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Information and Communications Security ; Vol. 4307 ; 8th International Conference, ICICS 2006, Raleigh, NC, USA, December 4-7, 2006, Proceedings
It is our great pleasure to welcome you to the Eighth International Conference on Information and Communications Security (ICICS 2006), held in Raleigh, North Carolina, USA, December 4–7, 2006. The ICICS conference series is an established forum that brings together researchersand scholars involved in m- tiple disciplines of Information and Communications Security in order to foster exchangeof ideas. The past sevenICICS conferences wereheld in Beijing, China (ICICS 1997); Sydney, Australia (ICICS 1999); Xi’an China (ICICS 2001); S- gapore (ICICS 2002); Hohhot City, China (ICICS 2003); Malaga, Spain (ICICS 2004); and Beijing, China (ICICS 2005). The conference proceedings of the past seven events have been published by Springer in the Lecture Notes in Computer Science series, in LNCS1334,LNCS1726,LNCS2229,LNCS 2513,LNCS 2836, LNCS 3269, and LNCS 3783, respectively. This year we received a total of 119 submissions on various aspects of - hoc and sensor network security. The Program Committee selected 22 regular papers and 17 short papers that cover a variety of topics, including security protocols, applied cryptography and cryptanalysis, access control in distributed systems, privacy, malicious code, network and systems security, and security implementations. Putting together ICICS 2006 was a team e?ort. First of all, we would like to thank the authors of every paper, whether accepted or not, for submitting their papers to ICICS 2006. We would like to express our gratitude to the Program Committee members and the external reviewers, who worked very hard in - viewing the papers and providing suggestions for their improvements.
Inference for change point and post change means after a CUSUM test
This monograph is the first to systematically study the bias of estimators and construction of corrected confidence intervals for change-point and post-change parameters after a change is detected by using a CUSUM procedure. Researchers in change-point problems and sequential analysis, time series and dynamic systems, and statistical quality control will find that the methods and techniques are mostly new and can be extended to more general dynamic models where the structural and distributional parameters are monitored. Practitioners, who are interested in applications to quality control, dynamic systems, financial markets, clinical trials and other areas, will benefit from case studies based on data sets from river flow, accident interval, stock prices, and global warming. Readers with an elementary probability and statistics background and some knowledge of CUSUM procedures will be able to understand most results as the material is relatively self-contained.The exponential family distribution is used as the basic model that includes changes in mean, variance, and hazard rate as special cases. There are fundamental differences between the sequential sampling plan and fixed sample size. Although the results are given under the CUSUM procedure, the methods and techniques discussed provide new approaches to deal with inference problems after sequential change-point detection, and they also contribute to the theoretical aspects of sequential analysis. Many results are of independent interests and can be used to study random walk related stochastic models.
Impulse Breakdown of Liquids
The book describes the main physical processes and phenomena in pulsed electric breakdown. The knowledge and the control of the electric breakdown of liquids is important not only for the insulation inside power systems but it is also used for the creation and information of high voltage and high current pulses. Such high-voltage micro- and nanosecond pulses find wide application in experimental physics, electro discharge technology, physics of dielectrics, radar detection and ranging, high-speed photography. The nature of charge carriers, mechanism of formation and evolution of the gas phase, and their role in charge ignition (initiation) and development are considered. In particular, the spatiotemporal laws of propagation and parameters of charge channels are described in detail and the boundery conditions of the breakdown initiation are formulated.
Immunogenicity of Biopharmaceuticals
This book is intended to give a broad overview of the current state-of-the-art regarding the immune response to biopharmaceuticals. The chapters range from an overview of the immune system and factors that may trigger the immune system, via detection of antibodies and clinical implications, to various case examples and the regulatory view on immunogenicity.
Immune receptors : Methods and protocols
Explores immune cell receptors that are used in the detection of microbes, either by binding directly to non-self molecules or through indirectly sensing microbe-associated cellular disturbances. The covers methods for studying receptor-ligand interactions at both molecular and cellular levels; methods to create and characterize novel antibody reagents; and methods to characterize the molecular processes that lead to adaptive receptor maturation. This book also contains chapters that look at high-throughput strategies that describe the diversity of immune receptors and cells. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Immune mediators in cancer : Methods and protocols
Provides a comprehensive collection of classic and cutting-edge methodologies as well as bioinformatics and genome-editing approaches that are used to quantify immune mediators and analyze their function and biological activity in cancer cells and tissues. Beginning with a section on the detection of immune mediators in samples, the volume continues with sections covering cytokine bioassays, the expression and regulation of immune mediators in cancer cells, and methods to navigate the enormous datasets created by modern DNA and RNA sequencing and proteomic technology. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Immobilisation of DNA on Chips II
DNA chips are gaining increasing importance in different fields ranging from medicine to analytical chemistry with applications in the latter in food safety and food quality issues as well as in environmental protection. In the medical field, DNA chips are frequently used in arrays for gene expression studies to identify diseased cells due to over- or under-expression of certain genes, to follow the response of drug treatments, or to grade cancers), for genotyping of individuals, for the detection of single nucleotide polymorphisms, point mutations, and short tandem reports, or moreover for genome and transcriptome analyses in the quasi post-genomic sequencing era. Furthermore, due to some unique properties of DNA molecules, self-assembled layers of DNA are promising candidates in the field of molecular electronics.the main focus of these two volumes is on the immobilization chemistry, considering the various aspects of the immobilization process itself, since different types of nucleic acids, support materials, surface activation chemistries and patterning tools are of key concern.
Imaging of Soft Tissue Tumors
This book provides a comprehensive survey of the growing role of medical imaging studies in the detection, staging, grading, tissue characterization, and post-treatment follow-up of soft tissue tumors. For each tumor group, imaging findings are correlated with clinical, epidemiologic, and histologic data.
Imaging of occupational and environmental disorders of the chest
This book provides an up-to-date and comprehensive approach to modern imaging of environmental and occupational diseases of the chest. The first part of the book addresses the basic knowledge required to understand imaging in this context, while the second focuses on the imaging results achieved in a variety of specific disorders. There is particular emphasis on the role of thin-section computed tomography since this technique facilitates the detection of early subclinical abnormalities.
Imaging for Detection and Identification
The dynamic interaction between world-renowned scientists from the usually disparate communities of pure mathematicians and applied sci- tists which occurred at our seven previous ASI’s continued at this meeting. The fusion of basic ideas in mathematics, radar, sonar, biology, and ch- istry with ongoing improvements in hardware and computation offers the promise of much more sophisticated and accurate detection and identi?cation capabilities than currently exist. Coupled with the dramatic rise in the need for surveillance in innumerable aspects of our daily lives, brought about by hostile acts deemed unimaginable only a few short years ago, the time is ripe for image processing scientists in these usually diverse ?elds to join together in a concerted effort to combat the new brands of terrorism. This ASI was one important initial step.
Image and video processing and recognition based on artificial intelligence (Vol. II)
Focuses on challenging issues in the field of AI-based image and video processing and recognition, including the topics of AI-based image processing, understanding, recognition, compression, and reconstruction; AI-based video processing, understanding, recognition, compression, and reconstruction; computer vision based on AI; AI-based biometrics; AI-based object detection and tracking; approaches that combine AI techniques and conventional methods for image and video processing and recognition; explainable AI (XAI) for image and video processing and recognition; generative adversarial network (GAN)-based image and video processing and recognition; and approaches that combine AI techniques and blockchain methods for image and video processing and recognition.
Image and Signal Processing ; 3rd International Conference, ICISP 2008. Cherbourg-Octeville, France, July 1 - 3, 2008. Proceedings
This book constitutes the refereed proceedings of the Third International Conference on Image and Signal Processing, ICISP 2008, held in Cherbourg-Octeville, France, in July 2008.The 48 revised full papers and 22 revised poster papers presented were carefully reviewed and selected from 193 submissions. The papers are organized in topical sections on image filtering, image segmentation, computer vision, feature extraction, pattern recognition, graph-based representations, motion detection and estimation, new interfaces, document processing, and signal processing.
Image Analysis and Recognition ; 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24–26, 2020, Proceedings, Part II
This two-volume set LNCS 12131 and LNCS 12132 constitutes the refereed proceedings of the 17th International Conference on Image Analysis and Recognition, ICIAR 2020, held in Póvoa de Varzim, Portugal, in June 2020. The 54 full papers presented together with 15 short papers were carefully reviewed and selected from 123 submissions. The papers are organized in the following topical sections: image processing and analysis; video analysis; computer vision; 3D computer vision; machine learning; medical image and analysis; analysis of histopathology images; diagnosis and screening of ophthalmic diseases; and grand challenge on automatic lung cancer patient management.
Image Analysis and Recognition ; 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24–26, 2020, Proceedings, Part I
This two-volume set LNCS 12131 and LNCS 12132 constitutes the refereed proceedings of the 17th International Conference on Image Analysis and Recognition, ICIAR 2020, held in Póvoa de Varzim, Portugal, in June 2020. The 54 full papers presented together with 15 short papers were carefully reviewed and selected from 123 submissions. The papers are organized in the following topical sections: image processing and analysis; video analysis; computer vision; 3D computer vision; machine learning; medical image and analysis; analysis of histopathology images; diagnosis and screening of ophthalmic diseases; and grand challenge on automatic lung cancer patient management.
IFAE 2007 ; Incontri di Fisica delle Alte Energie = Italian Meeting on High Energy Physics Napoli, 11–13 April 2007
This book collects the Proceedings of the Workshop "Incontri di Fisica delle Alte Energie (IFAE) 2007, Napoli, 11-13 April 2007". This is the sixth edition of a series of meetings on fundamental research in particle physics and was attended by about 160 researchers. Presentations, both theoretical and experimental, addressed the status of Physics of the Standard Model and beyond, Flavour phyisc, Neutrino and Astroparticle physics, new technology in high energy physics. Special emphasis was given to the expectations of the forthcoming Large Hadron Collider, due in operation at the end of 2007.
Hyperspectral Data Compression
HYPERSPECTRAL DATA COMPRESSION presents the most recent results in the field of compression of remote sensing 3D data, with a focus on multispectral and hyperspectral imagery. This book is essential for researchers working across related fields including: multi-dimensional data compression, multispectral and hyperspectral data archives, remote sensing, scientific image processing, military and aerospace image processing, image segmentation, image classification, and target detection.
Hydra = هايدرا
Forgery involves the use of advanced algorithms to replicate and distribute deceptive products across various categories, casting shadows of doubt on the authenticity of goods. Although counterfeit detection can be useful in identifying and mitigating fraudulent activities, the widespread presence of counterfeit goods poses significant dangers, undermining consumer confidence and brand reputation. To underscore the severity of this issue, consider instances such as fake luxury items flooding the market, counterfeit electronics compromising safety, or bogus pharmaceuticals endangering health. Addressing this issue is critical in maintaining the integrity of brands, safeguarding consumer well-being, and preserving trust in the marketplace. The ability to distinguish between authentic and counterfeit products is paramount in ensuring accurate decision-making and preventing the harmful consequences of fraudulent goods. This technological context underscores the urgency of developing and deploying cutting-edge solutions to combat the evolving landscape of product forgery. Hydra emerges as a robust solution, utilizing a comprehensive approach that includes extracting posts and images from search engine tools, and is integrated with AI models to detect forgery. The Hydra platform not only provides users with a powerful tool for detecting counterfeit products but also offers tangible benefits such as enhanced brand security, increased awareness about the prevalence of forgeries, and the opportunity to actively participate in a real-time community.
Human–computer interaction ; International Workshop, HCI 2007 Rio de Janeiro, Brazil, October 20, 2007 Proceedings
Constitutes the refereed proceedings of the International Workshop on Human Computer Interaction, HCI 2007, held in Rio de Janeiro, Brazil, October 20, 2007. This book covers such topics as: Affective detection and recognition, Smart interfaces, Human motion tracking, Gesture recognition, and Multimedia data modeling and visualization.
Human Ear Recognition by Computer
Human Ear Recognition by Computer is the first book on the automatic recognition of human ears. It presents an entire range of computational algorithms for recognition of humans by their ears. These algorithms have been tested and validated on the largest databases that are available today,This state-of-the-art research reference explores all aspects of 3D ear recognition, including representation, detection, recognition, indexing and performance prediction. It has been written for a professional audience of both researchers and practitioners within industry, and is also ideal as an informative text for graduate students in computer science and engineering.
High accuracy detection of mobile malware using machine learning
As increasingly sophisticated and evasive malware attacks continue to emerge, more effective detection solutions to tackle the problem are being sought through the application of advanced machine learning techniques. This reprint presents several advances in the field including: a new method of generating adversarial samples through byte sequence feature extraction using deep learning; a state-of-the-art comparative evaluation of deep learning approaches for mobile botnet detection; a novel visualization-based approach that utilizes images for Android botnet detection; a study on the detection of drive-by exploits in images using deep learning; etc. Furthermore, this reprint presents state-of-the-art reviews about machine learning-based detection techniques that will increase researchers' knowledge in the field and enable them to identify future research and development directions.
