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Network intelligence

April 14, 2024

Network intelligence (NI) is a technology that builds on the concepts and capabilities of deep packet inspection (DPI), packet capture and business intelligence (BI). It examines, in real time, IP data packets that cross communications networks by identifying the protocols used and extracting packet content and metadata for rapid analysis of data relationships and communications patterns. Also, sometimes referred to as Network Acceleration or piracy.

NI is used as a middleware to capture and feed information to network operator applications for bandwidth management, traffic shaping, policy management, charging and billing (including usage-based and content billing), service assurance, revenue assurance, market research mega panel analytics, lawful interception and cyber security. It is currently being incorporated into a wide range of applications by vendors who provide technology solutions to Communications Service Providers (CSPs), governments and large enterprises. NI extends network controls, business capabilities, security functions and data mining for new products and services needed since the emergence of Web 2.0 and wireless 3G and 4G technologies.[1][2][3][4]

Background edit

The evolution and growth of Internet and wireless technologies offer possibilities for new types of products and services,[4][5] as well as opportunities for hackers and criminal organizations to exploit weaknesses and perpetrate cyber crime.[6][7][8] Network optimization and security solutions therefore need to address the exponential increases in IP traffic, methods of access, types of activity and volume of content generated.[9][10] Traditional DPI tools from established vendors have historically addressed specific network infrastructure applications such as bandwidth management, performance optimization and quality of service (QoS).

DPI focuses on recognizing different types of IP traffic as part of a CSP's infrastructure. NI provides more granular analysis. It enables vendors to create an information layer with metadata from IP traffic to feed multiple applications for more detailed and expansive visibility into network-based activity.

NI technology goes beyond traditional DPI, since it not only recognizes protocols but also extracts a wide range of valuable metadata. NI's value-add to solutions traditionally based on DPI has attracted the attention of industry analysts who specialize in DPI market research. For example, Heavy Reading now includes NI companies on its Deep Packet Inspection Semi-Annual Market Tracker.[4]

Business Intelligence for data networks edit

In much the same way that BI technology synthesizes business application data from a variety of sources for business visibility and better decision-making, NI technology correlates network traffic data from a variety of data communication vehicles for network visibility, enabling better cyber security and IP services. With ongoing changes in communications networks and how information can be exchanged, people are no longer linked exclusively to physical subscriber lines. The same person can communicate in multiple ways – FTP, Webmail, VoIP, instant messaging, online chat, blogs, social networks – and from different access points via desktops, laptops and mobile devices.

NI provides the means to quickly identify, examine and correlate interactions involving Internet users, applications, and protocols whether or not the protocols are tunneled or follow the OSI model. The technology enables a global understanding of network traffic for applications that need to correlate information such as who contacts whom, when, where and how, or who accesses what database, when, and the information viewed. When combined with traditional BI tools that examine service quality and customer care, NI creates a powerful nexus of subscriber and network data.

Use in telecommunications edit

Telcos, Internet Service Providers (ISPs) and Mobile Network Operators (MNOs) are under increasing competitive pressures to move to smart pipe business models. The cost savings and revenue opportunities driving smart pipe strategies also apply to Network Equipment Providers, Software Vendors and Systems Integrators that serve the industry.

Because NI captures detailed information from the hundreds of IP applications that cross mobile networks, it provides the required visibility and analysis of user demand to create and deliver differentiating services, as well as manage usage once deployed.

Requirement Purpose Example Applications
Customer Metrics Understand customer demand
  • Audience measurement
  • User behavior analysis
  • Customer segmentation
  • Personalized services
Network Metrics
  • service ( Delivery )
  • events
 Identify / deliver / manage services
  • Bandwidth / resources optimization
  • Content / application-aware billing
  • Quality of Experience (QoE) analysis
  • VoIP fraud monitoring
  • Regulatory compliance

NI as enabling technology for smart pipe applications

Customer metrics are especially important for telecom companies to understand consumer behaviors and create personalized IP services. NI enables faster and more sophisticated Audience Measurement, User Behavior Analysis, Customer Segmentation, and Personalized Services.

Real-time network metrics are equally important for companies to deliver and manage services. NI classifies protocols and applications from layers 2 through 7, generates metadata for communication sessions, and correlates activity between all layers, applicable for bandwidth & resource optimization, QoS, Content-Based Billing, quality of experience, VoIP Fraud Monitoring and regulatory compliance.

Use in cloud computing edit

The economics and deployment speed of cloud computing is fueling rapid adoption by companies and government agencies.[11][12][13] Among concerns, however, are risks of information security, e-discovery, regulatory compliance and auditing.[14][15][16] NI mitigates the risks by providing Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) vendors with real-time situational awareness of network activity, and critical transparency to allay fears of potential customers. A vendor can demonstrate hardened network security to prevent Data Leakage or Data Theft and an irrefutable audit trail of all network transaction – communication and content – related to a customer's account, assuming compliance to regulation and standards.

Use in government edit

NI extracts and correlates information such as who contacts whom, when where and how, providing situational awareness for Lawful Interception and Cyber Security. Real-time data capture, extraction and analysis allow security specialists to take preventive measures and protect network assets in real time as a complement post-mortem analysis after an attack.

Use in business edit

Because NI combines real-time network monitoring with IP metadata extraction, it enhances the effectiveness of applications for Database Security, Database Auditing and Network Protection. The network visibility afforded by NI can also be used to build enhancements and next-generation solutions for Network Performance Management, WAN Optimization, Customer Experience Management, Content Filtering, and internal billing of networked applications.

References edit

  1. ^ Jessica Schieve (2011-02-23). . Light Reading. Archived from the original on 2011-05-11. Retrieved 2011-03-15.
  2. ^ Brian Partridge (2010-05-17). "Network Intelligence is Key to Profiting from Anywhere Demand". Yankee Group Anchor Report. Retrieved 2010-06-15.
  3. ^ Thibaut Bechetoille (2009-03-25). "The Everyday Relationship Between You and 'Your' Information: What's Out There on the Internet". TMCnet. Retrieved 2010-06-15.
  4. ^ a b c Simon Sherrington. "Deep Packet Inspection Semi-Annual Market Tracker". Heavy Reading. Retrieved 2010-06-15.
  5. ^ Aditya Kishore (2008-07-21). "Market Research: New Opportunity for Service Providers?". Light Reading. Retrieved 2009-07-27.
  6. ^ Shireen Dee (2009-02-03). "Qosmos Network Intelligence Helps Development of Smart Pipe Solutions". TMCnet. Retrieved 2009-07-27.
  7. ^ "MessageLabs Intelligence: 2008 Annual Security Report" (PDF). MessageLabs. 2009. Retrieved 2009-07-27.
  8. ^ "Big Data and Bigger Breaches With Alex Pentland of Monument Capital Group". 2015. Retrieved 2015-01-14.
  9. ^ "2008 Internet Security Trends". IronPort. 2008. Retrieved 2009-07-27.
  10. ^ Jordan Golson (2009-07-21). "A Brave New World: 700M New Net Users Seen By 2013". GigaOM. Retrieved 2009-07-27.
  11. ^ Stacey Higginbotham (2009-07-21). "Will P2P Soon Be the Scourge of Mobile Networks?". GigaOM. Retrieved 2009-07-27.
  12. ^ . IDC. 2008-10-20. Archived from the original on 2009-11-23. Retrieved 2009-07-28.
  13. ^ Tom Sullivan (2008-03-29). "More Cash for Cloud Computing in 2009". PC World. Retrieved 2009-07-28.
  14. ^ Henry Sienkiewicz (2008-04-30). "DISA's Cloud Computing Initiatives". Government Information Security Podcasts. Retrieved 2009-07-28.
  15. ^ Ephraim Schwartz (2008-07-07). "The dangers of cloud computing". Info World. Retrieved 2009-07-28.
  16. ^ Jon Brodkin (2008-07-02). . Info World. Archived from the original on 2009-03-18. Retrieved 2009-07-28.

April 14, 2024
network, intelligence, technology, that, builds, concepts, capabilities, deep, packet, inspection, packet, capture, business, intelligence, examines, real, time, data, packets, that, cross, communications, networks, identifying, protocols, used, extracting, pa. Network intelligence NI is a technology that builds on the concepts and capabilities of deep packet inspection DPI packet capture and business intelligence BI It examines in real time IP data packets that cross communications networks by identifying the protocols used and extracting packet content and metadata for rapid analysis of data relationships and communications patterns Also sometimes referred to as Network Acceleration or piracy NI is used as a middleware to capture and feed information to network operator applications for bandwidth management traffic shaping policy management charging and billing including usage based and content billing service assurance revenue assurance market research mega panel analytics lawful interception and cyber security It is currently being incorporated into a wide range of applications by vendors who provide technology solutions to Communications Service Providers CSPs governments and large enterprises NI extends network controls business capabilities security functions and data mining for new products and services needed since the emergence of Web 2 0 and wireless 3G and 4G technologies 1 2 3 4 Contents 1 Background 2 Business Intelligence for data networks 3 Use in telecommunications 4 Use in cloud computing 5 Use in government 6 Use in business 7 ReferencesBackground editThe evolution and growth of Internet and wireless technologies offer possibilities for new types of products and services 4 5 as well as opportunities for hackers and criminal organizations to exploit weaknesses and perpetrate cyber crime 6 7 8 Network optimization and security solutions therefore need to address the exponential increases in IP traffic methods of access types of activity and volume of content generated 9 10 Traditional DPI tools from established vendors have historically addressed specific network infrastructure applications such as bandwidth management performance optimization and quality of service QoS DPI focuses on recognizing different types of IP traffic as part of a CSP s infrastructure NI provides more granular analysis It enables vendors to create an information layer with metadata from IP traffic to feed multiple applications for more detailed and expansive visibility into network based activity NI technology goes beyond traditional DPI since it not only recognizes protocols but also extracts a wide range of valuable metadata NI s value add to solutions traditionally based on DPI has attracted the attention of industry analysts who specialize in DPI market research For example Heavy Reading now includes NI companies on its Deep Packet Inspection Semi Annual Market Tracker 4 Business Intelligence for data networks editIn much the same way that BI technology synthesizes business application data from a variety of sources for business visibility and better decision making NI technology correlates network traffic data from a variety of data communication vehicles for network visibility enabling better cyber security and IP services With ongoing changes in communications networks and how information can be exchanged people are no longer linked exclusively to physical subscriber lines The same person can communicate in multiple ways FTP Webmail VoIP instant messaging online chat blogs social networks and from different access points via desktops laptops and mobile devices NI provides the means to quickly identify examine and correlate interactions involving Internet users applications and protocols whether or not the protocols are tunneled or follow the OSI model The technology enables a global understanding of network traffic for applications that need to correlate information such as who contacts whom when where and how or who accesses what database when and the information viewed When combined with traditional BI tools that examine service quality and customer care NI creates a powerful nexus of subscriber and network data Use in telecommunications editTelcos Internet Service Providers ISPs and Mobile Network Operators MNOs are under increasing competitive pressures to move to smart pipe business models The cost savings and revenue opportunities driving smart pipe strategies also apply to Network Equipment Providers Software Vendors and Systems Integrators that serve the industry Because NI captures detailed information from the hundreds of IP applications that cross mobile networks it provides the required visibility and analysis of user demand to create and deliver differentiating services as well as manage usage once deployed Requirement Purpose Example ApplicationsCustomer Metrics Understand customer demand Audience measurement User behavior analysis Customer segmentation Personalized servicesNetwork Metrics service Delivery events Identify deliver manage services Bandwidth resources optimization Content application aware billing Quality of Experience QoE analysis VoIP fraud monitoring Regulatory complianceNI as enabling technology for smart pipe applicationsCustomer metrics are especially important for telecom companies to understand consumer behaviors and create personalized IP services NI enables faster and more sophisticated Audience Measurement User Behavior Analysis Customer Segmentation and Personalized Services Real time network metrics are equally important for companies to deliver and manage services NI classifies protocols and applications from layers 2 through 7 generates metadata for communication sessions and correlates activity between all layers applicable for bandwidth amp resource optimization QoS Content Based Billing quality of experience VoIP Fraud Monitoring and regulatory compliance Use in cloud computing editThe economics and deployment speed of cloud computing is fueling rapid adoption by companies and government agencies 11 12 13 Among concerns however are risks of information security e discovery regulatory compliance and auditing 14 15 16 NI mitigates the risks by providing Infrastructure as a Service IaaS Platform as a Service PaaS and Software as a Service SaaS vendors with real time situational awareness of network activity and critical transparency to allay fears of potential customers A vendor can demonstrate hardened network security to prevent Data Leakage or Data Theft and an irrefutable audit trail of all network transaction communication and content related to a customer s account assuming compliance to regulation and standards Use in government editNI extracts and correlates information such as who contacts whom when where and how providing situational awareness for Lawful Interception and Cyber Security Real time data capture extraction and analysis allow security specialists to take preventive measures and protect network assets in real time as a complement post mortem analysis after an attack Use in business editBecause NI combines real time network monitoring with IP metadata extraction it enhances the effectiveness of applications for Database Security Database Auditing and Network Protection The network visibility afforded by NI can also be used to build enhancements and next generation solutions for Network Performance Management WAN Optimization Customer Experience Management Content Filtering and internal billing of networked applications References edit Jessica Schieve 2011 02 23 Light Reading report Network Acceleration Managing Data Growth Light Reading Archived from the original on 2011 05 11 Retrieved 2011 03 15 Brian Partridge 2010 05 17 Network Intelligence is Key to Profiting from Anywhere Demand Yankee Group Anchor Report Retrieved 2010 06 15 Thibaut Bechetoille 2009 03 25 The Everyday Relationship Between You and Your Information What s Out There on the Internet TMCnet Retrieved 2010 06 15 a b c Simon Sherrington Deep Packet Inspection Semi Annual Market Tracker Heavy Reading Retrieved 2010 06 15 Aditya Kishore 2008 07 21 Market Research New Opportunity for Service Providers Light Reading Retrieved 2009 07 27 Shireen Dee 2009 02 03 Qosmos Network Intelligence Helps Development of Smart Pipe Solutions TMCnet Retrieved 2009 07 27 MessageLabs Intelligence 2008 Annual Security Report PDF MessageLabs 2009 Retrieved 2009 07 27 Big Data and Bigger Breaches With Alex Pentland of Monument Capital Group 2015 Retrieved 2015 01 14 2008 Internet Security Trends IronPort 2008 Retrieved 2009 07 27 Jordan Golson 2009 07 21 A Brave New World 700M New Net Users Seen By 2013 GigaOM Retrieved 2009 07 27 Stacey Higginbotham 2009 07 21 Will P2P Soon Be the Scourge of Mobile Networks GigaOM Retrieved 2009 07 27 IDC Finds Cloud Computing Entering Period of Accelerating Adoption and Poised to Capture IT Spending Growth Over the Next Five Years IDC 2008 10 20 Archived from the original on 2009 11 23 Retrieved 2009 07 28 Tom Sullivan 2008 03 29 More Cash for Cloud Computing in 2009 PC World Retrieved 2009 07 28 Henry Sienkiewicz 2008 04 30 DISA s Cloud Computing Initiatives Government Information Security Podcasts Retrieved 2009 07 28 Ephraim Schwartz 2008 07 07 The dangers of cloud computing Info World Retrieved 2009 07 28 Jon Brodkin 2008 07 02 Gartner Seven cloud computing security risks Info World Archived from the original on 2009 03 18 Retrieved 2009 07 28 Retrieved from https en wikipedia org w index php title Network intelligence amp oldid 1139140970, wikipedia, wiki, book, books, library,

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