International Journal of Advanced Science and Technology

10

Authors: Bahman Nikkhahan, Akbar Jangi Aghdam and Sahar Sohrabi

Security is one of the most important issues in E-government. All of the security approaches that are common in E-commerce are applicable to E-government. But E-government is a little different from E-commerce. Usually government networks can communicate to each other better than business networks, because, most of them are connected for transferring information, but businesses are competitors and they don't disclose their sensitive information. Utilizing "honeypots" is a good solution for tracing hackers and revealing their tools. In this paper, "connectedness" of E-government networks and honeypots are employed to propose an approach for securing an E-government network. This framework provides suitable resources for hackers; and simultaneously, it prevents them from misusing those resources for future attacks.

14

Authors: Peilin Shi

The interests of web users can be revealed by their visited web pages and time duration on these web pages during their surfing. Time duration on a web page is characterized as a fuzzy linguistic variable because linguistic variable makes users easily understand the expression of time duration and can disregard subtle difference between two time durations. Each web access pattern from web logs is transformed as corresponding fuzzy web access pattern, which is a fuzzy vector composed of fuzzy linguistic variables or 0. Each element in fuzzy web access patterns represents visited web page and time duration on this web page. This paper proposed a rough k-means clustering algorithm based on properties of rough variable to group the gained fuzzy web access patterns. Finally, an example and experiment is provided to illustrate the clustering process. Using this approach, users can effectively mine web logs records to discover interesting user access patterns.

20

Authors: Anestis A. Toptsis, Rahul A. Chaturvedi, and Avaz Feroze

Multi-process bidirectional heuristic search algorithms (such as PBA*) that utilize island nodes have been shown to have the potential for exponential speedup over their plain counterparts that do not utilize island nodes. PBA* (Parallel Bidirectional A*) is a primary algorithm in this area and, to the best of our knowledge, unique in its usage of island nodes for reducing the size of the traversed search space and in its usage of multidimensional heuristics for reducing interprocess communication cost. Both, island nodes use and reference nodes use within the context of multidimensional heuristics have been reported to provide excellent performance, compared to plain heuristic search counterparts. However, both of these two features have also resisted refinements for over two decades. Specifically, the two main issues are: how to identify well-placed (in the state space) island nodes, and how to generate well-placed reference nodes. The work presented in this paper is an initial step toward this end. We present two methods, one employing Voronoi diagrams for the purpose of identifying well-placed island nodes, and one employing Kohonen Networks for the purpose of identifying well-placed reference nodes. We implement and compare our methods against a plain version of PBA*. Our finding indicate that the cost of incorporating the proposed improvements into PBA* is negligible; and when PBA* is equipped with the island identification method, or with the reference node identification method, it outperforms its random island nodes counterpart and its random reference nodes counterpart, respectively, for the vast majority of test cases.

8

Authors: Chang-Yong Lee, Hwan-Kuk Kim, Kyoung-Hee Ko, Jeong-Wook Kim, Hyun-Cheol Jeong

With the development of VoIP (Voice over IP) service, new security threats are expected to be appeared. However, existing IP network security solutions can not detect new VoIP specified network threats because they can not reflect characteristics of VoIP. In this paper, we propose a novel system that can monitor VoIP service and detect VoIP network threats practically. The proposed system collects attributes of VoIP traffic based on NetFlow, and executes monitoring and detecting based on statistic and behavior.

8

Authors: Dongwon Jeong , Hyejin Jeong and Young-Sik Jeong

This paper proposes a novel secure query processing model for semantic sensor networks. A semantic sensor network (SSN) is a sensor network which includes semantics of sensory data and context information, and relationships between the semantics. In brief, SSN is an extension of the current Sensor Network (SN) and realized by using Semantic Web (SW) technologies. Although various researches have been activated on SSN, there is little activity on how to access data in semantic sensor networks in safe. This paper proposes a new access control model for secure query processing under semantic sensor networks. The proposed security model is based on RBAC (Role-Based Access Control) and enables secure access control of ontology for SSNs.

14

Authors: Dileep Kumar, Yeonseung Ryu

In this paper we have survey on biometric payment system. Biometric payment system is used for various kinds of payment system instead of the tension of cards to put with them and to memorize theirs difficult passwords and pin numbers. Biometric payment system is much safe and secure and very easy to use and even without using any password or secret codes to remember as compare with previous system like credit card payment system, wireless system and mobile system etc. Biometric payment system is reliable, economical and it has more advantages as compare with others. In daily life the usage of credit cards, check card for shopping, bus card, subway card for traveling, student card for library and department, and many kinds of cards for unlimited purposes and so on. So problem is that a person has to take many cards and has to remember their passwords or secret codes and to keep secure to take with him all time. So the biometric payment system will solve this problem. Greater adoption of biometric payment system will drive down the cost of biometric readers and thus making it more affordable to small business owners. We really need alternate payment systems. This "perpetual toll" to credit card companies has to stop.

8

Authors: Yu Zheng-tao, Deng Bin, Hou Bo, Han Lu and Guo Jian-yi

Word sense disambiguation has always been a key problem in Natural Language Processing. In the paper, we use the method of Information Gain to calculate the weight of different position's context, which affect to ambiguous words. And take this as the foundation. We select the ahead and back six position’s context of ambiguous words to construct the feature vectors. The feature vectors are endued with different value of weight in Bayesian Model. Thus, the Bayesian Model is improved. We use the sense of the HowNet to describe the meaning of ambiguous words. The average accuracy rate of the experiments of 10 Chinese ambiguous words was 95.72% in close test and the average accuracy rate was 85.71% in open test. The results showed that the method was proposed in this paper were very effective.

8

Authors: Jianhua Dai, Xiaochun Liu, Huaijian Zhang, Yu Yi, Jingjing Wang, Shaomin Zhang and Xiaoxiang Zheng

When recording extracellular neural activity, it is often necessary to distinguish action potentials arising from distinct cells near the electrode tip, a process commonly referred to as spike sorting or action potential sorting. Sorting of neuronal spikes plays a very important role in coding of neural information, which is a prerequisite for studying the brain function. In this paper, five major action potential classification methods including Template Matching, Wavelet Transform, Principal Component Analysis, Back-Propagation (BP) Neural Network, Two-stage Radius Basis Function Network are studied. Under the conditions of different levels of background noise, the performances of these methods are tested. This work may be helpful to choose classification method.

10

Authors: Giljong Yoo, and Eunseok Lee

This work concerns the development of a fault model of sensor for detecting and isolating sensor, actuator, and various faults in USNs (Ubiquitous Sensor Network). USN are developed to create relationships between humans, objects and computers in various fields. A management research of sensor nodes is very important because the ubiquitous sensor network has the numerous sensor nodes. However, Self-healing technologies are insufficient to restore when an error event occurs in a sensor node in a USN environment. A layered healing architecture for each node layer (3-tier) is needed, because most sensor devices have different capacities in USN. In this paper, we design a fault model and architecture of the sensor and sensor node separately for self-healing in USN. In order to evaluate our approach, we implement prototype of the USN fault management system to evaluate our approach. We compare the resource use of self-healing components in the general distributed computing(wired network) and the USN.

10

Authors: Sanghoon Kim, Sangmu Lee, Seungjong Kim and Joosock Lee

A mobile robot with various types of sensors via ubiquitous networks is introduced. We designed a mobile robot composed of TCP/IP network, wireless camera and several sensors in an environment, and show object avoiding and tracking methods necessary for providing diverse services desired by the people. To avoid obstacles(objects), active sensors such as infrared rays sensors and supersonic waves sensors are employed together and measures the range in real time between the obstacles and the robot. We focus on how to track a object well because it gives robots the ability of working for human. This paper suggests effective visual tracking system for moving objects with specified color and motion information. The proposed tracking system includes the object extraction and definition process which uses color transformation and AWUPC computation to decide the existence of moving object. Active contour information and shape energy function are used to exactly tract the objects with shape changes. Finally, real time mobile robot avoiding and tracking objects is implemented.

14

Authors: Rudy Adipranata, Eddy, Cherry G. Ballangan, and Ronald P. Ongkodjojo

Face segmentation has been used in many different applications, such as face tracking, video surveillance in security control system and human computer interface. In this paper we propose a two-stage face segmentation system that consists of face position detection and facial feature extraction. From the experimental results, the system produced a facial detection success rate of approximately 82.7 percent.

8

Authors: Lingxiang Xiang, Jiangwei Huang and Tianzhou Chen

Power consumption is becoming a primary concern as a result of tremendous increasing in computer power usage. Innumerable methods and techniques have been exploited to address this problem but few concentrate on collaborative approaches. This paper presents coordination mechanisms that integrate operating systems with compilers under power reduction techniques such as DPM and DVS. By remaining the information generated at compile stage about an application’s structure and performance characteristics as much as possible and committing it to system software at run stage, the system software, especially the operation system and compiler, are collaborating toward file-grain power optimizations. The proposed coordination mechanisms also make it possible to integrate the power optimization approaches in our prior work into a whole system. Thus, the optimizations working at distinct levels can be overlaid at run time, and the power reduction effect can be enhanced.

8

Authors: ZHAO Xin, WANG Xiao-dong

The proposed broadcast authentication protocols for wireless sensor networks can be divided into two categories: protocols based on digital signature and protocols based on improved message authentication code. This paper implements and evaluates the performance of two broadcast authentication: TinyECC, which is based on ECDSA, and GBA, which is based on improved MAC. Through analysis of the performance difference of the two protocols, this paper proposes a hybrid broadcast authentication protocol (HBA). HBA achieves an appropriate compromise of security and performance according to packet value. The analysis and experiments show that HBA is efficient and practical.

10

Authors: Youn-Gyou Kook, Jae-Oh Lee, Woon-Yong Kim

This paper presents a data gathering for Advanced Process Control (APC) in FA (Factory Automation). It is important that the gathered data in FA to control all the processing, to be a predictive maintenance of equipments and manage products. We gathered the entire data of all in FA through Equipment Engineering System (EES) and analyzed that to control a processing, predict the next processing and manage the various things for the enhancement of productivity, overall equipment efficiency, product yield and quality. And we enabled APC to operate micro process control by gathering data from the process control system not only in the current process in real time but also in past process through back-tracking of products [1, 5]. So, we control micro process based on the acquired data using simulating functionality using APC. This simulation produces the outcome of the data analysis and the operation of micro process control that leads to reduce errors. The proposed the data gathering system based on agent brings an efficient management of micro process control in automated processing. It is optimized in the semi-conductor and the flat panel display (FPD) industry.

14

Authors: Wang Lei, Wang Tongsen, Yang Ronghua

A new distributed algorithm of data ccompression based on hierarchical cluster model for sensor networks is proposed, the basic ideas of which are as follows, firstly the whole sensor network is mapped into a kind of hierarchical clusters model, and then different wavelet transform models are used to commit data compression in inner and super clusters respectively, according to the relative regularity of sensor nodes deployed in the inner clusters, and the relative irregularity of sensor nodes deployed in super cluster. Theoretical analyses and simulation results show that, the above new methods have good performance of approximation, and can compress data and reduce the amount of data efficiently. So, it can prolong the lifetime of the whole sensor network to a greater degree.

6

Authors: Cong Jin, Qing-Hua Deng and Jun Liu

In this paper, two different propagation models based on different topologies of email network are proposed. By analyzing the means and the characters of email virus spreading, the function of email virus propagation is given, and the maximum time of email virus propagation before the anti-virus software is calculated. The condition in which email virus propagation stops is also proved. The relation between average node degree and power law exponent is discussed later. The models have been testified its rationality through simulation experiments.

8

Authors: Golriz Khazan and Mohammad Abdollahi Azgomi

Security of computer systems and networks has become very significant nowadays. Introducing and using a unified framework for modeling and quantitative security evaluation (QSE) is an open problem. Th results of our study on drawbacks of the existing security assessment methodologies motivated us to use a simulation framework for model-based security evaluation. We have used discrete-event simulation (DES) and the SimEvents tool for QSE of a domain name system (DNS). First, the normal operation of the DNS is simulated. Then, an attacker is added to the model. The aim is to evaluate the instantaneous availability of DNS as an important measure of security. Finally, as a case study, DNS spoofing attack model is constructed and the availability of the attacked system is evaluated. The proposed approach can be used for other kinds of attacks and other types of systems, networks and applications. In this paper the simulation models and their results are presented.

8

Authors: Yuyang Liu, Wooi Ping Cheah, Byung-Ki Kim and Hyukro Park

We explore the software metrics and build a Bayesian Network Model for defect prediction. Much previous work has concentrated on how to select the software metrics that are most likely to indicate fault-proneness, based on the hypnosis that these metrics are independent. But in reality, software metric values are predicted not only correlated with fault-proneness, but also observed internal complex relationship with each other. In this paper,we build a Bayesian network model to represent the probability distribution of each factor and how they affect defects, considering strong or weak correlations are existed between individual metric attributes. We perform a comparative experimental study of effectiveness of Bayesian Network, logistic regression and Naive Bayes on a public data set from an open source software system. The result shows that our approach produces statistically significant estimations.

10

Authors: Myung-Hee Lee, Cheol-Jung Yoo and Ok-Bae Jang

Recently, the need for accessing information from anywhere at any time has been a driving force for a variety of mobile applications. As the number of embedded systems increases rapidly, there has been a growing demand for the use of Service Oriented Architecture (SOA) for various applications. Embedded system service offers a systematic way to classify and assess technical realizations of business processes. But embedded system has restricted range of utilizing services in computing environment and more, a mobile computer is envisioned to be equipped with more powerful capabilities, including the storage of a small database, the capacity of data processing, a narrow user input and small size of display. This paper present embedded system software testing based on SOA to overcome mobile restriction. To improve embedded system efficient we analyzing mobile application requirement, writing service specification, optimizing design, providing extended use case specification which test use case testing and testing service test case which derived from service specification.

10

Authors: Stan Kurkovsky

As a practice-oriented discipline, Software Engineering is most effectively taught by using a variety of hands-on experiences. Team-based projects where students can practice their technical and soft skills are a key feature of many software engineering courses aimed to prepare students for the realities of industrial software development. This paper surveys the objectives of software development projects in undergraduate courses and summarizes four roles in which the instructor can participate in student projects: a customer, an architect, a team manager, and a mentor. The paper is concluded with case studies illustrating the nature of these roles.

12

Authors: Ching-Tang Hsieh, Yeh-Kuang Wu, and Kuo-Ming Hung

As digital halftone images are widely used in the printing of books, magazines, newspapers and computer printers, the ease with which perfect copies can be made, may lead to large-scale unauthorized copying. Watermarking has been considered for many copy prevention and copyright protection applications. The hybrid watermarking system is proposed for halftone images that the watermarks embedded based on the spatial domain and frequency domain separately to enhance the robustness. For the purpose of copyright protection, the watermarks are embedded into the halftone image with visual transparency and robustness by the variety of dispersed dot order dither arrays generated by the particle swarm optimization (PSO) method achieving good robustness and image quality produce patterns for the spatial watermarks embedding system. After the binary pseudo-wavelet transform (BPWT), the second watermarks are embedded into the high-frequency components of the BPWT coefficients of the spatial domain based watermarked image that the frequency domain based watermarking is independent to the spatial domain based one. And the modified quality criterion system for halftone images is proposed by using the PSO based visual filter. The experimental results show that the hybrid watermarking algorithm is more robust for halftone images and the watermarked halftone image possesses high image quality by the PSO algorithm.