• Convergence Security Journal
• /
• v.2 no.2
• /
• pp.209-216
• /
• 2002

This treatise deals with designing a database encryption model that interworks with Intranet within a system. Today attempts are being made to substitute legacy client/server computing environment with what interworks with web and database, and thus the question how the security for the database that interworks with Intranet can be secured is emerging as a matter of great importance. This treatise, therefore, offers an encryption model which offers how to create an encryption key using an ID and a password most widely used in Intranet access and by using this key, how to encipher information ill a DB table, providing a maintenance scheme for the Key as well.

• Journal of KIISE:Computing Practices and Letters
• /
• v.8 no.1
• /
• pp.82-87
• /
• 2002

In the rapidly growing e-business area, the protection of information from hacking or tapping becomes very serious issue. Therefore, the more effective, convenient and secure methods are required to make the e-business more active. in this study, we develop the effective method of protecting digital contents on the public key infrastructure. To do this, we propose the partial encryption scheme to reduce the encryption time, and therefore, to release the server's workload. Our suggested scheme is believed to bring the strong competition to the portal service agents.

• Electronics and Telecommunications Trends
• /
• v.33 no.1
• /
• pp.68-77
• /
• 2018

Data deduplication is a common used technology in backup systems and cloud storage to reduce storage costs and network traffic. To preserve data privacy from servers or malicious attackers, there has been a growing demand in recent years for individuals and companies to encrypt data and store encrypted data on a server. In this study, we introduce two cryptographic primitives, Convergent Encryption and Message-Locked Encryption, which enable deduplication of encrypted data between clients and a storage server. We analyze the security of these schemes in terms of dictionary and poison attacks. In addition, we introduce deduplication systems that can be implemented in real cloud storage, which is a practical application environment, and describes the proof of ownership on client-side deduplication.

• Proceedings of the IEEK Conference
• /
• 2003.11b
• /
• pp.183-186
• /
• 2003

In this paper, we propose a DRM(Digital Rights Management) system for streaming media which can not only protect streamed MPEG-4 content but be easily integrated with existing MPEG-4 streaming system. To protect MPEG-4 media more effectively and more securely, encryption should be considered on encoding phase and also streaming server should be designed to support DRM. However that means it cannot support existing streaming system. Our approach is to design a DRM system independent to the streaming server. So, we used an encryption method which can be applied to compressed MPEG-4. The processing time of decryption in client system must be minimized to guarantee the QoS of streaming service. To satisfy this requirement, it is essential to analyze the effect of DRM on performance. We made some performance test and present the result. Also, we apply proposed system to ISMA(The Inter net Streaming Media Alliance) streaming system which is open standard for MPEG-4 media streaming.

• Journal of the Korea Society for Simulation
• /
• v.24 no.4
• /
• pp.153-161
• /
• 2015

We propose a privacy-preserving location-based service (LBS) which supports top-k search service. The previous schemes hurt the privacy of either the user and the location of the objects because they are sent to the LBS server in a plaintext form. In the proposed method, by encrypting them with the fully-homomorphic encryption, we achieved the top-k search is possible while the information on them is not given to the LBS server. We performed a simulation on the proposed scheme with 16 locations where k is 3. The required time is 270 hours in a conventional desktop machine, which seems infeasible to be used in practice. However, as the progress of the hardware, the performance will be improved.

• Journal of Information Processing Systems
• /
• v.13 no.3
• /
• pp.573-589
• /
• 2017

Cloud computing is an attractive solution that can provide low cost storage and powerful processing capabilities for government agencies or enterprises of small and medium size. Yet the confidentiality of information should be considered by any organization migrating to cloud, which makes the research on relational database system based on encryption schemes to preserve the integrity and confidentiality of data in cloud be an interesting subject. So far there have been various solutions for realizing SQL queries on encrypted data in cloud without decryption in advance, where generally homomorphic encryption algorithm is applied to support queries with aggregate functions or numerical computation. But the existing homomorphic encryption algorithms cannot encrypt floating-point numbers. So in this paper, we present a mechanism to enable the trusted party to encrypt the floating-points by homomorphic encryption algorithm and partial trusty server to perform summation on their ciphertexts without revealing the data itself. In the first step, we encode floating-point numbers to hide the decimal points and the positive or negative signs. Then, the codes of floating-point numbers are encrypted by homomorphic encryption algorithm and stored as sequences in cloud. Finally, we use the data structure of DoubleListTree to implement the aggregate function of SUM and later do some extra processes to accomplish the summation.

• Journal of KIISE
• /
• v.43 no.2
• /
• pp.143-151
• /
• 2016

Data deduplication is an important technique for cloud storage savings. These techniques are especially important for encrypted data because data deduplication over plaintext is basically vulnerable for data confidentiality. We examined encrypted data deduplication with the aid of a key issuing server and compared Convergent Encryption with a technique created by M.Bellare et al. In addition, we implemented this technique over not only Dropbox but also an open cloud storage service, Openstack Swift. We measured the performance for this technique over Dropbox and Openstack Swift. According to our results, we verified that the encrypted data deduplication technique with the aid of a key issuing server is a feasible and versatile method.

• Journal of KIISE:Software and Applications
• /
• v.32 no.12
• /
• pp.1238-1246
• /
• 2005

This thesis is written with web security module for safe data transmission between heterogeneous systems(ex. OS). Web system has allowed users to have great convenience and a lot of information. Though web service business has been progressed much, because of the limitation of it's own system, lots of loss, derived from data spillage which is the weakest point of security, has also followed. Suggested security module is realized by two module. One for server security module for web server, the other is client security module for client. The security structure, suggested on this thesis guarantee safe data transmission by only simple installation of modules in clients and servers. for speed sensitive transmission between web server and browser, Triple-DES, symmetric encryption system suitable for fast encryption communication, is adapted. To solve problems caused from key management, Diffie-Hellman's key exchange algorithm is adapted. By this method, all symmetric encryption troubles from key distribution and management, speed could be work out a solution. And Diffie-Hellman type algorithm secures Authentication for safe data Protection.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.27 no.3
• /
• pp.477-487
• /
• 2017

Multiparty computation (MPC) is a computation technique where many participants provide their data and jointly compute operations to get a computation result. Earlier MPC protocols were mostly depended on communication between the users. Several schemes have been presented that mainly work by delegating operations to two non-colluding servers. Peter et al. propose a protocol that perfectly eliminates the need of users' participation during the whole computation process. However, the drawback of their scheme is the excessive dependence on the server communication. To cater this issue, we propose a protocol that reduce server communication overhead using the proxy re-encryption (PRE). Recently, some authors have put forward their efforts based on the PRE. However, these schemes do not achieve the desired goals and suffer from attacks that are based on the collusion between users and server. This paper, first presents a comprehensive analysis of the existing schemes and then proposes a secure and efficient MPC protocol. The proposed protocol completely eliminates the need of users' participation, incurs less communication overhead and does not need to solve the discrete logarithm problem (DLP) in order to get the computation results.

• The Journal of Korean Institute of Next Generation Computing
• /
• v.15 no.4
• /
• pp.7-17
• /
• 2019

Machine learning is one of the most accurate techniques to predict and analyze various phenomena. K-means clustering is a kind of machine learning technique that classifies given data into clusters of similar data. Because it is desirable to perform an analysis based on a lot of data for better performance, K-means clustering can be performed in a model with a server that calculates the centroids of the clusters, and a number of clients that provide data to server. However, this model has the problem that if the clients' data are associated with private information, the server can infringe clients' privacy. In this paper, to solve this problem in a model with a number of clients, we propose a privacy-preserving K-means clustering method that can perform machine learning, concealing private information using homomorphic encryption.