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A k-anonymization algorithm on social network data that reduces distances between nodes 33

A k-anonymization algorithm on social network data that redu...

引用

2014 IEEE 33rd International Symposium on Reliable Distributed systems Workshops, SRDSW 2014

作者： Okada, Rina Watanabe, Chiemi Kitagawa, Hiroyuki Department of Computer Science Graduate School of S.I.E. University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan Faculty of Engineering Information and Systems University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan

ISBN: (纸本)9781479973613

To provide social network data (SN) data to researchers for data analysis, protecting user privacy via anonymization is necessary. One anonymization metric for SN data called k-neighbor focuses on the neighborhood subgraphs, which, for each node, consists of the node's neighbor nodes. This metric ensures that the neighborhood subgraph of every node in the anonymized graph is isomorphic to at least k other neighborhood subgraphs, however, the existing algorithm to realize k-neighbor does not consider case that adding noise edges for anonymization may drastically change the distances of some pairs of nodes, which in turn may alter the structure of the original graph. To solve this problem, we propose an algorithm that focuses on a method to add noise edges such that the change of the distances of the pairs of nodes is suppressed. Through our experiments, we have confirmed that our algorithm maintains the given distances between nodes in the anonymized graph. © 2014 IEEE.

关键词： Graph theory

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Enhancing security performance with parallel crypto operations in SSL bulk data transfer phase

Enhancing security performance with parallel crypto operatio...

引用

IEEE International Conference on Telecommunications and Malaysia Communications (ICT-MICC)

作者： Hashem Mohammed Alaidaros Mohd Fadlee A. Rasid Mohamed Othman Raja Syamsul Azmir Raja Abdullah Department of Computer and Communication Systems Engineering Faculty of Engineering Universiti Putra Malaysia Malaysia Department of Communication Technology and Network Faculty of Computer Science and Information Technology Universiti Putra Malaysia Malaysia

information security, including integrity and privacy, is an important concern among today's computer users due to increased connectivity. Despite a number of secure algorithms that have been proposed, the trade-offs made between security and performance demands further research toward improvement. In bulk data transfer, especially in large messages, the secured processing time takes much longer than non-secured processes. This is due to crypto operations, which include symmetric encryption operations and hashing functions. In the current bulk data transfer phase in secure socket layer (SSL), the server or the client firstly calculates the message authentication code (MAC) of the data using keyed-hash message authentication code (HMAC) operation, and then performs the symmetric encryption on the data together with the MAC. This paper proposes a new algorithm which provides a significant performance gain in bulk data transfer without compromising the security. The proposed algorithm performs the encryption of the data and the calculation of the MAC in parallel. The server calculates the MAC of the data at the same time as the encryption process of the data. Once the calculation of the MAC is completed, only then the MAC will be encrypted. The algorithm was simulated in two processors with one processor performing the MAC calculation and the other on encrypting the data, simultaneously. The communication between the two processors was done via message passing interface (MPI). Based on the performance simulations, the new parallel algorithm gained speedup of 1.74 with 85% efficiency over the current (sequential) algorithm.

关键词： Data security Cryptography information security Communication system security Concurrent computing Message authentication Parallel processing computer security computer networks Data engineering

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Integration of updated DeLone & McLean success model, KANO model and QFD to analyze quality of an information system

Integration of updated DeLone & McLean success model, KANO m...

引用

International Conference on Informatics and Computing (ICIC)

作者： Erma Nindiaswari Fatimah Azzahro Achmad Nizar Hidayanto Solikin Gitik Pornthep Anussornnitisarn Faculty of Computer Science Universitas Indonesia Department of Information Systems STMIK Bina Insani Bekasi Department of Industrial Engineering Kasetsart University

ISBN: (纸本)9781509016495

Studies on information system success and evaluation have been done for several decades. However, an evaluation should be followed by system improvement to give practical contribution to organization. This study proposes an integrated step to evaluate an IS success and analyze its improvement opportunities based on user requirements. To aim this objective, DeLone & McLean success model, KANO model and QFD concept are utilized. A case study of Electronic Disposition and Mailing System (EDMS) in Ministry of State Secretariat Indonesia is presented to illustrate the use of proposed method. The results indicate that priorities of needs are different before and after the integration of Kano's Model in QFD.

关键词： Quality function deployment Computational modeling Informatics Analytical models Organizations ISO Standards

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Foreword

Foreword

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作者： Abawajy, Jemal Xu, Zheng Atiquzzaman, Mohammed Zhang, Xiaolu Faculty of Science Engineering and Built Environment Deakin University GeelongVIC Australia School of Computer Engineering and Sciences Shanghai Polytechnic University Shanghai China School of Computer Science University of Oklahoma NormanOK United States Department of Information Systems and Cyber Security The University of Texas at San Antonio San AntonioTX United States

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A comparison of part of speech taggers in the task of changing to a new domain

A comparison of part of speech taggers in the task of changi...

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International Conference on information Intelligence and systems

作者： L. Boggess J.S. Hamaker R. Duncan L. Klimek Yufeng Wu Yu Zeng KUDZU Laboratory for Applied Intelligent Systems Research Department of Computer Science Mississippi State University USA ISIP (Institute for Signal and Information Processing) College of Engineering Mississippi State University USA Laboratory for Applied Intelligent Systems Research Department of Computer Science Mississippi State University USA

Part-of-speech tagging in real-world applications is performed on text in domains which are different from the publicly available large training data sets. The two most successful part-of-speech taggers are trained on the Wall Street Journal corpus, a corpus of millions of words. We compare their performance on a test set from a different domain-astronomy-from documents that are available on the World Wide Web. The Maximum Entropy Part of Speech Tagger (MXPOST) and the Transformation-Based Learning Tagger are well-known and widely used in language research and development systems. The two taggers were tested in several modes: (1) after training on the Wall Street Journal corpus only, (2) after training on only a small body of text from our astronomy domain, (3) with and without an auxiliary lexicon derived from many astronomy-related Web documents, and (4) after incremental training-that is, having been trained on the Wall Street Journal, with additional training from the specific domain. One conclusion from the experiment is that different taggers exhibit different biases when trained on the same data.

关键词： Speech Tagging Laboratories Testing Natural languages Electrical capacitance tomography Entropy Natural language processing Data mining Research and development

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Arabic Abstractive Summarization Using the Multilingual T5 Model

Arabic Abstractive Summarization Using the Multilingual T5 M...

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Computing and Informatics (ICCI), International Conference on

作者： Abdelrhman A. Karim Mohammed Usama Manar A. Ibrahim Youssef Hatem Waleed Wael Ahmad T. Mazrua Ghada K. El-Monayer Magy Elbanhawy Khaled Foad Ibrahim F. Moawad Artificial Intelligence Engineering Department Faculty of Computer Science and Engineering New Mansoura University Dakhlia Egypt Computer Engineering Department Faculty of Computer Science and Engineering New Mansoura University Dakhlia Egypt Faculty of Computer Science and Engineering New Mansoura University Dakhlia Egypt Computer and System Department Faculty of Engineering Portsaid University Egypt Information Systems Faculty of Computers and Artificial Intelligence Benha University Egypt Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt

Natural language processing (NLP) is a branch of artificial intelligence (AI) that enables computers to comprehend, generate, and manipulate human language. Natural language processing can interrogate the data with natural language text or voice. Abstractive Text Summarization is based on the Natural Language Processing technique that tries to provide new and more concise textual summaries for huge texts. Artificial intelligence and deep learning techniques are used in abstractive summarization to examine the text's essential information and create a new summary that conveys the content more concisely and accurately. This type of summary differs from normal extractive summarizing in that it can generate new summaries beyond simply extracting key lines from the source text. This study presents an abstractive Arabic summarization based on the Multilingual T5 (MT5) model AASMT5 to address these concerns. This technique is based on deep neural networks and models like transformers, which have changed the ability to summarize text. This research has explored the various types of summarizations and highlighted the significance of two prominent techniques: abstractive and extractive summarization. This research describes a complete process for developing an Arabic abstractive summarization model using the MT5 architecture. Experiments on different datasets show that this model achieves state-of-the-art results across MT5.

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‘Do Not Disturb’: An Implication Design To Be Alerted But Less Stress

‘Do Not Disturb’: An Implication Design To Be Alerted But ...

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International Seminar on Application for Technology of information and Communication (ISemantic)

作者： Weerachaya Jarupreechachan Kotcharat Kitchat Thattapon Surasak Dept. of Computer Engineering Faculty of Engineering at Kamphaeng Saen Kasetsart University Nakhon Pathom Thailand Dept. of Computer Science and Information Engineering National Central University Taoyuan Taiwan Dept. of Computer and Information Science Faculty of Applied Science King Mongkut’s University of Technology North Bangkok Bangkok Thailand

The pervasive utilization of smartphones, while augmenting personal and professional communications, also elicits mental stress and disrupts the work-life balance. Users necessitate staying connected to critical updates without undue disruption, necessitating an optimized, user-friendly smartphone interface. However, current "Do Not Disturb (DND)" features fall short of providing the desired customization options, thereby contributing to heightened anxiety and diminished productivity. Consequently, this study proposes a design modification to the DND mode by incorporating an "Exceptional Apps Notification", feature thereby aiding in alleviating stress and enhancing focus by permitting essential alerts from selected apps or contacts. In other words, the users only need to turn off notifications for specific applications, not every application. This approach addresses the problem of users fearing they will miss some important notifications. Therefore, the design process employed principles of selective attention and color theory, and user experience was assessed through questionnaires and psycho-physiological feedback. Early findings suggest the potential for stress reduction, albeit with opportunities for further optimization, such as including a memory feature for user preferences and allowing selective access for specific contacts.

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Optimizing pervasive sensor data acquisition utilizing missing values substitution 10

Optimizing pervasive sensor data acquisition utilizing missi...

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3rd International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2010

作者： Michalopoulos, M. Maglogiannis, Ilias Anagnostopoulos, C. Doukas, Charalampos Hadjiefthymiades, S. Faculty of Informatics Hellenic Open University Greece University of Central Greece Dep. of Computer Science and Bioinformatics Lamia Greece Dept. of Informatics and Telecommunications University of Athens Ilissia Athens Greece University of the Aegean Dep. of Information and Communication Systems Engineering Samos Greece

ISBN: (纸本)9781450300711

Acquisition of pervasive sensor data can be often unsuccessful due to power outage at nodes, time synchronization issues, interference, network transmission failures or sensor hardware issues. Such failures can lead to inadequate data delivery to the monitoring applications resulting in erroneous conclusions. This paper presents a missing values substitution framework that addresses the aforementioned issue. The presented framework has been evaluated within a pervasive sensor monitoring environment that collects and transmits patient health related data and results have been presented. Copyright © 2010 ACM.

关键词： Outages

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Molecular-dynamics study on fracutre property of amorphous metal with crystallization

Molecular-dynamics study on fracutre property of amorphous m...

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11th International Conference on Fracture 2005, ICF11

作者： Matsumoto, R. Nakagaki, M. Nakatani, A. Kitagawa, H. Department of Mechanical Information Science and Technology Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka-City Fukuoka 820-8502 Japan Department of Adaptive Machine Systems Graduate School of Engineering Osaka University 2-1 Yamada-Oka Suita-City Osaka 565-0871 Japan Department of Energy and Mechanical Engineering Faculty of Engineering Doshisha University 1-3 Tatara Tsudani Kyotanabe-City Kyoto 610-0394 Japan

ISBN: (纸本)9781617820632

The fracture property of amorphous metal was studied by a large scale molecular dynamics (MD) simulation. The Finnis-Sinclair potential for α-iron was used as an inter-atomic potential. At first, we made a model amorphous metal by melting-rapid quenching simulation. And then a crystal growth simulation in the amorphous was performed. We used circular model, and the cracktip is assumed to be at the center. In order to analyze the crack growth characteristics in an infinite domain, the linear elastic solution of Mode I crack was used as a boundary condition. The periodic boundary condition was used to the thickness direction. The crack opens in similar fashion and it has smooth surfaces during the amorphous state. As it deformed, some clusters of bcc-crystal nucleate around the cracktip and they grow rapidly. The distribution of deformation zones and deformation mechanism are significantly altered. The grains are not deformed while they are relatively small. The emission of dislocations from the cracktip is observed, after the crystal phase covered the crack-tip surfaces. The grain size appeared small in the vicinity of the crack-tip, and becomes gradually large as it separates form the crack-tip.

关键词： Crack tips

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Potential issues in novel computational research: artificial immune systems

Potential issues in novel computational research: artificial...

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IEEE International Conference on Multi Topic

作者： N. Iqbal M.A. Maarof Group on Artificial Immune Networks and Security (GAINS) Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia Skudai Johor Malaysia

Recent trends in computational research show the significance of computation-based biological research, for example, bioinformatics and system biology, and biologically inspired computational research, which includes genetic algorithms, artificial neural networks, and evolutionary programming. Artificial immune systems (AIS) is a novel computing paradigm inspired from the human immune system (HIS). The dramatic features of HIS like distributability, uniqueness, adaptability, mobility, imperfect-detection, and anomaly-detection, have grabbed the attention of computational researchers for adopting HIS principles to design AIS that are robust, scalable, highly flexible, resilient to sub-versioning, and degrade gracefully. Designers of AIS make use of their creative abilities for designing computational systems by extracting corresponding metaphors from HIS. AIS is growing as a core paradigm for a wide application area including: intrusion detection, data analysis, pattern recognition, optimization, robotics, distributed control, and bioinformatics etc. The field of AIS, being in its infancy, bears enormous research potential. This work aims to throw light on some prospective research issues in the field. The effort is based on (1) latest research references and (2) our experience for pioneering AIS based research infrastructure in the Universiti Teknologi Malaysia (UTM). It may help new researchers to jump start AIS research and save their precious time.

关键词： Artificial immune systems Biology computing computer networks Bioinformatics systems biology Genetic algorithms Artificial neural networks Genetic programming Humans Immune system

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