LEADER 06664nam 2200721 450 001 9910817908603321 005 20230315230538.0 010 $a0-12-802917-X 035 $a(CKB)3710000000527189 035 $a(EBL)4186519 035 $a(Au-PeEL)EBL4186519 035 $a(CaPaEBR)ebr11134709 035 $a(CaONFJC)MIL877811 035 $a(OCoLC)932340309 035 $a(MiAaPQ)EBC4186519 035 $a(PPN)193662868 035 $a(EXLCZ)993710000000527189 100 $a20160102h20162016 uy| 0 101 0 $aeng 135 $aur|n#|||||||| 181 $2rdacontent 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aAutomating open source intelligence $ealgorithms for OSINT /$fedited by Robert Layton, Paul A. Watters 210 1$aAmsterdam :$cElsevier,$d[2016] 210 4$dİ2016 215 $a1 online resource (212 pages) $cillustrations, charts 225 0 $aSyngress advanced topics in information security 300 $aDescription based upon print version of record. 311 $a0-12-802916-1 320 $aIncludes bibliographical references and index. 327 $aChapter 1 - The Automating of Open Source Intelligence; The Commercial Angle; Algorithms; References; Chapter 2 - Named Entity Resolution in Social Media; Introduction; Evaluating Semantic Processing Performance; Characterizing Semantic Processing Errors; Meaning Loss in Biblical Proverbs: A Case Study; Models for Improving Semantic Processing Performance; Discussion; References; Chapter 3 - Relative Cyberattack Attribution; Introduction; Basic Attack Structure; Anonymization on the Internet; Weaknesses in Anonymization 327 $aAttribution as a ConceptAbsolute Attribution; Relative Attribution; Relative attribution concepts; Inherent versus Learnt Behaviors; Hiding Behavior; Consistency of Behavior; Relative Attribution Techniques; Authorship Analysis; Limitations and Issues; Research Streams; Conclusions; References; Chapter 4 - Enhancing Privacy to Defeat Open Source Intelligence; Introduction; Scenario; Requirements and Threats; Preliminaries; The PIEMCP; Formal Security Analysis with CPN; Attack Scenarios; Verification Results; Removing Trusted ARM; Performance Analysis of FSSO-PIEMC 327 $aComparison to Existing ApproachConclusion and future work; References; Chapter 5 - Preventing Data Exfiltration: Corporate Patterns and Practices; What is Happening Around the World?; What is Happening in New Zealand?; Specifying the Problem; Problems Arising by Implementing Censorship; So, what should be done?; Summary; References; Chapter 6 - Gathering Intelligence on High-Risk Advertising and Film Piracy: A Study of the Digital Underground; Introduction; Advertising and risk; The digital millennium copyright act (DMCA); Chilling Effects Database; Google Transparency Report 327 $aMainstream advertising and how piracy is fundedHigh-Risk Advertising and their links to piracy websites; High-Risk Advertising: Case Studies in Canada; High-risk advertising: case studies in Australia; High-Risk Advertising: Case studies in New Zealand; Research Challenges; References; Chapter 7 - Graph Creation and Analysis for Linking Actors: Application to Social Data; Introduction; The Social Network Model; A Brief History of Graphs and Social Networks; Conceptual Framework; Graph Creation Techniques; Data Gathering; Defining and Computing Relationships; Disambiguation Techniques 327 $aGraph Analysis for OSINTStructural Observations; Density of a Graph; Neighborhood, Degree, Average Degree, and Degree Distribution; Paths and Average Path Length; Components; Characterizing Position of Nodes; Betweenness Centrality; Closeness Centrality; Structures and Communities of Nodes; Structural Patterns: Cliques and Cores; Communities; Modularity; Twitter Case Study; The Twitter Dataset; General Graph Metrics; Node Metrics and Profiles' Centrality; Communities; Conclusion; References; Chapter 8 - Ethical Considerations When Using Online Datasets for Research Purposes; Introduction 327 $aExisting Guidelines 330 $aAlgorithms for Automating Open Source Intelligence (OSINT) presents information on the gathering of information and extraction of actionable intelligence from openly available sources, including news broadcasts, public repositories, and more recently, social media. As OSINT has applications in crime fighting, state-based intelligence, and social research, this book provides recent advances in text mining, web crawling, and other algorithms that have led to advances in methods that can largely automate this process. The book is beneficial to both practitioners and academic researchers, with discussions of the latest advances in applications, a coherent set of methods and processes for automating OSINT, and interdisciplinary perspectives on the key problems identified within each discipline. Drawing upon years of practical experience and using numerous examples, editors Robert Layton, Paul Watters, and a distinguished list of contributors discuss Evidence Accumulation Strategies for OSINT, Named Entity Resolution in Social Media, Analyzing Social Media Campaigns for Group Size Estimation, Surveys and qualitative techniques in OSINT, and Geospatial reasoning of open data. Presents a coherent set of methods and processes for automating OSINTFocuses on algorithms and applications allowing the practitioner to get up and running quicklyIncludes fully developed case studies on the digital underground and predicting crime through OSINTDiscusses the ethical considerations when using publicly available online data 410 0$aSyngress advanced topics in information security 606 $aOpen source intelligence 606 $aInformation technology$xSocial aspects 606 $aBusiness intelligence$xComputer network resources 606 $aIntelligence service$xComputer network resources 606 $aData mining 606 $aInternet searching 606 $aComputational intelligence 615 0$aOpen source intelligence. 615 0$aInformation technology$xSocial aspects. 615 0$aBusiness intelligence$xComputer network resources. 615 0$aIntelligence service$xComputer network resources. 615 0$aData mining. 615 0$aInternet searching. 615 0$aComputational intelligence. 702 $aLayton$b Robert$f1986- 702 $aWatters$b Paul A. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910817908603321 996 $aAutomating open source intelligence$93915743 997 $aUNINA