05554cam a2200589Ii 4500001001300000003000600013005001700019006001900036007001500055008004100070040022400111019006900335020003600404020003300440020001500473020001800488020001800506024001800524035012900542050001500671072002500686082001400711245015000725264006400875264001200939300002200951336002600973337002600999338003601025500002001061588008501081505058901166505058301755505055302338505059702891505060303488520026904091504005104360650002304411650001404434650004604448650004004494650004904534655002204583700002504605700002904630700002804659700002804687776015504715856007504870999001904945ocn950518678OCoLC20190328114815.0m     o  d        cr cnu|||unuuu160525s2016    mau     ob    001 0 eng d  aN$TbengerdaepncN$TdIDEBKdUIUdEBLCPdOPELSdN$TdCDXdOCLCFdYDXCPdGGVRLdDEBSZdUMIdSTFdIDBdCOOdVT2dMERUCdOCLCQdOCLCOdU3WdOCLCAdWRMdCNCGMdD6HdOCLCQdUOKdCEFdKSUdEZ9dOCLCQdDEBBGdOCLCQdWYUdUAB  a950689896a951221751a956735839a957614854a965800894a968121545  a9780128004784q(electronic bk.)  a0128004789q(electronic bk.)  a0128000066  a9780128000069  z97801280000693 a9780128000069  a(OCoLC)950518678z(OCoLC)950689896z(OCoLC)951221751z(OCoLC)956735839z(OCoLC)957614854z(OCoLC)965800894z(OCoLC)968121545 4aQA76.9.A25 7aCOMx0430502bisacsh04a005.822300aThreat forecasting : leveraging big data for predictive analysis / h[electronic resource]cJohn Pirc, David DeSanto, Iain Davison, Will Gragido. 1aCambridge, MA :bSyngress is an imprint of Elsevier,c2016. 4c�2016  a1 online resource  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  aIncludes index.0 aOnline resource; title from PDF title page (ScienceDirect, viewed June 6, 2016).0 aFront Cover; Threat Forecasting: Leveraging Big Data for Predictive Analysis; Copyright; Contents; About the Authors; Foreword; Why Threat Forecasting is Relevant; What You Will Learn and How You Will Benefit; Preface; Book Organization and Structure; Closing Thoughts; Acknowledgments; Chapter 1: Navigating Todays Threat Landscape; Introduction; Why Threat Forecasting; The Effects of a Data Breach; Barriers to Adopting Threat Forecasting Practices; Going Beyond Historical Threat Reporting; Timing; Generalization; The State of Regulatory Compliance; Industry Specific Guidelines.8 aHealthcare InstitutionsFinancial Institutions; Cyber Security Information Sharing Legislation: Watch this Space; Best Practices, Standards, and Frameworks; PCI DSS; NIST Cyber Security Framework; Defense in Depth; Tier 1 Security Technologies; Tier 2 Security Technologies; Update and Evaluate Security Products and Technologies; Cyber Security and the Human Factor; Today's Information Assurance Needs; Chapter 2: Threat Forecasting; Synopsis; Introduction; Threat Forecasting; Dangers of Technology Sprawl; High Speed Big Data Collection and Surveillance; Threat Epidemiology.8 aHigh Frequency Security AlgorithmsSummary; Chapter 3: Security Intelligence; Synopsis; Introduction; Security Intelligence; Information Vetting; KPIs; Programs; Scripts; Shortcuts; Other; Office Macros; Do It Yourself (DIY) Security Intelligence; Build; Buy; Partner; Key Indicator Attributes; Dissemination of Intelligence; Summary; Chapter 4: Identifying Knowledge Elements; Synopsis; Introduction; Defining Knowledge Elements; Intelligence Versus Information; A Quick Note About the Signal-to-Noise Ratio Metaphor; A Brief Note on IOCs and IOIs.8 aIdentifying Something Important Through the Use of IOAs, IOCs, and IOIsTypes of Knowledge Elements; IOA or Pre-attack Indicators; Indicators of Compromise; Indicators of Interest; Publicly Defined Knowledge Elements; OpenIOC; How It Works; How Do You Get It; Incident Object Description Exchange Format (RFC5070); IODEF Data Model; IODEF Implementation; IOCBucket.com; Cyber Observable eXpression; Summary; Chapter 5: Knowledge Sharing and Community Support; Synopsis; Introduction; Sharing Knowledge Elements; Advantages; Disadvantages; Community Sharing; VERIS; OpenIOC; TAXII; STIX; CybOX.8 aCommercial OfferingsStaying Ahead of the Adversary; Summary; Chapter 6: Data Visualization; Synopsis; Introduction; Common Methods; Big Data Analytics; Interactive Visualization; Not Just For the Boardroom; Summary; Chapter 7: Data Simulation; Synopsis; Introduction; Traffic Simulation vs Emulation; Environmental; Flow; Data Sandboxes; Analytic Engines; Quantum Computing; Summary; Chapter 8: Kill Chain Modeling; Synopsis; Introduction; Key Components of Kill Chain Modeling; Leveraging Big Data; Tools Available; Maltego; Splunk; OpenGraphiti; Creation of Data Files; STIX; Kill Chains in STIX.  aThis book discusses the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to develop threat forecasting techniques, and how to use threat data visualization techniques and threat simulation tools.  aIncludes bibliographical references and index. 0aComputer security. 0aBig data. 7aCOMPUTERSxSecurityxNetworking.2bisacsh 7aBig data.2fast0(OCoLC)fst01892965 7aComputer security.2fast0(OCoLC)fst00872484 4aElectronic books.1 aPirc, John,eauthor.1 aDeSanto, David,eauthor.1 aDavison, Iain,eauthor.1 aGragido, Will,eauthor.08iPrint version:aPirc, John.tThreat Forecasting : Leveraging Big Data for Predictive Analysis.dSaint Louis : Elsevier Science, �2016z9780128000069403ScienceDirectuhttp://www.sciencedirect.com/science/book/9780128000069  c247341d247341