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Annual Conference on Privacy, Security and Trust, PST

作者： Sk. Md. Mizanur Rahman Md. Mehedi Masud Carlisle Adams Khalil El-Khatib Hussein T. Mouftah Eiji Okamoto School of Information Technology and Engineering University of Ottawa Ottawa ONT Canada Computer Science Department Taif University Taif Makkah Saudi Arabia Faculty of Business and Information Technology UOIT Oshawa ONT Canada Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Japan

In an eHealth peer-to-peer database management system(P2PDBMS), peers exchange data in a pair-wise fashion on-the-fly in response to a query without any centralized control. Generally, the communication link between two peers is insecure and peers create a temporary session while exchanging data. When peers exchange highly confidential data in an eHealth network over an insecure communication link, the data might be tampered with or trapped and disclosed by intruders, which is a serious offence for the clients of an eHealth P2PDBMS. As there is no centralized control for data exchange in eHealth P2PDBMS, it is infeasible to assume a centralized third party security infrastructure to protect confidential data. So far, there is currently no available/existing security protocol for secured data exchange in eHealth P2PDBMS. In this paper we propose three models for secure data exchange in eHealth P2PDBMSs and the corresponding security protocols. The proposed protocol allows the peers to compute their secret session keys dynamically during data exchange based on the policies between them. Our proposed protocol is robust against the man-in-the middle attack, the masquerade attack, and the replay attack.

关键词： Protocols Cryptography Authentication Medical services Databases Data models

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Prediction of software project effort using fuzzy logic

Prediction of software project effort using fuzzy logic

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International Conference on Electronic computer technology

作者： Mohd. Sadiq Farhana Mariyam Aleem Alil Shadab Khan Pradeep Tripathi Computer Engineering Laboratory Section of Computer Engineering University Polytechnic Faculty of Engineering and Technology Jamia Millia Islamia (A Central University) New Delhi India Department of Computer Science and Engineering AL-Falah School of Engineering and Technology Maharshi Dayanand University Rohtak Haryana India Department of Computer Science and Information Technology Sunder Deep College of Engineering and Technology U.P. Technical University Lucknow U.P. India

Software development effort estimation is a branch of forecasting that has received increased interest in academia as well as in the field of research and development. Predicting software effort with any acceptable degree remains challenging. In this paper we have developed 2 different linear regression models using fuzzy function point (FFP) and non fuzzy function point in order to predict the software project effort and further we have also considered that the entire projects are organic in nature i.e. the project size lies between 2 to 50 KLOC. After obtaining the software effort, project manager can control the cost and ensures the quality more accurately.

关键词： Software Estimation Biological system modeling Complexity theory Programming Mathematical model Computational modeling

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Analytic Hierarchy Process (AHP) Approach for Selecting Mobile Service Category (Consumers' Preferences)

Analytic Hierarchy Process (AHP) Approach for Selecting Mobi...

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International Conference on Mobile Business (ICMB)

作者： Shahrokh Nikou Jozsef Mezei Harry Bouwman Institute of Advanced Management Systems Research Department of Information Technologies Åbo Akademi University Turku Centre of Computer Science (TUCS) Turku Finland Institute of Advanced Management Systems Research (IAMSR) Åbo Akademi University Turku Finland Faculty of Technology Policy and Management Section of Information and Communication Technology Delft University of Technology Delft Netherlands

There is an essential quest in the literature to open up the "black-box" of characteristics of the new information technology innovation by identifying the users' preferences on mobile service and service characteristics. In this paper, we study how Analytic Hierarchy Process (AHP) approach can be used to select the most important mobile service category. The results are based on a survey study in two universities in Turku/Finland. According to the findings, communication and information mobile services are the most important services for the respondents respectively, while entertainment services are the least important ones. The focus of this study is not on users of mobile services, but rather on mobile service characteristics. The results have important implications for mobile service/content providers on how to develop and implement specific mobile services.

关键词： Mobile communication Mobile handsets Technological innovation Mobile computing Electronic mail Meteorology Business

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Using Automated Control Charts for the Runtime Evaluation of QoS Attributes

Using Automated Control Charts for the Runtime Evaluation of...

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IEEE International Symposim on High Assurance systems engineering

作者： Ayman Amin Alan Colman Lars Grunske Centre for Computing & Engineering Software Systems Faculty of Information and Communication Technologies Swinburne University of Technology Hawthorn VIC Australia Department of Computer Science Software Engineering: AG AQUA University of Kaiserslautern Kaiserslautern Germany

As modern software systems operate in a highly dynamic context, they have to adapt their behaviour in response to changes in their operational environment or/and requirements. Triggering adaptation depends on detecting quality of service (QoS) violations by comparing observed QoS values to predefined thresholds. These threshold-based adaptation approaches result in late adaptations as they wait until violations have occurred. This may lead to undesired consequences such as late response to critical events. In this paper we introduce a statistical approach CREQA - Control Charts for the Runtime Evaluation of QoS Attributes. This approach estimates at runtime capability of a system, and then it monitors and provides early detection of any changes in QoS values allowing timely intervention in order to prevent undesired consequences. We validated our approach using a series of experiments and response time datasets from real world web services.

关键词： Quality of service Control charts Web services Monitoring Runtime Time factors Estimation

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A distributed intrusion detection scheme for wireless sensor networks

A distributed intrusion detection scheme for wireless sensor...

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IEEE International Conference on Electro-information technology

作者： S. I. Eludiora O. O. Abiona A. O. Oluwatope S. A. Bello M. L. Sanni D. O. Ayanda C. E. Onime E. R. Adagunodo L. O. Kehinde Department of Computer Science & Engineering Obafemi Awolowo University Ile Ife Nigeria Department of Computer Information Systems Indiana University Northwest Garry IN USA Information and Communication Technology Section Abdus Salam International Centre for Theoretical Physics Trieste Italy Department of Engineering Technologies Texas Southern University Houston TX USA

The task of Intrusion Detection systems (IDS) in Wireless Sensors Networks (WSNs) is to monitor sensor network systems; detecting possible intrusions in the WSNs environment, alerting users after intrusions had been detected and reconfiguring the network if possible. In this study a Distributed IDS for WSNs was developed. Distributed IDS is implemented using TMote sky wireless sensor for testing and simulation over specified parameters. For efficient monitoring of the WSNs, the proposed system employs Mobile Agents (MAs) that can communicate with other sensors and move from one Base Station (BS) to another in order to enhance intrusion detection and prevention. Comparative analysis of the result is studied based on three major parameters: energy consumption, response time and detection accuracy. The result of the study shows better performance.

关键词： Wireless sensor networks Intrusion detection Base stations Electronic mail Servers computer crime

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Compressed sensing MRI by two-dimensional wavelet filter banks

Compressed sensing MRI by two-dimensional wavelet filter ban...

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International Workshop on Multidimensional (nD) systems

作者： Zangen Zhu Ran Yang Jingxin Zhang Cishen Zhang School of Information Science and Technology Sun Yat-Sen University Guangzhou China Department of Computer Systems and Electrical Engineering Monash University Clayton VIC Australia Faculty of Engineering and Industrial Sciences Swinburne University of Technology Hawthorn VIC Australia

How to speed up the scanning process is the bottleneck problem of magnetic resonance imaging (MRI). As a newly developed mathematical framework of signal sampling and recovery, compressed sensing (CS) provides a solution to this problem because of its potential of reconstructing MR images from fewer samples. Recent work has demonstrated successful application of CS to MRI. However, the frequently used sparsifying transform is the traditional discrete wavelet transform, which has shortcomings, such as oscillations, lack of directionality and shift variance. This paper implements compressed sensing MRI reconstruction based on a new kind of two-dimensional wavelet filter banks which has improved directional selectivity and approximate shift invariance. Our experiments show that the method can significantly reduce aliasing and achieve higher peak signal to noise ratio (PSNR).

关键词： Discrete wavelet transforms Magnetic resonance imaging Phantoms Image reconstruction Compressed sensing

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PrIvacy Risks And Countermeasures In Publishing And Mining Social Network Data

PrIvacy Risks And Countermeasures In Publishing And Mining S...

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International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)

作者： Chiemi Watanabe Toshiyuki Amagasa Ling Liu Department of Information Science Faculty of Science Ochanomizu University Bunkyo Tokyo Japan Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Ibaraki Japan School of Computer Science Georgia Institute of Technology Atlanta GA USA

As interests in sharing and mining social network data continue to grow, we see a growing demand for privacy preserving social network data publishing. In this paper, we discuss privacy risks in publishing social network data and the design principles for developing countermeasures. The main contributions of this study are three folds. First, to the best of our knowledge, we make the first attempt to define the utility of released data in terms of exposure levels and query types, assuming queries are the most fundamental operations in social network analysis. We argue that using information exposure levels to characterize the utility of anonymized data can be used as a general and usage-neutral metric and query types can be used as the baseline usage driven utility metric. Second, we identify two types of background knowledge based inference attacks that can break some of most representative graph permutation based anonymization techniques in terms of anonymity violations. Third but not the least, we describe some design considerations for developing countermeasures in privacy preserving social network data publishing.

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A real-time analysis of granular information: Some initial thoughts on a convex hull-based fuzzy regression approach

A real-time analysis of granular information: Some initial t...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Azizul Azhar Ramli Witold Pedrycz Junzo Watada Nureize Arbaiy Graduate School of Information Production and Systems Waseda University Kitakyushu Japan Systems Research Institute Polish Academy of Sciences Warsaw Poland Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Johor Darul Takzim Malaysia

Regression models are well known and widely used as one of the important categories of models in system modeling. In this paper, we extend the concept of fuzzy regression in order to handle real-time implementation of data analysis of information granules. An ultimate objective of this study is to develop a hybrid of a genetically-guided clustering algorithm called genetic algorithm-Fuzzy C-Means (GA-FCM) and a convex hull-based fuzzy regression approach being regarded as a potential solution to the formation of information granules. It is anticipated that the setting of Granular Computing will help us reduce the computing time, especially in case of real-time data analysis, as well as an overall computational complexity. We propose an efficient real-time granular fuzzy regression analysis based on the convex hull approach in which a Beneath-Beyond algorithm is employed to design a convex hull. In the proposed design setting, we emphasize a pivotal role of the convex hull approach, which becomes crucial in alleviating limitations of linear programming manifesting in system modeling.

关键词： Clustering algorithms Numerical models Linear regression Real time systems Prototypes Algorithm design and analysis

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Promoting Harmonization of BME Education in Europe: The CRH-BME Tempus Project

Promoting Harmonization of BME Education in Europe: The CRH-...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Nicolas Pallikarakis Zhivko Bliznakov Damijan Miklavcic Tomaz Jarm Ratko Magjarevic Igor Lackovic Leandro Pecchia Rita Stagni Akos Jobaggy Joseph Barbenel University of Patras School of Health Sciences Department of Medical Physics Biomedical Technology Unit Institute of Biomedical Technology University of Ljubljana Faculty of Electrical Engineering University of Zagreb Faculty of Electrical Engineering and Computing University of Naples - Federico II Department of Biomedical Electronic and Telecommunication Engineering University of Bologna Department of Electronics Computer Science and Systems Budapest University of Technology and Economics Department of Measurement and Information Systems University of Strathclyde

ISBN: (纸本)9781424441211

Biomedical Engineers should be prepared to adapt to existing or forecasted needs. There is a strong pressure on education, training and life long learning programs to continuously adapt their objectives in order to face new requirements and challenges. The main objective of the TEMPUS IV, CRH-BME project is to update existing curricula in the field of Biomedical engineering (BME) in order to meet recent and future developments in the area, address new emerging inter-disciplinary domains that appear as a result of the R&D progress and respond to the BME job market demands. The first step is to extensively review the curricula in the BME education field. In this paper, a proposal for a generic curriculum in the BME education is presented, in order to meet recent and future developments and respond to the demands of the BME job market. Adoption of the core program structure will facilitate harmonization of studies as well as student and staff exchange across Europe, thus promoting the European Higher Education Area.

关键词： Biology Europe Biomedical engineering Educational institutions Knowledge engineering Mathematics

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Detecting resource consumption attack over MANET using an artificial immune algorithm

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Research Journal of Applied Sciences, engineering and technology 2011年第9期3卷 1026-1033页

作者： Abdelhaq, Maha Hassan, Rosilah Ismail, Mahamod Israf, Daud School of Computer Science Faculty of Information Science and Technology University Kebangsaan Malaysia 43600 UKM Bangi Selangor Darul Ehsan Malaysia Department of Electrical Electronics and Systems Engineering Faculty of Engineering Universiti Kebangsaan Malaysia 43600 UKM Bangi Selangor Malaysia Department of Biomedical Sciences Faculty of Medicine and Healthy Sciences UPM 43400 Serdang Selangor Malaysia

The Human Immune System (HIS) is considered as a bank of models, functions, and concepts from where Artificial Immune algorithms are inspired. These algorithms are used to secure both host-based and network-based systems. However, it is not only important to utilize the HIS in producing AIS-based algorithms as much as it is important to introduce an algorithm with high performance. Therefore, creating a balance between utilizing HIS on one side and introducing the required AIS-based intrusion detection algorithm on the other side is a crucial issue which would be valuable to investigate. Securing the mobile ad hoc network (MANET) which is a collection of mobile, decentralized, and self organized nodes is another problem, which adds more challenges to the research. This is because MANET properties make it harder to be secured than the other types of static networks. We claim that AISs' properties such as being self-healing, self-defensive and self-organizing can meet the challenges of securing the MANET environment. This paper's objective is to utilize the biological model used in the dendritic cell algorithm (DCA) to introduce a Dendritic Cell Inspired Intrusion Detection Algorithm (DCIIDA). DCIIDA is introduced to detect the Resource Consumption Attack (RCA) over MANET. Furthermore, this study proposes a DCIIDA architecture which should be applied by each node in MANET. © Maxwell Scientific Organization, 2011.

关键词： Denial-of-service attack

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