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2013 ACM SIGSAC Conference on computer and Communications Security, CCS 2013

作者： Ashfaq, Ayesha Binte Ali, Muhammad Qasim Al-Shaer, Ehab Khayam, Syed Ali School of Electrical Engineering and Computer Science National University of Sciences and Technology Islamabad Pakistan Department of Software and Information Systems University of North Carolina Charlotte Charlotte NC United States PLUMgrid Inc. Sunnyvale CA United States

ISBN: (纸本)9781450324779

The inherent design of anomaly detection systems (ADSs) make them highly susceptible to evasion attacks and hence their wide-spread commercial deployment has not been witnessed. There are two main reasons for this: 1) ADSs incur high false positives;2) Are highly susceptible to evasion attacks (false negatives). While efforts have been made to minimize false positives, evasion is still an open problem. We argue that ADSs design is inherently flawed since it relies on the ADS's detection logic and feature space which is trivial to estimate. In information security e.g. cryptographic algorithms (such as DES), security is inherently dependent upon the key and not the algorithm, which makes these systems very robust by rendering evasion computationally infeasible. We believe there is a need to redesign the anomaly detection systems similar to cryptographic systems. We propose to randomize the feature space of an ADS such that it acts as a cryptographic key for the ADS and hence this randomized feature space is used by the ADS logic for detection of anomalies. This would make the evasion of the ADS computationally infeasible for the attacker. © 2013 Authors.

关键词： Feature extraction

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Building a laboratory surveillance system via a wireless sensor network

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8th International Conference on Grid and Pervasive Computing, GPC 2013

作者： Lei, Chi-Un Seon, J.K. Shen, Zhun Lokman, Ka Hughes, Danny Kim, Youngmin Department of Electrical and Electronic Engineering University of Hong Kong Pokfulam Road Hong Kong Hong Kong LS Industrial Systems Korea Republic of Department of Computer Science and Software Engineering Xi'an Jiaotong-Liverpool University Suzhou China Myongji University Korea Republic of Baltic Institute of Advanced Technology Lithuania Department of Computer Science KU Leuven Flanders Belgium UNIST Academy-Industry Research Corporation Korea Republic of

ISBN: (纸本)9783642380266

Contemporary technical experimentations become complicated. Therefore, a smart laboratory environment is needed for effective laboratory activities. In particular, a monitoring/surveillance system is needed to detect and regulate extreme ambient conditions in the laboratory. In this paper, we describe how a thermal comfort laboratory surveillance system is constructed via the deployment of a wireless sensor network (WSN). In order to prolong system lifetime as well as improve system reliability, a habit-based adaptive sensing mechanism has been proposed. Evaluations of on-site deployment results indicate the functionality and feasibility of the proposed WSN. © 2013 Springer-Verlag.

关键词： Wireless sensor networks

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Metalogue: A Multiperspective Multimodal Dialogue System with Metacognitive Abilities for Highly Adaptive and Flexible Dialogue Management

Metalogue: A Multiperspective Multimodal Dialogue System wit...

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International Conference on Intelligent Environments (IE)

作者： Jan Alexandersson Maria Aretoulaki Nick Campbell Michael Gardner Andrey Girenko Dietrich Klakow Dimitris Koryzis Volha Petukhova Marcus Specht Dimitris Spiliotopoulos Alexander Stricker Niels Taatgen German Research Centre for Artificial Intelligence GmbH (DFKI) Saarbrücken Germany Interaction Design Lab University of Peloponnese Greece Department of Spoken Language Systems Universität des Saarlandes Saarbrücken Germany Hellenic Parliament Athens Greece Department of Artificial Intelligence University of Groningen Netherlands Teaching and Technology Open University of the Netherlands (OUNL) Trinity College School of Linguistic Speech and Communication Sciences Dublin Ireland DialogConnection Ltd Manchester UK Charamel GmbH Cologne Germany School of Computer Science and Electronic Engineering University of Essex UK

This poster paper presents a high-level description of the Metalogue project that is developing a multi-modal dialogue system that is able to implement interactive behaviors that seem natural to users and is flexible enough to exploit the full potential of multimodal interaction. We provide an outline of the initial work undertaken to define a an open architecture for the integrated Metalogue system. This system includes components that are necessary for the implementation of the processing stages for a variety of application domains: initialization, training, information gathering, orchestration, multimodality, dialogue management, speech recognition, speech synthesis and user modelling.

关键词： Educational institutions computer architecture Speech Artificial intelligence Natural languages Context Training

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School essentials for 21st century learning: Connect, collaborate, create, contextualise

School essentials for 21st century learning: Connect, collab...

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International Conference on Information Society (i-Society)

作者： Frantzeska Kolyda Vassiliki Bouki Department of Computer Science & Software Engineering University of Westminster London UK Department of Business Information Systems University of Westminster London UK

Children need to learn at school the things that matter in the 21st century. What does really matter though and what does 21st century's primary school learning involve? This paper seeks to explore what this involves and the role that educational technology plays particularly in primary school mathematics. Nowadays children learn through connections and collaborations facilitated by technology that could then lead to knowledge creation. Nevertheless, there is no technology that has an impact on learning on its own. This depends on how it used. In order to address this further we present a set of recommendations that could be relevant to educators, researchers, policymakers and the industry.

关键词： Industries Educational institutions Pediatrics

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Smart Development Process Enactment Based on Context Sensitive Sequence Prediction

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Journal of computer and Communications 2013年第5期1卷 32-39页

作者： Andreas Rausch Michael Deynet 1Chair of Software Systems Engineering Department of Computer Science TU Clausthal Clausthal-Zellerfeld Germany 2Embed- ded Systems Development Fraunhofer IESE Kaiserslautern Germany.

Actual software development processes define the different steps developers have to perform during a development project. Usually these development steps are not described independently from each other—a more or less formal flow of development step is an essential part of the development process definition. In practice, we observe that often the process definitions are hardly used and very seldom “lived”. One reason is that the predefined general process flow does not reflect the specific constraints of the individual project. For that reasons we claim to get rid of the process flow definition as part of the development process. Instead we describe in this paper an approach to smartly assist developers in software process execution. The approach observes the developer’s actions and predicts his next development step based on the project process history. Therefore we apply machine learning resp. sequence learning approaches based on a general rule based process model and its semantics. Finally we show two evaluations of the presented approach: The data of the first is derived from a synthetic scenario. The second evaluation is based on real project data of an industrial enterprise.

关键词： software engineering software Process Description languages software Processes Process Enactment Process Improvement Machine Learning Sequence Prediction

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Technical debt: From source to mitigation

Technical debt: From source to mitigation

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4th Annual ACM International Conference on systems, Programming, languages, and Applications: software for Humanity, SPLASH 2013

作者： Fraser, Steven Mancl, Dennis Opdyke, Bill Bishop, Judith Kathail, Pradeep Lacar, Junilu Ozkaya, Ipek Szynkarski, Alexandra Cisco Research Center Cisco Systems San Jose United States Alcatel-Lucent Murray Hill NJ United States Corporate Internet Group JPMorgan Chase Chicago United States Department of Computer Science Microsoft Research Redmond WA United States Cisco Systems San Jose United States Cisco Systems OH United States Software Engineering Institute United States CAST Software Research Labs United States

ISBN: (纸本)9781450319959

The term "Technical Debt" was coined over 20 years ago by Ward Cunningham in a 1992 OOPSLA experience report. Ward used "Technical debt" to describe the trade-offs between delivering the most appropriate - Albeit likely immature - product, in the shortest time possible. Since then, the repercussions of "technical debt" have become more visible, though not necessarily more widely understood. This SPLASH panel will bring together practitioners to discuss and debate "Technical Debt". Copyright © 2013 by the Association for Computing Machinery, Inc. (ACM).

关键词： Economic and social effects

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Analysis and Efficient Onset Time Detection of Acoustic Emission Signals with Power Constrained Sensor Platforms

Analysis and Efficient Onset Time Detection of Acoustic Emis...

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IEEE Sensors

作者： Benjamin Babjak Sandor Szilvasi Peter Volgyesi Ozgur Yapar Prodyot K. Basu Institute for Software Integrated Systems Department of Electrical Engineering and Computer Science Vanderbilt University Nashville Tennessee Department of Civil & Environmental Engineering Vanderbilt University Nashville Tennessee

ISBN: (纸本)9781467346412

In this paper we describe our custom designed, low-power, intelligent sensor platform, and a novel analysis approach for Structural Health Monitoring (SHM). More specifically we show how Acoustic Emission (AE) signals were recorded during aluminium and steel beam break tests utilizing two channels on our MarmotE platform, and how subsequent low-resource but accurate onset time detection yielded Time Difference of Arrival (TDoA) results. We also demonstrate a new, simplified method to pick valid AE events from a vast set of noisy measurements, and prove the feasibility of our ideas by showing that our approach provided results comparable to widely used industry methods with modest resource requirements.

关键词： acoustical emissions time of onset resource requirements Platform Time difference of arrival TimeDif aluminium 2-channel signals

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UCC 2013: Message from the conference organization chairs

Proceedings - 2013 IEEE/ACM 6th International Conference on ...

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Proceedings - 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing, UCC 2013 2013年 xv-xvi页

作者： Buyya, Rajkumar Schill, Alexander Spillner, Josef Laboratory Department of Computer Science and Software Engineering University of Melbourne Australia Department of Computer Science Institute for Systems Architecture Technische Universität Dresden Germany Technische Universität Dresden Germany

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A Hybrid Emotion Recognition on Android Smart Phones

A Hybrid Emotion Recognition on Android Smart Phones

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Weishan Zhang Xin Meng Qinghua Lu Yuan Rao Jiehan Zhou Department of Software Engineering China University of Petroleum Qingdao China Software Systems Research Group National ICT Australia (NICTA) College of Software Engineering Xi'an Jiaotong University Xi'an China Department of Computer Science and Engineering University of Oulu Oulu Finland

ISBN: (纸本)9781479906314

Awareness of emotion status of people is fairly important for aged ones, the ones with sub-health status, and various patients in order to keep them in good mood. The emotion recognition at run time is intrinsically challenging due to its complexity nature. On the one hand, the awareness of human emotion should be achieved as non-intrusive as possible. On the other hand, the android smart phones on the market are increasingly popular which are equipped with various sensors that can be used to achieve the awareness of emotion status. In this paper, we propose an approach based on the heart beat rate and contents of user's talk, which are obtained from built-in camera and microphone on smart phones. We first classify anger, joy, normal, and sadness based on heart rates, then the emotion recognition is further improved by emotional key words in a talk. We have evaluated this approach in terms of recognition accuracy and power consumption found that the accuracy can achieve 84.7%.

关键词： Emotion recognition Heart rate Smart phones Speech recognition Accuracy Biomedical monitoring Cameras

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Biometric Security Application for Person Authentication Using Retinal Vessel Feature

Biometric Security Application for Person Authentication Usi...

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Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： Akter Hussain Alauddin Bhuiyan Ajmal Mian Kotagiri Ramamohanarao Computer Science and Engineering Shahjalal University of Science and Technology Sylhet Bangladesh Commonwealth Scientific and Industrial Research Organization ICT Centre WA Australia Department of Computer Science and Software Engineering University of Western Australia Australia Department of Computer Science and Information Systems The University of Melbourne Australia

Retinal vascular branch and crossover points are unique features for each individual that can be used as a reliable biometric for personal authentication and can be used for information retrieval and security application. In this work, a novel biometric authentication scheme is proposed based on the retinal vascular network features. We apply an automatic technique to detect and identify retinal vascular branch and crossover points. These branch and crossover points are mapped from prominent blood vessels in the image. For this, a novel vessel width measurement method is applied and vessels more than certain widths are selected. Based on these vessel segments their corresponding branch and crossover points are identified. Invariant features are constructed through Geometric Hashing of the detected branch and crossover points. We consider the crossover points for modelling a basis pair and all other points together for locations in the hash table entries. Thus, the models are invariant to rotation, translation and scaling. For each person, the system is trained with the models to accept or reject a claimed identity. The initial results show that the proposed method has achieved 100% detection accuracy which is highly potential for reliable person identification.

关键词： Retina Image segmentation Authentication Feature extraction Biomedical imaging Reliability Blood vessels

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