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1. DPI conquers encrypted traffic 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

2. Using AI-based deep packet inspection to power AI-driven networks

   In traffic management, AI-powered predictive capabilities enable networking devices to align rules and policies to the future state, ensuring virtually zero policy lags, while removing potential over-corrections that are typical in automation frameworks. This blog post examines how ipoque’s DPI technology and encrypted traffic intelligence enable AI-powered networks to deliver superior predictions and improved outcomes.

   Blog post

3. How next-gen DPI addresses the shortcomings of SSL/TLS inspection

   Decryption using SSL/TLS inspection is admittedly the simplest method to address the loss of traffic visibility due to encryption. Deciphering the payload information provides all the prerequisite information at the packet level, allowing network administrators to manage and secure traffic flows effectively and efficiently. This article highlights the shortcomings of SSL/TLS. It discusses how next-gen DPI, equipped with encrypted traffic intelligence (ETI) addresses these limitations by combining advanced techniques such as machine learning, deep learning and advanced caching.

   Blog post

4. TLS 1.3, ESNI, ECH and QUIC: Taming new age cryptography with DPI and AI/ML-based encrypted traffic intelligence

   Complex encryption protocols often lead to huge gaps in traffic visibility. This article explores the latest encryption protocols, such as TLS 1.3, DoX and ESNI, and how progressive erosion of traffic information, such as handshake and packet payload data, impact traditional DPI. It looks at how AI-based techniques, including machine learning and deep learning, tackle these protocols and why next-gen DPI is a must for modern networks.

   Blog post

5. Whitepaper: Encrypted traffic visibility

   Encryption is rapidly becoming synonymous with network security and privacy. However, encryption presents challenges in the form of diminished network visibility and control which can be disruptive to networks that are highly reliant on deep network insights into managing and securing their data and assets. This whitepaper reviews encryption protocols, loss of traffic visibility and the associated adverse impact on network functionalities. It provides insights on how the incorporation of encypted traffic intelligence (ETI), including cutting-edge ML / DL techniques, circumvents the limitations associated with conventional deep packet inspection.

   Whitepaper

6. 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

7. Product demo: Next-gen DPI with encrypted traffic intelligence

   Keeping up with the continuous advancements in encryption presents a challenge for deep packet inspection in providing real-time insights on IP traffic. However, to maintain network functionalities that depend on immediate detection, DPI must incorporate additional techniques capable of identifying encrypted, obfuscated, and anonymized traffic. Discover how machine learning and deep learning can complement DPI to deliver encrypted traffic visibility.

   Webinar

8. What is deep packet inspection (DPI) and why do we need it? An in-depth guide.

   Deep packet inspection (DPI) provides traffic awareness and visibility. It classifies traffic by protocols, applications and services and helps to detect flows that are malicious, suspicious and anomalous. Next-gen, advanced DPI solutions merge pattern matching with statistical, behavioral and heuristic analyses and AI-based methods such as machine learning and deep learning to deliver real-time traffic intelligence for various networking and cybersecurity use cases. Learn more in this article.

   Blog post

9. 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

10. 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