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Information Technology Security and Risk Management : Inductive Cases for Information Security
Information Technology Security and Risk Management: Inductive Cases for Information Security is a compilation of cases that examine recent developments and issues that are relevant to IT security managers, risk assessment and management, and the broader topic of IT security in the 21st century.As the title indicates, the cases are written and analyzed inductively, which is to say that the authors allowed the cases to speak for themselves, and lead where they would, rather than approach the cases with presuppositions or assumptions regarding what the case should be "about".In other words, the authors were given broad discretion to interpret a case in the most interesting and relevant manner possible; any given case may be "about" many things, depending on the perspective adopted by the reader, and many different lessons may be learned.The inductive approach of these cases reflects the design philosophy of the advanced IT Security and Risk Management course we teach on the topic here at the University of Canterbury, where all discussions begin with the analysis of a specific case of interest and follow the most interesting and salient aspects of the case in evidence.In our course, the presentation, analysis, and discussion of a case are followed by a brief lecture to address the conceptual, theoretical, and scholarly dimensions arising from the case.The inductive approach to teaching and learning also comes with a huge advantage – the students seem to love it, and often express their appreciation for a fresh and engaging approach to learning the sometimes-highly-technical content of an IT security course.As instructors, we are also grateful for the break in the typical scripted "chalk-and-talk" of a university lecture afforded by the spontaneity of the inductive approach. We were motivated to prepare this text because there seems to be no other book of cases dedicated to the topic of IT security and risk management, and because of our own success and satisfaction with inductive teaching and learning.We believe this book would be useful either for an inductive, case-based course like our own or as a body of cases to be discussed in a more traditional course with a deductive approach.There are abstracts and keywords for each case, which would help instructors select cases for discussions on specific topics, and PowerPoint slides are available as a guide for discussion about a given case.
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Sensor Signal and Information Processing II
In the current age of information explosion, newly invented technological sensors and software are now tightly integrated with our everyday lives. Many sensor processing algorithms have incorporated some forms of computational intelligence as part of their core framework in problem solving. These algorithms have the capacity to generalize and discover knowledge for themselves and learn new information whenever unseen data are captured. The primary aim of sensor processing is to develop techniques to interpret, understand, and act on information contained in the data. The interest of this book is in developing intelligent signal processing in order to pave the way for smart sensors. This involves mathematical advancement of nonlinear signal processing theory and its applications that extend far beyond traditional techniques. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent signal processing applications. The topic ranges from phishing detection to integration of terrestrial laser scanning, and from fault diagnosis to bio-inspiring filtering. The book will appeal to established practitioners, along with researchers and students in the emerging field of smart sensors processing.
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Speech Signal Enhancement by Information Combining
Mobile phones as well as tablets are omnipresent and belong to everyday life.Today audiovisual communication takes place at different locations and in a large variety of acoustic environments.In consequence, the intelligibility as well as the quality of speech may significantly be degraded by ambient background noise.In order to improve speech intelligibility and to ensure a convenient communication with high audio quality, speech enhancement techniques are required.In this thesis all critical components contributing to the enhancement of the up-link signal are addressed:• signal capturing at the acoustic front-end with a new near field beamformer• new codebook based speech and noise estimation procedure generating and exploiting reliability information, and• actual noise reduction exploiting spectral dependencies of human speech. For the acoustic front-end of the digital processing chain a novel concept for the filter optimization of a near field beamformer is introduced.The optimization scheme allows to closely approximate a predefined reception characteristic which can be freely chosen according to the application.The output of the beamformer provides a pre-enhanced signal with improved SNR for subsequent single-microphone based speech enhancement. Single-microphone noise reduction usually relies on statistical properties of speech and noise.In general, the noise is assumed to be stationary or only slightly time-varying, which is in practice often not fulfilled.Due to imprecise noise estimation, single-microphone systems are prone to unpleasant artifacts that are called musical tones.In this context different Information Combining methods, merging various estimates, are presented which address specifically the problem of non-stationary noise signals, leading to a significant improved estimation accuracy.On the one hand, the proposed Information Combining is used with respect to spectral dependencies of human speech.On the other hand, it merges the best of several speech and noise estimates depending on their reliability.The necessary estimates are provided by a new statistical noise estimator as well as a codebook driven speech and noise estimation algorithm.The achieved estimation quality opens up the possibility to close the gap between the conflicting goals of high noise attenuation, low speech distortion, and the prevention of undesired musical tone artifacts.Finally, the practical aspects of the proposed enhancement systems are considered and discussed with two implemented real-time demonstrators.
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Modern Cryptography : Applied Mathematics for Encryption and Information Security
This expanded textbook, now in its second edition, is a practical yet in depth guide to cryptography and its principles and practices.Now featuring a new section on quantum resistant cryptography in addition to expanded and revised content throughout, the book continues to place cryptography in real-world security situations using the hands-on information contained throughout the chapters.Prolific author Dr. Chuck Easttom lays out essential math skills and fully explains how to implement cryptographic algorithms in today's data protection landscape.Readers learn and test out how to use ciphers and hashes, generate random keys, handle VPN and Wi-Fi security, and encrypt VoIP, Email, and Web communications.The book also covers cryptanalysis, steganography, and cryptographic backdoors and includes a description of quantum computing and its impact on cryptography.This book is meant for those without a strong mathematics background with only just enough math to understand the algorithms given.The book contains a slide presentation, questions and answers, and exercises throughout. Presents new and updated coverage of cryptography including new content on quantum resistant cryptography;Covers the basic math needed for cryptography - number theory, discrete math, and algebra (abstract and linear);Includes a full suite of classroom materials including exercises, Q&A, and examples.
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What is a digital signal in signal processing?
A digital signal in signal processing is a discrete-time signal that is represented using a sequence of numbers. These numbers are typically binary and are used to represent the amplitude of the signal at specific time intervals. Digital signals are used in various applications such as telecommunications, audio processing, and image processing. They offer advantages such as easier storage, transmission, and manipulation compared to analog signals.
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What is the difference between an analog signal and a digital signal?
An analog signal is a continuous wave that varies in amplitude and frequency, while a digital signal is a discrete signal that represents data as a sequence of discrete values. Analog signals are susceptible to noise and distortion, whereas digital signals are more resistant to interference and can be easily processed and transmitted without loss of quality. Analog signals are used in older technologies like vinyl records and analog phones, while digital signals are used in modern technologies like CDs, smartphones, and computers.
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Can my television receive a digital signal?
To determine if your television can receive a digital signal, you need to check if it has a built-in digital tuner. Most modern TVs come equipped with digital tuners, but older models may require a separate digital converter box. You can also look for labels such as ATSC, DTV, or HDTV on your TV, which indicate its compatibility with digital signals. If your TV does not have a digital tuner, you may need to purchase a digital converter box to receive digital broadcasts.
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Can a digital signal be an alternating current?
No, a digital signal cannot be an alternating current (AC). A digital signal is a discrete, binary representation of data, typically represented by two voltage levels (0 and 1). On the other hand, alternating current is a type of electrical current where the flow of electric charge periodically reverses direction. While digital signals can be transmitted over an AC electrical system, the digital signal itself is not an AC current.
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1PCS Signal Enhancement Stickers Portable Signal Booster SP11 Pro Mobile Phone Signal Amplifier
1PCS Signal Enhancement Stickers Portable Signal Booster SP11 Pro Mobile Phone Signal Amplifier
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Understanding Digital Signal Processing
Amazon.com’s Top-Selling DSP Book for Seven Straight Years—Now Fully Updated! Understanding Digital Signal Processing, Third Edition, is quite simply the best resource for engineers and other technical professionals who want to master and apply today’s latest DSP techniques.Richard G. Lyons has updated and expanded his best-selling second edition to reflect the newest technologies, building on the exceptionally readable coverage that made it the favorite of DSP professionals worldwide.He has also added hands-on problems to every chapter, giving students even more of the practical experience they need to succeed. Comprehensive in scope and clear in approach, this book achieves the perfect balance between theory and practice, keeps math at a tolerable level, and makes DSP exceptionally accessible to beginners without ever oversimplifying it.Readers can thoroughly grasp the basics and quickly move on to more sophisticated techniques. This edition adds extensive new coverage of FIR and IIR filter analysis techniques, digital differentiators, integrators, and matched filters.Lyons has significantly updated and expanded his discussions of multirate processing techniques, which are crucial to modern wireless and satellite communications.He also presents nearly twice as many DSP Tricks as in the second edition—including techniques even seasoned DSP professionals may have overlooked. Coverage includes New homework problems that deepen your understanding and help you apply what you’ve learnedPractical, day-to-day DSP implementations and problem-solving throughoutUseful new guidance on generalized digital networks, including discrete differentiators, integrators, and matched filtersClear descriptions of statistical measures of signals, variance reduction by averaging, and real-world signal-to-noise ratio (SNR) computationA significantly expanded chapter on sample rate conversion (multirate systems) and associated filtering techniquesNew guidance on implementing fast convolution, IIR filter scaling, and moreEnhanced coverage of analyzing digital filter behavior and performance for diverse communications and biomedical applicationsDiscrete sequences/systems, periodic sampling, DFT, FFT, finite/infinite impulse response filters, quadrature (I/Q) processing, discrete Hilbert transforms, binary number formats, and much more
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Digital Audio Signal Processing
Digital Audio Signal Processing The fully revised new edition of the popular textbook, featuring additional MATLAB exercises and new algorithms for processing digital audio signals Digital Audio Signal Processing (DASP) techniques are used in a variety of applications, ranging from audio streaming and computer-generated music to real-time signal processing and virtual sound processing. Digital Audio Signal Processing provides clear and accessible coverage of the fundamental principles and practical applications of digital audio processing and coding.Throughout the book, the authors explain a wide range of basic audio processing techniques and highlight new directions for automatic tuning of different algorithms and discuss state- of-the-art DASP approaches.Now in its third edition, this popular guide is fully updated with the latest signal processing algorithms for audio processing.Entirely new chapters cover nonlinear processing, Machine Learning (ML) for audio applications, distortion, soft/hard clipping, overdrive, equalizers and delay effects, sampling and reconstruction, and more. Covers the fundamentals of quantization, filters, dynamic range control, room simulation, sampling rate conversion, and audio codingDescribes DASP techniques, their theoretical foundations, and their practical applicationsDiscusses modern studio technology, digital transmission systems, storage media, and home entertainment audio componentsFeatures a new introductory chapter and extensively revised content throughoutProvides updated application examples and computer-based activities supported with MATLAB exercises and interactive JavaScript applets via an author-hosted companion website Balancing essential concepts and technological topics, Digital Audio Signal Processing, Third Edition remains the ideal textbook for advanced music technology and engineering students in audio signal processing courses.It is also an invaluable reference for audio engineers, hardware and software developers, and researchers in both academia and industry.
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Management and Information Technology after Digital Transformation
With the widespread transformation of information into digital form throughout society – firms and organisations are embracing this development to adopt multiple types of IT to increase internal efficiency and to achieve external visibility and effectiveness – we have now reached a position where there is data in abundance and the challenge is to manage and make use of it fully.This book addresses this new managerial situation, the post-digitalisation era, and offers novel perspectives on managing the digital landscape. The topics span how the post-digitalisation era has the potential to renew organisations, markets and society.The chapters of the book are structured in three topical sections but can also be read individually.The chapters are structured to offer insights into the developments that take place at the intersection of the management, information systems and computer science disciplines.It features more than 70 researchers and managers as collaborating authors in 23 thought-provoking chapters. Written for scholars, researchers, students and managers from the management, information systems and computer science disciplines, the book presents a comprehensive and thought-provoking contribution on the challenges of managing organisations and engaging in global markets when tools, systems and data are abundant.
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How can I convert a digital audio signal to an analog signal on an MSI motherboard?
To convert a digital audio signal to an analog signal on an MSI motherboard, you can use the onboard audio connectors. Most MSI motherboards come with built-in audio chips that support analog audio output. You can connect your speakers or headphones to the audio output port on the motherboard to convert the digital audio signal to an analog signal. Additionally, you can also use a digital-to-analog converter (DAC) if you require higher quality audio output.
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Why is my digital receiver not receiving a signal?
Your digital receiver may not be receiving a signal due to a few possible reasons. It could be a problem with the antenna or cable connection, so check to make sure they are properly connected and in good condition. It's also possible that there is an issue with the signal strength in your area, so try repositioning the antenna to see if that improves the reception. Additionally, there may be interference from other electronic devices or obstacles blocking the signal, so try moving the receiver to a different location. If none of these solutions work, it may be a problem with the receiver itself, in which case you may need to contact the manufacturer for further assistance.
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How does a mobile phone signal jammer work?
A mobile phone signal jammer works by emitting radio waves on the same frequency as mobile phones, disrupting the communication between the phone and the cell tower. This interference prevents the mobile phone from receiving or transmitting signals, effectively blocking all incoming and outgoing calls, texts, and data. The jammer can be used to create a "quiet zone" in a specific area, such as a classroom, theater, or government facility, where phone use is prohibited. However, it's important to note that the use of signal jammers is illegal in many countries due to potential interference with emergency communication and public safety.
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How can you boost the mobile hotspot signal?
To boost the mobile hotspot signal, you can try the following steps: 1. Position your device closer to the hotspot source to improve signal strength. 2. Make sure there are minimal obstructions between the hotspot device and your connected device. 3. Consider using a signal booster or a Wi-Fi extender to enhance the signal strength. 4. Update the firmware of your hotspot device to ensure it is running on the latest software for optimal performance.
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