000			05554cam a2200589Ii 4500
001			ocn950518678
003			OCoLC
005			20190328114815.0
006			m o d
007			cr cnu|||unuuu
008			160525s2016 mau ob 001 0 eng d
040			_aN$T _beng _erda _epn _cN$T _dIDEBK _dUIU _dEBLCP _dOPELS _dN$T _dCDX _dOCLCF _dYDXCP _dGGVRL _dDEBSZ _dUMI _dSTF _dIDB _dCOO _dVT2 _dMERUC _dOCLCQ _dOCLCO _dU3W _dOCLCA _dWRM _dCNCGM _dD6H _dOCLCQ _dUOK _dCEF _dKSU _dEZ9 _dOCLCQ _dDEBBG _dOCLCQ _dWYU _dUAB
019			_a950689896 _a951221751 _a956735839 _a957614854 _a965800894 _a968121545
020			_a9780128004784 _q(electronic bk.)
020			_a0128004789 _q(electronic bk.)
020			_a0128000066
020			_a9780128000069
020			_z9780128000069
024	3		_a9780128000069
035			_a(OCoLC)950518678 _z(OCoLC)950689896 _z(OCoLC)951221751 _z(OCoLC)956735839 _z(OCoLC)957614854 _z(OCoLC)965800894 _z(OCoLC)968121545
050		4	_aQA76.9.A25
072		7	_aCOM _x043050 _2bisacsh
082	0	4	_a005.8 _223
245	0	0	_aThreat forecasting : leveraging big data for predictive analysis / _h[electronic resource] _cJohn Pirc, David DeSanto, Iain Davison, Will Gragido.
264		1	_aCambridge, MA : _bSyngress is an imprint of Elsevier, _c2016.
264		4	_c�2016
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aIncludes index.
588	0		_aOnline resource; title from PDF title page (ScienceDirect, viewed June 6, 2016).
505	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.
505	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.
505	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.
505	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.
505	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.
520			_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.
504			_aIncludes bibliographical references and index.
650		0	_aComputer security.
650		0	_aBig data.
650		7	_aCOMPUTERS _xSecurity _xNetworking. _2bisacsh
650		7	_aBig data. _2fast _0(OCoLC)fst01892965
650		7	_aComputer security. _2fast _0(OCoLC)fst00872484
655		4	_aElectronic books.
700	1		_aPirc, John, _eauthor.
700	1		_aDeSanto, David, _eauthor.
700	1		_aDavison, Iain, _eauthor.
700	1		_aGragido, Will, _eauthor.
776	0	8	_iPrint version: _aPirc, John. _tThreat Forecasting : Leveraging Big Data for Predictive Analysis. _dSaint Louis : Elsevier Science, �2016 _z9780128000069
856	4	0	_3ScienceDirect _uhttp://www.sciencedirect.com/science/book/9780128000069
999			_c247341 _d247341