LEADER 06895nam 2200649 450 001 9910466127703321 005 20211115232453.0 010 $a1-78439-202-2 035 $a(CKB)3710000000635326 035 $a(EBL)4520648 035 $a(MiAaPQ)EBC4520648 035 $a(CaSebORM)9781784395810 035 $a(PPN)192902229 035 $a(Au-PeEL)EBL4520648 035 $a(CaPaEBR)ebr11221711 035 $a(CaONFJC)MIL908928 035 $a(OCoLC)951665756 035 $a(EXLCZ)993710000000635326 100 $a20160701h20162016 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aAdvanced penetration testing for highly-secured environments 205 $aSecond edition /$bemploy the most advanced pentesting techniques and tools to build highly-secured systems and environments / Lee Allen, Kevin Cardwell. 210 1$aBirmingham :$cPackt Publishing,$d[2016] 210 4$dİ2016 215 $a1 online resource (428 p.) 225 1 $aCommunity experience distilled 300 $aIncludes index. 311 $a1-78439-581-1 327 $aCover; Copyright; Credits; About the Authors; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Penetration Testing Essentials; Chapter 2: Preparing a Test Environment; Chapter 3: Assessment Planning; Chapter 4: Intelligence Gathering; Chapter 5: Network Service Attacks; Chapter 6: Exploitation; Chapter 7: Web Application Attacks; Chapter 8: Exploitation Concepts; Chapter 9: Post-Exploitation; Chapter 10: Stealth Techniques; Chapter 11: Data Gathering and Reporting; Chapter 12: Penetration Testing Challenge; Index; Methodology defined; Example methodologies 327 $aAbstract methodologySummary; Introducing VMware Workstation; Installing VMware Workstation; Network design; Understanding the default architecture; Creating the switches; Putting it all together; Summary; Introducing advanced penetration testing; Before testing begins; Planning for action; Installing LibreOffice; Effectively managing your test results; Introduction to the Dradis framework; Summary; Introducing reconnaissance; DNS recon; Gathering and validating domain and IP information; Using search engines to do your job for you; Creating network baselines with scanPBNJ; Summary 327 $aWeb Application Attack and Audit framework (w3af)Introduction to browser plugin HackBar; Reader challenge; Summary; Buffer overflows - a refresher; 64-bit exploitation; Introducing vulnserver; Fuzzing tools included in Kali; Social Engineering Toolkit; Fast-Track; Reader challenge; Summary; Rules of Engagement; Data gathering, network analysis, and pillaging; Pivoting; Reader challenge; Summary; Lab preparation; Stealth scanning through the firewall; Now you see me, now you don't - avoiding IDS; Blending in; PfSense SSH logs; Looking at traffic patterns; Cleaning up compromised hosts 327 $aMiscellaneous evasion techniquesReader challenge; Summary; Record now - sort later; Old school - the text editor method; Dradis framework for collaboration; The report; Reader challenge; Summary; Firewall lab setup; The scenario; The virtual lab setup; The challenge; The walkthrough; Reporting; Summary; Penetration testing framework; Penetration Testing Execution Standard; Pre-engagement interactions; Intelligence gathering; Threat modeling; Vulnerability analysis; Exploitation; Post exploitation; Reporting; Final thoughts; Why VMware Workstation?; VMnet0; VMnet1; VMnet8; Folders 327 $aInstalling Kali Linux 330 $aEmploy the most advanced pentesting techniques and tools to build highly-secured systems and environments About This Book Learn how to build your own pentesting lab environment to practice advanced techniques Customize your own scripts, and learn methods to exploit 32-bit and 64-bit programs Explore a vast variety of stealth techniques to bypass a number of protections when penetration testing Who This Book Is For This book is for anyone who wants to improve their skills in penetration testing. As it follows a step-by-step approach, anyone from a novice to an experienced security tester can learn effective techniques to deal with highly secured environments. Whether you are brand new or a seasoned expert, this book will provide you with the skills you need to successfully create, customize, and plan an advanced penetration test. What You Will Learn A step-by-step methodology to identify and penetrate secured environments Get to know the process to test network services across enterprise architecture when defences are in place Grasp different web application testing methods and how to identify web application protections that are deployed Understand a variety of concepts to exploit software Gain proven post-exploitation techniques to exfiltrate data from the target Get to grips with various stealth techniques to remain undetected and defeat the latest defences Be the first to find out the latest methods to bypass firewalls Follow proven approaches to record and save the data from tests for analysis In Detail The defences continue to improve and become more and more common, but this book will provide you with a number or proven techniques to defeat the latest defences on the networks. The methods and techniques contained will provide you with a powerful arsenal of best practices to increase your penetration testing successes. The processes and methodology will provide you techniques that will enable you to be successful, and the step by step instructions of information gathering and intelligence will allow you to gather the required information on the targets you are testing. The exploitation and post-exploitation sections will supply you with the tools you would need to go as far as the scope of work will allow you. The challenges at the end of each chapter are designed to challenge you and provide real-world situations that will hone and perfect your penetration testing skills. You will start with a review of several well respected penetration... 410 0$aCommunity experience distilled. 606 $aPenetration testing (Computer security) 606 $aComputer networks$xSecurity measures 606 $aComputer security$xManagement 606 $aComputer networks 608 $aElectronic books. 615 0$aPenetration testing (Computer security) 615 0$aComputer networks$xSecurity measures. 615 0$aComputer security$xManagement. 615 0$aComputer networks. 700 $aAllen$b Lee$c(Information security specialist),$0944552 702 $aCardwell$b Kevin 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910466127703321 996 $aAdvanced penetration testing for highly-secured environments$92192264 997 $aUNINA LEADER 08621nam 2200685 450 001 9910830665403321 005 20240219143527.0 010 $a1-283-80405-0 010 $a1-118-39350-3 024 7 $a10.1002/9781118393550 035 $a(CKB)2670000000278681 035 $a(EBL)875896 035 $a(SSID)ssj0000779981 035 $a(PQKBManifestationID)11394223 035 $a(PQKBTitleCode)TC0000779981 035 $a(PQKBWorkID)10785586 035 $a(PQKB)10397254 035 $a(MiAaPQ)EBC875896 035 $a(CaBNVSL)mat06266785 035 $a(IDAMS)0b000064818b36cf 035 $a(IEEE)6266785 035 $a(OCoLC)816310153 035 $a(PPN)255937741 035 $a(EXLCZ)992670000000278681 100 $a20151221d2012 uy 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 13$aAn introduction to audio content analysis $eapplications in signal processing and music informatics /$fAlexander Lerch 210 1$aHoboken, New Jersey :$cWiley,$dc2012. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2012] 215 $a1 online resource (272 p.) 300 $aDescription based upon print version of record. 311 $a1-118-39355-4 311 $a1-118-26682-X 320 $aIncludes bibliographical references and index. 327 $aMachine generated contents note: 1.1.Audio Content -- 1.2.A Generalized Audio Content Analysis System -- 2.1.Audio Signals -- 2.1.1.Periodic Signals -- 2.1.2.Random Signals -- 2.1.3.Sampling and Quantization -- 2.1.4.Statistical Signal Description -- 2.2.Signal Processing -- 2.2.1.Convolution -- 2.2.2.Block-Based Processing -- 2.2.3.Fourier Transform -- 2.2.4.Constant Q Transform -- 2.2.5.Auditory Filterbanks -- 2.2.6.Correlation Function -- 2.2.7.Linear Prediction -- 3.1.Audio Pre-Processing -- 3.1.1.Down-Mixing -- 3.1.2.DC Removal -- 3.1.3.Normalization -- 3.1.4.Down-Sampling -- 3.1.5.Other Pre-Processing Options -- 3.2.Statistical Properties -- 3.2.1.Arithmetic Mean -- 3.2.2.Geometric Mean -- 3.2.3.Harmonic Mean -- 3.2.4.Generalized Mean -- 3.2.5.Centroid -- 3.2.6.Variance and Standard Deviation -- 3.2.7.Skewness -- 3.2.8.Kurtosis -- 3.2.9.Generalized Central Moments -- 3.2.10.Quantiles and Quantile Ranges -- 3.3.Spectral Shape -- 3.3.1.Spectral Rolloff -- 327 $aContents note continued: 3.3.2.Spectral Flux -- 3.3.3.Spectral Centroid -- 3.3.4.Spectral Spread -- 3.3.5.Spectral Decrease -- 3.3.6.Spectral Slope -- 3.3.7.Mel Frequency Cepstral Coefficients -- 3.4.Signal Properties -- 3.4.1.Tonalness -- 3.4.2.Autocorrelation Coefficients -- 3.4.3.Zero Crossing Rate -- 3.5.Feature Post-Processing -- 3.5.1.Derived Features -- 3.5.2.Normalization and Mapping -- 3.5.3.Subfeatures -- 3.5.4.Feature Dimensionality Reduction -- 4.1.Human Perception of Intensity and Loudness -- 4.2.Representation of Dynamics in Music -- 4.3.Features -- 4.3.1.Root Mean Square -- 4.4.Peak Envelope -- 4.5.Psycho-Acoustic Loudness Features -- 4.5.1.EBU R128 -- 5.1.Human Perception of Pitch -- 5.1.1.Pitch Scales -- 5.1.2.Chroma Perception -- 5.2.Representation of Pitch in Music -- 5.2.1.Pitch Classes and Names -- 5.2.2.Intervals -- 5.2.3.Root Note, Mode, and Key -- 5.2.4.Chords and Harmony -- 5.2.5.The Frequency of Musical Pitch -- 5.3.Fundamental Frequency Detection -- 327 $aContents note continued: 5.3.1.Detection Accuracy -- 5.3.2.Pre-Processing -- 5.3.3.Monophonic Input Signals -- 5.3.4.Polyphonic Input Signals -- 5.4.Tuning Frequency Estimation -- 5.5.Key Detection -- 5.5.1.Pitch Chroma -- 5.5.2.Key Recognition -- 5.6.Chord Recognition -- 6.1.Human Perception of Temporal Events -- 6.1.1.Onsets -- 6.1.2.Tempo and Meter -- 6.1.3.Rhythm -- 6.1.4.Timing -- 6.2.Representation of Temporal Events in Music -- 6.2.1.Tempo and Time Signature -- 6.2.2.Note Value -- 6.3.Onset Detection -- 6.3.1.Novelty Function -- 6.3.2.Peak Picking -- 6.3.3.Evaluation -- 6.4.Beat Histogram -- 6.4.1.Beat Histogram Features -- 6.5.Detection of Tempo and Beat Phase -- 6.6.Detection of Meter and Downbeat -- 7.1.Dynamic Time Warping -- 7.1.1.Example -- 7.1.2.Common Variants -- 7.1.3.Optimizations -- 7.2.Audio-to-Audio Alignment -- 7.2.1.Ground Truth Data for Evaluation -- 7.3.Audio-to-Score Alignment -- 7.3.1.Real-Time Systems M -- 7.3.2.Non-Real-Time Systems -- 327 $aContents note continued: 8.1.Musical Genre Classification -- 8.1.1.Musical Genre -- 8.1.2.Feature Extraction -- 8.1.3.Classification -- 8.2.Related Research Fields -- 8.2.1.Music Similarity Detection -- 8.2.2.Mood Classification -- 8.2.3.Instrument Recognition -- 9.1.Fingerprint Extraction -- 9.2.Fingerprint Matching -- 9.3.Fingerprinting System: Example -- 10.1.Musical Communication -- 10.1.1.Score -- 10.1.2.Music Performance -- 10.1.3.Production -- 10.1.4.Recipient -- 10.2.Music Performance Analysis -- 10.2.1.Analysis Data -- 10.2.2.Research Results -- A.1.Identity -- A.2.Commutativity -- A.3.Associativity -- A.4.Distributivity -- A.5.Circularity -- B.1.Properties of the Fourier Transformation -- B.1.1.Inverse Fourier Transform -- B.1.2.Superposition -- B.1.3.Convolution and Multiplication -- B.1.4.Parseval's Theorem -- B.1.5.Time and Frequency Shift -- B.1.6.Symmetry -- B.1.7.Time and Frequency Scaling -- B.1.8.Derivatives -- B.2.Spectrum of Example Time Domain Signals -- 327 $aContents note continued: B.2.1.Delta Function -- B.2.2.Constant -- B.2.3.Cosine -- B.2.4.Rectangular Window -- B.2.5.Delta Pulse -- B.3.Transformation of Sampled Time Signals -- B.4.Short Time Fourier Transform of Continuous Signals -- B.4.1.Window Functions -- B.5.Discrete Fourier Transform -- B.5.1.Window Functions -- B.5.2.Fast Fourier Transform -- C.1.Computation of the Transformation Matrix -- C.2.Interpretation of the Transformation Matrix -- D.1.Software Frameworks and Applications -- D.1.1.Marsyas -- D.1.2.CLAM -- D.1.3.jMIR -- D.1.4.CoMIRVA -- D.1.5.Sonic Visualiser -- D.2.Software Libraries and Toolboxes -- D.2.1.Feature Extraction -- D.2.2.Plugin Interfaces -- D.2.3.Other Software. 330 $aAn easily accessible, hands-on approach to digital audio signal processingWith the proliferation of digital audio distribution over digital media, the amount of easily accessible music is ever-growing, requiring new tools for navigating, accessing, and retrieving music in meaningful ways. An understanding of audio content analysis is essential for the design of intelligent music information retrieval applications and content-adaptive audio processing systems.This book is about how to teach a computer to interpret music signals, thus allowing the design of tools for interacting with music. This book serves as a comprehensive guide on audio content analysis and how to apply it in signal processing and music informatics. Written by a well-known expert in the music industry, An Introduction to Audio Content Analysis ties together topics from audio signal processing and machine learning, showing how to use audio content analysis to pick up musical characteristics automatically. The author clearly explains the analysis of audio signals and the extraction of metadata describing the content of the signal, covering both abstract descriptions of technical properties and musical descriptions such as tempo, harmony and key, musical style, and performance attributes. Musical information is given a separate analysis in each category, whether tonal, pitch, harmony, key, temporal, or tempo, among others.Readers will get access to various analysis algorithms and learn to compare different standard approaches to the same task. The book includes a review of the fundamentals of audio signal processing, psychoacoustics, and music theory.An invaluable guide for newcomers to audio signal processing and industry experts alike, An Introduction to Audio Content Analysis also features downloadable MATLAB files from a companion website, www.AudioContentAnalysis.org, lists of abbreviations and symbols, and references. 606 $aComputer sound processing 606 $aComputational auditory scene analysis 606 $aContent analysis (Communication)$xData processing 615 0$aComputer sound processing. 615 0$aComputational auditory scene analysis. 615 0$aContent analysis (Communication)$xData processing. 676 $a006.45 676 $a621.3822 700 $aLerch$b Alexander$01639454 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910830665403321 996 $aAn introduction to audio content analysis$93982450 997 $aUNINA