Development of Personal Information Protection Model using a Mobile Agent

Bae, Seong-Hee,Kim, Jae-Joon Korea Information Processing Society 2010 Journal of information processing systems Vol.6 No.2

This paper proposes a personal information protection model that allows a user to regulate his or her own personal information and privacy protection policies to receive services provided by a service provider without having to reveal personal information in a way that the user is opposed to. When the user needs to receive a service that requires personal information, the user will only reveal personal information that they find acceptable and for uses that they agree with. Users receive desired services from the service provider only when there is agreement between the user's and the service provider's security policies. Moreover, the proposed model utilizes a mobile agent that is transmitted from the user's personal space, providing the user with complete control over their privacy protection. In addition, the mobile agent is itself a self-destructing program that eliminates the possibility of personal information being leaked. The mobile agent described in this paper allows users to truly control access to their personal information.

The Principle of Justifiable Granularity and an Optimization of Information Granularity Allocation as Fundamentals of Granular Computing

Pedrycz, Witold Korea Information Processing Society 2011 Journal of information processing systems Vol.7 No.3

Granular Computing has emerged as a unified and coherent framework of designing, processing, and interpretation of information granules. Information granules are formalized within various frameworks such as sets (interval mathematics), fuzzy sets, rough sets, shadowed sets, probabilities (probability density functions), to name several the most visible approaches. In spite of the apparent diversity of the existing formalisms, there are some underlying commonalities articulated in terms of the fundamentals, algorithmic developments and ensuing application domains. In this study, we introduce two pivotal concepts: a principle of justifiable granularity and a method of an optimal information allocation where information granularity is regarded as an important design asset. We show that these two concepts are relevant to various formal setups of information granularity and offer constructs supporting the design of information granules and their processing. A suite of applied studies is focused on knowledge management in which case we identify several key categories of schemes present there.

Fuzzy Linguistic Recommender Systems for the Selective Diffusion of Information in Digital Libraries

Porcel, Carlos,Ching-Lopez, Alberto,Bernabe-Moreno, Juan,Tejeda-Lorente, Alvaro,Herrera-Viedma, Enrique Korea Information Processing Society 2017 Journal of information processing systems Vol.13 No.4

The significant advances in information and communication technologies are changing the process of how information is accessed. The internet is a very important source of information and it influences the development of other media. Furthermore, the growth of digital content is a big problem for academic digital libraries, so that similar tools can be applied in this scope to provide users with access to the information. Given the importance of this, we have reviewed and analyzed several proposals that improve the processes of disseminating information in these university digital libraries and that promote access to information of interest. These proposals manage to adapt a user's access to information according to his or her needs and preferences. As seen in the literature one of the techniques with the best results, is the application of recommender systems. These are tools whose objective is to evaluate and filter the vast amount of digital information that is accessible online in order to help users in their processes of accessing information. In particular, we are focused on the analysis of the fuzzy linguistic recommender systems (i.e., recommender systems that use fuzzy linguistic modeling tools to manage the user's preferences and the uncertainty of the system in a qualitative way). Thus, in this work, we analyzed some proposals based on fuzzy linguistic recommender systems to help researchers, students, and teachers access resources of interest and thus, improve and complement the services provided by academic digital libraries.

Perceptual Fusion of Infrared and Visible Image through Variational Multiscale with Guide Filtering

Feng, Xin,Hu, Kaiqun Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.6

To solve the problem of poor noise suppression capability and frequent loss of edge contour and detailed information in current fusion methods, an infrared and visible light image fusion method based on variational multiscale decomposition is proposed. Firstly, the fused images are separately processed through variational multiscale decomposition to obtain texture components and structural components. The method of guided filter is used to carry out the fusion of the texture components of the fused image. In the structural component fusion, a method is proposed to measure the fused weights with phase consistency, sharpness, and brightness comprehensive information. Finally, the texture components of the two images are fused. The structure components are added to obtain the final fused image. The experimental results show that the proposed method displays very good noise robustness, and it also helps realize better fusion quality.

Two-Dimensional Qualitative Asset Analysis Method based on Business Process-Oriented Asset Evaluation

Eom, Jung-Ho,Park, Seon-Ho,Kim, Tae-Kyung,Chung, Tai-Myoung Korea Information Processing Society 2005 Journal of information processing systems Vol.1 No.1

In this paper, we dealt with substantial asset analysis methodology applied to two-dimensional asset classification and qualitative evaluation method according to the business process. Most of the existent risk analysis methodology and tools presented classification by asset type and physical evaluation by a quantitative method. We focused our research on qualitative evaluation with 2-dimensional asset classification. It converts from quantitative asset value with purchase cost, recovery and exchange cost, etc. to qualitative evaluation considering specific factors related to the business process. In the first phase, we classified the IT assets into tangible and intangible assets, including human and information data asset, and evaluated their value. Then, we converted the quantitative asset value to the qualitative asset value using a conversion standard table. In the second phase, we reclassified the assets using 2-dimensional classification factors reflecting the business process, and applied weight to the first evaluation results. This method is to consider the organization characteristics, IT asset structure scheme and business process. Therefore, we can evaluate the concrete and substantial asset value corresponding to the organization business process, even if they are the same asset type.

A Caching Mechanism for Remote Queries in Distributed Directory Systems

이강우,Lee, Kang-Woo Korea Information Processing Society 2000 정보처리논문지 Vol.7 No.1

본 논문에서는 분산 디렉토리 시스템에서 질의 처리 속도를 향상시키기 위하여 원격지의 객체에 대한 질의와 결과를 요청지의 캐시에 저장하는 캐싱 메카니즘을 제안한다. 이를 위하여 첫째, 분산 디렉토리 시스템에 저장되는 캐시 정보를 응용 데이터 정보, 시스템 데이터 정보로 분류하고, 분류된 캐시 정보를 기반으로 캐시 시스템 구조를 설계하였다. 둘째, 각각의 캐시에 대한 거리 정보와 접근 회수를 가중치로 부여한 최소-TTL 대체 기법을 개발하였다. 마지막으로 제안된 캐시 기법과 타 기법(LRU, LFU 대체 기법)에 대하여 성능 평가를 수행하여 제안된 기법이 LRU 기법 보다 25%의 성능향상을 보였으며, LFU 기법보다는 30%의 성능향상 결과를 보였다. In this paper, for improving the speed of query processing on distributed directory system, we proposed a caching mechanism which is store the queries and their on the remote site objects in the cache of local site. For this, first, cached information which is stored in distributed directory systems is classified as application data and system data. And cache system architecture is designed according to classified information. Second least-TTL replacement mechanism which uses the weighted value of geographical information and access frequency for replacements are developed for each cache. Finally, performance evaluations are performed by comparing the proposed caching mechanism and other mechanisms (LRU, LFU replacement). Our least-TTL mechanism shows a performance improvement of 25% over the LRU and that of 30% over LFU.

A Hardware/Software Codesign for Image Processing in a Processor Based Embedded System for Vehicle Detection

Moon, Ho-Sun,Moon, Sung-Hwan,Seo, Young-Bin,Kim, Yong-Deak Korea Information Processing Society 2005 Journal of information processing systems Vol.1 No.1

Vehicle detector system based on image processing technology is a significant domain of ITS (Intelligent Transportation System) applications due to its advantages such as low installation cost and it does not obstruct traffic during the installation of vehicle detection systems on the road[1]. In this paper, we propose architecture for vehicle detection by using image processing. The architecture consists of two main parts such as an image processing part, using high speed FPGA, decision and calculation part using CPU. The CPU part takes care of total system control and synthetic decision of vehicle detection. The FPGA part assumes charge of input and output image using video encoder and decoder, image classification and image memory control.

Genetic Symmetric Key Generation for IDEA

Malhotra, Nandini,Nagpal, Geeta Korea Information Processing Society 2015 Journal of information processing systems Vol.11 No.2

Cryptography aims at transmitting secure data over an unsecure network in coded version so that only the intended recipient can analyze it. Communication through messages, emails, or various other modes requires high security so as to maintain the confidentiality of the content. This paper deals with IDEA's shortcoming of generating weak keys. If these keys are used for encryption and decryption may result in the easy prediction of ciphertext corresponding to the plaintext. For applying genetic approach, which is well-known optimization technique, to the weak keys, we obtained a definite solution to convert the weaker keys to stronger ones. The chances of generating a weak key in IDEA are very rare, but if it is produced, it could lead to a huge risk of attacks being made on the key, as well as on the information. Hence, measures have been taken to safeguard the key and to ensure the privacy of information.

Feature Extraction of Concepts by Independent Component Analysis

Chagnaa, Altangerel,Ock, Cheol-Young,Lee, Chang-Beom,Jaimai, Purev Korea Information Processing Society 2007 Journal of information processing systems Vol.3 No.1

Semantic clustering is important to various fields in the modem information society. In this work we applied the Independent Component Analysis method to the extraction of the features of latent concepts. We used verb and object noun information and formulated a concept as a linear combination of verbs. The proposed method is shown to be suitable for our framework and it performs better than a hierarchical clustering in latent semantic space for finding out invisible information from the data.

The Design of the IIR Differintegrator and its Application in Edge Detection

Jain, Madhu,Gupta, Maneesha,Jain, N.K. Korea Information Processing Society 2014 Journal of information processing systems Vol.10 No.2

New IIR digital differintegrators (differentiator and integrator) with very minor absolute relative errors are presented in this paper. The digital integrator is designed by interpolating some of the existing integrators. The optimum value of the interpolation ratio is obtained through linear programming optimization. Subsequently, by modifying the transfer function of the proposed integrator appropriately, new digital differentiator is obtained. Simulation results demonstrate that the proposed differintegrator are a more accurate approximation of ideal ones, than the existing differintegrators. Furthermore, the proposed differentiator has been tested in an image processing application. Edges characterize boundaries and are, therefore, a problem of fundamental importance in image processing. For comparison purpose Prewitt, Sobel, Roberts, Canny, Laplacian of Gaussian (LOG), Zerocross operators were used and their results are displayed. The results of edge detection by some of the existing differentiators are also provided. The simulation results have shown the superiority of the proposed approach over existing ones.