book

Orchestrating and Automating Security for the Internet of Things: Delivering Advanced Security Capabilities from Edge to Cloud for IoT

by Anthony Sabella, Rik Irons-Mclean, Marcelo Yannuzzi

June 2018

Intermediate to advanced

1004 pages

36h 48m

English

Cisco Press

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About the Technical Reviewers

Defining the Internet of ThingsMaking Technology and Architectural DecisionsIs the Internet of Things Really So Vulnerable?SummaryReferences
The Attack ContinuumThe IoT System and Security Development LifecycleThe End-to-End ConsiderationsSegmentation, Risk, and How to Use Both in Planning the Consumer/Provider Communications MatrixSummaryReferences
The Building Blocks of IoTThe IoT HierarchyPrimary Attack TargetsLayered Security TiersSummaryReferences
Today’s Standard Is No StandardDefining StandardsThe Challenge with StandardizationIoT “Standards” and “Guidance” LandscapeStandards for NFV, SDN, and Data Modeling for ServicesCommunication Protocols for IoTSpecific Security Standards and GuidelinesSummaryReferences
What, Why, and Where? A SummaryApproaches to IoT Architecture DesignGeneral ApproachesIndustrial/Market FocusedNFV- and SDN-Based Architectures for IoTApproaches to IoT Security ArchitectureThe IoT Platform Design of TodaySummaryReferences
A Bit of History on SDX and NFV and Their InterplaySoftware-Defined NetworkingNetwork Functions VirtualizationThe Impact of SDX and NFV in IoT and Fog ComputingSummaryReferences
Security Considerations for the SDN LandscapeSecurity Considerations for the NFV LandscapeSummaryReferences
Next-Generation IoT Platforms: What the Research SaysNext-Generation IoT Platform OverviewExample Use Case WalkthroughSummaryReferences
Introduction to Identity and Access Management for the IoTAccess ControlAuthentication MethodsDynamic Authorization PrivilegesManufacturer Usage DescriptionAWS Policy-based Authorization with IAMAccountingScaling IoT Identity and Access Management with Federation ApproachesEvolving Concepts: Need for Identity Relationship ManagementSummaryReferences
Centralized and Distributed Deployment Options for Security ServicesFundamental Network Firewall TechnologiesIndustrial Protocols and the Need for Deeper Packet InspectionAlternative Solution: Deep Packet InspectionApplication Visibility and ControlIntrusion Detection System and Intrusion Prevention SystemAdvanced Persistent Threats and Behavioral AnalysisMalware Protection and Global Threat IntelligenceDNS-Based SecurityCentralized Security Services Deployment Example Using NSO, ESC, and OpenStackDistributed Security Services Deployment Example Using Cisco Network Function Virtualization Infrastructure Software (NFVIS)SummaryReferences
Data Lifecycle in IoTData at RestData in UseData on the MoveProtecting Data in IoTSummaryReferences
Virtual Private Network PrimerSite-to-Site IPsec VPNSoftware-Defined Networking-Based IPsec Flow Protection IETF DraftApplying SDN-Based IPsec to IoTSoftware-Based Extranet Using Orchestration and NFVRemote Access VPNSummaryReferences
(A) Visualization Dashboards and Multitenancy(B) Back-End Platform(C) Communications and Networking(D) Fog Nodes(E) End Devices or “Things”SummaryReferences
Use Cases IntroductionThe Evolving Technology Landscape for IoTThe Next-Generation IoT Platform for Delivering Use Cases Across Verticals: A SummarySmart CitiesSmart Cities OverviewThe IoT and Secure Orchestration Opportunity in CitiesSecurity in Smart CitiesSmart Cities Example Use CasesSummaryReferences
Industry OverviewThe IoT and Secure Automation Opportunity in Oil and GasThe Upstream EnvironmentThe Midstream EnvironmentThe Downstream and Processing EnvironmentsSecurity in Oil and GasOil and Gas Security and Automation Use Cases: Equipment Health Monitoring and Engineering AccessEvolving Architectures to Meet New Use Case RequirementsSummaryReferences
Connected Car OverviewThe IoT and Secure Automation Opportunity for Connected CarsSecurity for Connected CarsConnected Car Security and Automation Use CaseSummaryReferences
A Smarter, Coordinated Approach to IoT SecurityBlockchain OverviewBlockchain for IoT SecurityMachine Learning and Artificial Intelligence OverviewMachine LearningDeep LearningNatural Language Processing and UnderstandingNeural NetworksComputer VisionAffective ComputingCognitive ComputingContextual AwarenessMachine Learning and Artificial Intelligence for IoT SecuritySummaryReferences