanism is one of the most challenging issues in cloud storage service. Anonymous broadcast encryption is a promising solution for its advantages in the respects of computation cost and communication overload. We bring forward an efficient anonymous identity-based broadcast encryption construction combined its application to the data access control mechanism in cloud storage service. The lengths for public parameters, user private key and ciphertext in the proposed scheme are all constant. Compared with the existing schemes, in terms of encrypting and decrypting computation cost, the construction of our scheme is more efficient. Furthermore, the proposed scheme is proved to achieve adaptive security against chosen-ciphertext attack adversaries in the standard model. Therefore, the proposed scheme is feasible for the system of data access control in cloud storage service.

Implementation of Secure POS SYSTEM (안전한 POS System의 구현)

  • 박동규;황유동
    • Journal of the Korea Society of Computer and Information
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    • v.6 no.2
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    • pp.70-77
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    • 2001
  • This paper focuses on the design and implementation of the secure POS SYSTEM We propose a secure POS SYSTEM with RSA, MD5, Triple-DES for security and with RBAC model for access control. The client authentication is implemented before the data transferred be4ween client and server in proposed POS SYSTEM. We apply security algorithms with it, so that it can maintain confidentiality and integrity In addition. we apply RBAC model for access control of data. We verified the proposed system's stability by applying the proposed system to real works.

A Study on Efficient Group Member Authentication and Key Management Scheme for Multicast Security in MANET (MANET에서 멀티캐스트 보안을 위한 효율적인 그룹 멤버 인증 및 키 관리 기법 연구)

  • Yang, Hwanseok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.13 no.4
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    • pp.115-123
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    • 2017
  • The mutual cooperation among nodes is very important because mobile nodes participating in MANET communicate with limited resources and wireless environment. This characteristic is important especially in environment that supports group communication. In order to support the secure multicast environment, it is important enough to affect performance to provide accurate authentication method for multicast group members and increase the integrity of transmitted data. Therefore, we propose a technique to provide the multicast secure communication by providing efficient authentication and group key management for multicast member nodes in this paper. The cluster structure is used for authentication of nodes in the proposed technique. In order to efficient authentication of nodes, the reliability is measured using a combination of local trust information and global trust information measured by neighboring nodes. And issuing process of the group key has two steps. The issued security group key increases the integrity of the transmitted data. The superiority of the proposed technique was confirmed by comparative experiments.

A Double-blockchain Architecture for Secure Storage and Transaction on the Internet of Things Networks (IoT 네트워크에서 스토리지와 트랜잭션 보호를 위한 이중 블록체인 구조)

  • Park, jongsoon;Park, chankil
    • 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.

A double-blockchain architecture for secure storage and transaction on the Internet of Things networks

  • Aldriwish, Khalid
    • International Journal of Computer Science & Network Security
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    • v.21 no.6
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    • pp.119-126
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    • 2021
  • The Internet of Things (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.

Application of Machine Learning Techniques for the Classification of Source Code Vulnerability (소스코드 취약성 분류를 위한 기계학습 기법의 적용)

  • Lee, Won-Kyung;Lee, Min-Ju;Seo, DongSu
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.4
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    • pp.735-743
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    • 2020
  • Secure coding is a technique that detects malicious attack or unexpected errors to make software systems resilient against such circumstances. In many cases secure coding relies on static analysis tools to find vulnerable patterns and contaminated data in advance. However, secure coding has the disadvantage of being dependent on rule-sets, and accurate diagnosis is difficult as the complexity of static analysis tools increases. In order to support secure coding, we apply machine learning techniques, such as DNN, CNN and RNN to investigate into finding major weakness patterns shown in secure development coding guides and present machine learning models and experimental results. We believe that machine learning techniques can support detecting security weakness along with static analysis techniques.