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The impact of resource consumption attack on mobile ad-hoc network routing

International Journal of Network Security 2014年第5期16卷 376-381页

作者： Abdelhaq, Maha Alsaqour, Raed Al-Hubaishi, Mohammed Alahdal, Tariq Uddin, Mueen School of Computer Science Faculty of Information Science and Technology University Kebangsaan Malaysia 43600UKM Bangi Selangor Darul Ehsan Malaysia Faculty of Computer Science and Information System Thamar University Thamar Yemen LAB FCT-DEEI Universidade Algarve Portugal Faro Portugal Kulliah of Information and Communication Technology International Islamic University Malaysia Malaysia Asia Pacific University of Technology and Innovation Kuala Lumpur Malaysia

Mobile Ad Hoc Network (MANET) is a temporary network of mobile nodes where mobile nodes communicate with each other through wireless links with no fixed infrastructure and no centralized control. Each mobile node in such a scenario acts as both a router and host. Security is an important issue in the MANET environment because of its dynamic topology and limited range of each mobile host's wireless transmissions. This paper introduces a simulation-based study for the impact of Resource Consumption Attack (RCA) on MANET performance. RCA is one of the Denial of Service attacks (DoS) in which the attacker keeps broadcasting Route Request (RREQ) packets in order to degrade the network overall performance. Specifically, this paper examined how differing the number of attackers and their positions could affect MANET packet delivery ratio and delay jitter. The paper results open the door for suggesting an intrusion detection system in order to mitigate and prevent RCA terrible effects on MANET.

关键词： Mobile ad hoc networks

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Inaugurating a new International Journal:Digital Communications and Networks (DCN) Welcome from the Editors-in-Chief

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Digital Communications and Networks 2015年第1期 5+3-4页

作者： Chonggang Wang Huosheng Hu Jinzhao Lin the Innovation Lab InterDigital Communications King of Prussia PA the School of Computer Science & Electronic Engineering at the University of Essex in the United Kingdom Chongqing University of Posts and Telecommunication (CQUPT) Chongqing Municipal-Level Key Laboratory of Optical-Electronic Information Sensing and Transmitting (PIST) Chongqing Municipal-Level Inovative Team of Core Technology in Intelligent Medical System

We are pleased and excited to introduce you to this inaugural issue of Digital Communications and Networks(DCN)—a new,international,fully open access journal focused on a rapidly evolving information technology having significant impact on people's daily *** primary aim of DCN is to enable easy and swift dissemination and exchange of technical advances in the field of digital communication systems and networks.

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International Society for Therapeutic Ultrasound Conference 2016

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Journal of Therapeutic Ultrasound 2017年第1期5卷 1-114页

作者： Brian Fowlkes Pejman Ghanouni Narendra Sanghvi Constantin Coussios Paul C. Lyon Michael Gray Christophoros Mannaris Marie de Saint Victor Eleanor Stride Robin Cleveland Robert Carlisle Feng Wu Mark Middleton Fergus Gleeson Jean-Franҫois Aubry Kim Butts Pauly Chrit Moonen Jacob Vortman Shirley Sharabi Dianne Daniels David Last David Guez Yoav Levy Alexander Volovick Javier Grinfeld Itay Rachmilevich Talia Amar Zion Zibly Yael Mardor Sagi Harnof Michael Plaksin Yoni Weissler Shy Shoham Eitan Kimmel Omer Naor Nairouz Farah Dong-Guk Paeng Zhiyuan Xu John Snell Anders H. Quigg Matthew Eames Changzhu Jin Ashli C. Everstine Jason P. Sheehan Beatriz S. Lopes Neal Kassell Thomas Looi Vera Khokhlova Charles Mougenot Kullervo Hynynen James Drake Michael Slayton Richard C. Amodei Keegan Compton Ashley McNelly Daniel Latt John Kearney David Melodelima Aurelien Dupre Yao Chen David Perol Jeremy Vincenot Jean-Yves Chapelon Michel Rivoire Wei Guo Guoxin Ren Guofeng Shen Michael Neidrauer Leonid Zubkov Michael S. Weingarten David J. Margolis Peter A. Lewin Nathan McDannold Jonathan Sutton Natalia Vykhodtseva Margaret Livingstone Thiele Kobus Yong-Zhi Zhang Michael Schwartz Yuexi Huang Nir Lipsman Jennifer Jain Martin Chapman Tejas Sankar Andres Lozano Robert Yeung Christakis Damianou Nikolaos Papadopoulos Omer Brokman Eyal Zadicario Ori Brenner David Castel Shih-Ying Wu Julien Grondin Wenlan Zheng Marc Heidmann Maria Eleni Karakatsani Carlos J. Sierra Sánchez Vincent Ferrera Elisa E. Konofagou Marinos Yiannakou HongSeok Cho Hwayoun Lee Mun Han Jong-Ryul Choi Taekwan Lee Sanghyun Ahn Yongmin Chang Juyoung Park Nicholas Ellens Ari Partanen Keyvan Farahani Raag Airan Alexandre Carpentier Michael Canney Alexandre Vignot Cyril Lafon Jean-yves Delattre Ahmed Idbaih Henrik Odéen Bradley Bolster Eun Kee Jeong Dennis L. Parker Pooja Gaur Xue Feng Samuel Fielden Craig Meyer Beat Werner William Grissom Michael Marx Hans Weber Valentina Taviani Brian Hargreaves Jun Tanaka Kentaro Kikuchi Ayumu Ishijima Takashi Azuma Kosuke Minamihata Satoshi Basic Radiological Sciences Division Department of Radiology University of Michigan Ann Arbor USA Stanford School of Medicine Stanford USA SonaCare Medical Indianapolis USA Institute of Biomedical Engineering University of Oxford Oxford UK HIFU Unit Churchill Hospital Oxford UK Department of Oncology University of Oxford Oxford UK Department of Radiology Churchill Hospital Oxford UK Institut Langevin Paris France Center for Imaging Sciences Imaging Division University Medical Center Utrecht The Netherlands InSighTec Haifa Israel Sheba Medical Center Ramat-Gan Israel Tel-Aviv University Tel-Aviv Israel Faculty of Biomedical Engineering & Russell Berrie Nanotechnology Institute Technion – Israel Institute of Technology Haifa Israel ELSC Center for Brain Sciences Hebrew University Jerusalem Israel Biomedical Engineering Technion- Israel Institute of Technology Haifa Israel Faculty of Life Sciences Bar Ilan University Ramat Gan Israel Focused Ultrasound Foundation Charlottesville USA Ocean System Engineering Jeju National University Jeju Republic of Korea Neurosurgery University of Virginia Charlottesville USA Biology University of Virginia Charlottesville USA Pathology University of Virginia Charlottesville USA Hospital for Sick Children Toronto Canada University of Toronto Toronto Canada University of Washington Seattle USA Philips Healthcare Markham Canada Sunnybrook Research Institute Toronto Canada Guided Therapy Systems LLC Mesa USA School of Medicine University of Arizona Tucson USA The CORE Institute Phoenix USA LabTAU - U1032 INSERM Lyon France Centre Leon Berard Lyon France Department of Oral Maxillofacial and Head Neck Oncology Shanghai 9th People’s Hospital Shanghai China The School of Biomedical Engineering Science and Health Systems Drexel University Philadelphia USA Department of Surgery College of Medicine Drexel University Philadelphia USA Biostatistics and Epidemiology University of Pennsylvania Philadelphi

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Proceedings of the 23rd Paediatric Rheumatology European Society Congress: part three Abstracts

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PEDIATRIC RHEUMATOLOGY 2017年第1期15卷 203-259页

作者： [Anonymous] Pediatria II Reumatologia Istituto Giannina Gaslini Genoa Italy Radiologia Istituto Giannina Gaslini Genoa Italy University of Trieste Trieste Italy Division of Rheumatology Ospedale Pediatrico Bambino Gesù IRCCS Roma Italy Institute for Maternal and Child Health - IRCCS “Burlo Garofolo” Trieste Italy Pediatric Rheumatology Uludag University Medical Faculty Bursa Turkey Department of Pediatrics Nippon Medical School Tokyo Japan Division of Physiotherapy and Rehabilitaiton Faculty of Health Sciences Istanbul University Istanbul Turkey Department of Computer Engineering Gebze Institute of Technology Kocaeli Turkey Department of Pediatric Rheumatology Medical Faculty of Cerrahpasa Istanbul University Istanbul Turkey Department of Paediatric Rheumatology and Psychology Alder Hey Children’s NHS Foundation Trust Liverpool UK Department of Women’s and Children’s Health Institute of Translational Medicine Liverpool UK UK Experimental Arthritis Treatment Centre for Children University of Liverpool Liverpool UK Rheumatology Hospital for Sick Children Toronto Canada Pediatrics University of Toronto Toronto Canada Child Evaluative Health Sciences The Hospital for Sick Children Toronto Canada Lawrence S. Bloomberg Faculty of Medicine University of Toronto Toronto Canada Psychology University of Kansas Medical Center Lawrence USA Rheumatology IWK Health Center Halifax Canada Rheumatology Alberta children’s Hospital Calgary Canada Ingram School of Nursing Mcgill University Montreal Canada Child Health Evaluative Sciences Hospital for Sick Children Toronto Canada Rheumatology Children’s Hospital of Western Ontario London Canada Rheumatology CHU Ste-Justine Montreal Canada Rheumatology Montreal Children’s Hospital Montreal Canada Pediatrics Memorial University of Newfoundland St John’s Canada Pediatrics Children’s Hospital of Eastern Ontario Ottawa Canada Research Innovation and Knowledge Translation IWK Health Center Halifax Canada Pediatrics

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HCI for peace: From idealism to concrete steps

HCI for peace: From idealism to concrete steps

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作者： Hourcade, Juan Pablo Nelson, Mark Bullock-Rest, Natasha E. Ben, Shneiderman Friedman, Batya Zaphiris, Panayiotis Department of Computer Science University of Iowa Iowa City IA 52242 United States Stanford Peace Innovation Lab. Stanford University Stanford CA 94305 United States Department of Computer Science University of Iowa Iowa City IA 52242 United States Human-Computer Interaction Laboratory University of Maryland College Park MD 20742 United States Information School University of Washington Seattle WA 98105 United States Department of Multimedia and Graphic Arts Cyprus University of Technology Limassol 3603 Cyprus

ISBN: (纸本)9781450302289

This panel will contribute diverse perspectives on the use of computer technology to promote peace and prevent armed conflict. These perspectives include: the use of social media to promote democracy and citizen participation, the role of computers in helping people communicate across division lines in zones of conflict, how persuasive technology can promote peace, and how interaction design can play a role in post-conflict reconciliation.

关键词： Social networking (online)

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Reports of the AAAI 2010 spring symposia

Reports of the AAAI 2010 spring symposia

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作者： Barkowsky, Thomas Bertel, Sven Broz, Frank Chaudhri, Vinay K. Eagle, Nathan Genesereth, Michael Halpin, Harry Hamner, Emily Hoffmann, Gabe Hölscher, Christoph Horvitz, Eric Lauwers, Tom McGuinness, Deborah L. Michalowski, Marek Mower, Emily Shipley, Thomas F. Stubbs, Kristen Vogl, Roland Williams, Mary-Anne Cognitive Systems Group University of Bremen Research Center SFB/TR 8 Spatial Cognition Germany Human Factors Division Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign IL United States Adaptive Systems Research Group Computer Science Department University of Hertfordshire United Kingdom Artificial Intelligence Center at SRI International United States Txteagle Inc. MIT Media Laboratory United States Computer Science Department Stanford University United States University of Edinburgh United Kingdom Robotics Institute Carnegie Mellon University United States Palo Alto Research Center United States Center for Cognitive Science University of Freiburg Germany CREATE lab Carnegie Mellon Robotics Institute United States Rensselaer Polytechnic Institute United States University of Southern California United States Department of Psychology Temple University Spatial Intelligence and Learning Center United States IRobot Corporation United States Stanford Program in Law Science and Technology Stanford University Law School United States Innovation and Enterprise Research Laboratory University of Technology Sydney Australia

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of computer science, presented the 2010 Spring Symposium Series Monday through Wednesday, March 22-24, 2010, at Stanford University. The titles of the seven symposia were Artificial Intelligence for Development;Cognitive Shape Processing;Educational Robotics and Beyond: Design and Evaluation;Embedded Reasoning: Intelligence in Embedded Systems;Intelligent Information Privacy Management;It's All in the Timing: Representing and Reasoning about Time in Interactive Behavior;and Linked Data Meets Artificial Intelligence. Copyright © 2010.

关键词： Embedded systems

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EEG data Classification: Review and Taxonomy

ACM Transactions on Computing for Healthcare

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ACM Transactions on Computing for Healthcare 1000年

作者： Asma Belhadi Anis Yazidi Pedro G. Lind Youcef Djenouri Department of Computer Science OsloMet – Oslo Metropolitan University N-0130 Oslo Norway OsloMet Artificial Intelligence Lab Pilestredet 52 N-0166 Oslo Norway Department of Informatics University of Oslo 0316 Oslo Norway Department of Computer Science OsloMet – Oslo Metropolitan University N-0130 Oslo Norway School of Economics Innovation and Technology Kristiania University of Applied Sciences 0153 Oslo Norway Simula Research Laboratory Numerical Analysis and Scientific Computing 0164 Oslo Norway University of South-Eastern Norway Norwegian Research Center Oslo Norway

EEG data classification plays a pivotal role in understanding brain activity and its applications in various domains. Deep learning has emerged as a powerful paradigm for automatically learning complex patterns from raw data, eliminating the need for manual feature extraction. However, in the context of medical data, and in particular for EEG analysis, the use of deep learning approaching while having been very successful is not being included in medical diagnosis routines, yet. The aim of this survey is twofold. On one side, it provides a comprehensive overview of the current state-of-the-art in EEG data classification, with a specific focus on the use of deep learning techniques. On the other side, it also addresses the clinician community, explaining the power and trustfulness of such new approaches. The survey begins with an introduction highlighting the limitations of traditional model-based approaches and the potential of deep learning in EEG data classification. The fundamental principles and architectures of deep learning models are presented, including convolutional neural networks (CNNs), recurrent neural networks (RNNs) and Graph Convolution Neural Network (GCNNs) that have been successfully applied to EEG data classification tasks. A detailed review and analysis of existing literature on deep learning-based EEG data classification are provided, categorizing the studies based on the type of the input data, e.g., sequences, images, graphs or multi-modalities. We also discuss about the existing tools and technologies for EEG data classification and highlights the challenges and limitations associated with deep learning in EEG data classification, including limited data availability, interpretability of deep models and bias mitigation. Potential solutions and ongoing research efforts to overcome these challenges are explored, providing insights into the future directions of this field. This survey serves as a valuable resource for researchers, practitioners

关键词： EEG Data Classification Deep Learning Healthcare Applications Clinical Diseases

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Cyber Malware 1

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丛书名： Security Informatics and Law Enforcement

1000年

作者： Iman Almomani Leandros A. Maglaras Mohamed Amine Ferrag Nick Ayres

ISBN: (数字)9783031349690

ISBN: (纸本)9783031349683;9783031349713

This book provides the foundational aspects of malware attack vectors and appropriate defense mechanisms against malware. The book equips readers with the necessary knowledge and techniques to successfully lower the risk against emergent malware attacks. Topics cover protections against malware using machine learning algorithms, blockchain and AI technologies, smart AI-based applications, automated detection-based AI tools, forensics tools, and much more. The authors discuss theoretical, technical, and practical issues related to cyber malware attacks and defense, making it ideal reading material for students, researchers, and developers.

关键词： Communications Engineering, Networks Cybercrime Systems and Data Security Security science and technology

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