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Winning the game of truth with network traffic classification accuracy powered by DPI
As networks move towards automation, AI-based techniques such as machine learning (ML) and deep learning (DL) are employed by new architectures such as SDN to invoke and control network functions autonomously. This automation, however, hinges on both real-time traffic inputs as well as past data on protocols, applications and service types. The more accurate past classification data is, the more meaningful the algorithms and features defined in the AI systems will be. This leads to improved network responses and a higher predictive capability across networks.
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Statement of Privacy / Data Protection
Privacy Statement
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Solution guide - Next generation deep packet inspection software
Next-gen DPI technology from ipoque provides granular insights into IP traffic by detecting protocols, applications and even application attributes and services (for example video, audio, chat or file transfers in a messaging client). Metadata extraction reveals specific information on speed, latency, user locations, jitter, bandwidth consumption, type of devices, etc. With a wide range of traffic classification methods, including port-based matching, pattern matching, behavioral analysis and statistical/heuristic analysis, the ipoque DPI solutions provide more than standard DPI and deliver modern networks with what they need most – intelligence.
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Buyers guide - Top 10 checklist for sourcing DPI software
What are the top 10 criteria when licensing DPI from an OEM vendor to integrate deep packet inspection software into your networking or cybersecurity solutions?
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DPI for SD-WAN solutions
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Next-gen deep packet inspection software
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DPI for vEPC/ 5G core vendors
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About us | From network data to intelligence
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License next-generation DPI software from an expert, use open-source DPI or build an own DPI solution?
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DPI for SIEM and threat intelligence solutions
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