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28 results for: "deep learning"


  1. DPI conquers traffic encryption with machine learning and deep learning

    Encryption keeps packets obscure and safe, but it also poses various visibility and monitoring challenges for network operators. In an encrypted world, how can they maintain accurate traffic visibility and classification for reliable threat detection and network management? The answer is Encrypted Traffic Intelligence (ETI). By incorporating machine learning and deep learning, the DPI engine R&S®PACE 2 is able to deliver this intelligence, providing application awareness for encrypted, obfuscated or anonymized traffic.

    Blog post Score: 22

  2. First packet classification in an encrypted world

    As new encryption technologies proliferate, caching-based first packet classification used in DPI will become increasingly ineffective in identifying the underlying applications and services. As a result, there is an urgent need to develop advanced DPI methods, leveraging machine learning (ML) and deep learning (DL) to ensure applications and services are effectively and accurately identified

    Blog post Score: 0

  3. Orsec Technologies boosts next-generation intelligence solution with DPI by Rohde & Schwarz

    Leipzig, Germany – May 22, 2019 – ipoque GmbH, a Rohde & Schwarz company providing market-leading deep packet inspection (DPI) software, today announced that Orsec Technologies SAS has licensed its DPI engine R&S®PACE 2 for their cyber threat hunting solution oorigin®. Providing accurate traffic analytics and a rich set of metadata in real time, R&S®PACE 2 significantly strengthens Orsecs threat hunting capabilities. This allows for more accurate alerts, faster threat detection and enhanced machine learning.

    Press release Score: 0

  4. Product brochure R&S®PACE 2

    R&S®PACE 2 is a software library that uses different technologies – deep packet inspection, behavioral, heuristic and statistical analysis – to reliably detect network protocols and applications, even if they use advanced obfuscation and encryption techniques, and extract metadata in realtime. R&S®PACE 2 is used by network equipment and security vendors to enhance their products with state-of-the-art protocol and application awareness capabilities to deliver full visibility into IP-based network traffic.

    Brochure Score: 0

  5. R&S®PACE 2 - First packet classification

    First packet classification refers to the accurate and reliable classification of the very first packet of a flow, instead of waiting for at least 3 to 5 packets before the underlying application is identified. To enable first packet classification the advanced OEM DPI engine R&S®PACE 2 offers advanced caching techniques built on the intelligence developed from traditional DPI methods. This enables traffic policies to be meted out on the first packet itself, and implemented across all other ensuing packets for consistency, application-wide.

    Brochure Score: 0

  6. Advanced deep packet inspection

    ipoque offers the best deep packet inspection software to add real-time network and application visibility to your telco network analytics, traffic management, or cybersecurity solutions. If you are looking for ways to manage and secure your network as well as managing data flows more intelligently, ipoque’s advanced DPI technology can help you solve your challenges. The key to maintaining integrity, ensuring security and optimizing the efficiency of networks is a high-performant and efficient deep packet inspection software that delivers full visibility into IP-based network traffic in real time. By licensing our leading-edge DPI tool you can focus on your core competencies and benefit from a faster time to market. With our overview of use cases you can identify easily what are the advantages of integrating DPI technology into your product or solution.

    For software vendors, network equipment vendors and solution builders

      Page Score: 0

    • Rohde & Schwarz and Helmut Schmidt University Hamburg conduct joint research

      Leipzig, Germany – April 15, 2019 – ipoque GmbH, a Rohde & Schwarz company, today announced a strategic research partnership with Helmut Schmidt University in Hamburg to establish a program of exchange and collaboration. The R&S subsidiary provides market-leading network analytics solutions for more secure, reliable and efficient networks. The joint research will focus on artificial intelligence, machine learning and big data analytics and runs for 4 years.

      Press release Score: 0

    • Orsec Technologies SAS embeds R&S®PACE 2

      "The content and metadata extracted from traffic flows by the DPI engine R&S®PACE 2 provides a rich information feed we use to boost our machine learning for user and device behavior analytics. This empowers our solution to [...]

      Success Story Score: 0

    • Saint Security embeds R&S®PACE 2

      “The content and metadata extraction functionality provided by the DPI engine R&S®PACE 2 allows us to extract fine-grained information of file content. The information helped us to [...]"

      Success Story Score: 0

    • Game changer 5G - Capture new opportunities using DPI

      Deep packet inspection (DPI) becomes key in 5G as it provides real-time network visibility and real-time application awareness from the core to the edge and across all layers and nodes within the network. At this page, we have summarized all our expert knowledge and publications providing a detailed understanding of how DPI enhances 5G to help you capture new opportunities. Get insights on how to accelerate 5G for your business with real-time application awareness powered by deep packet inspection technology.

      Page Score: 0