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  1. 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

  2. Whitepaper: Enabling Application-Centric Mobile Networks

    Demand for embedded application-aware network solutions is coming primarily from mobile operators as new applications and services hit the network daily with widely varying traffic patterns and bandwidth needs. Revenue is lagging, traffic is growing and users are increasingly demanding a consistently high quality of service regardless of where they are or what device they are using.

    Whitepaper

  3. Next-gen deep packet inspection software

    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

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    • Video streaming: networks and the game of bandwidth

      It is evident that video streaming is on a fast track to becoming the new definition of the ‘Internet’, easily outdoing other bandwidth-intensive applications such as cloud gaming, augmented reality (AR) and virtual reality (VR). The demand for video content seems to move in tandem with network speeds, given that better speeds translate into faster streaming and improved quality of experience (QoE). One of the immediate effects of a rapid increase in video traffic is the strain it puts on network resources, resulting in network congestion and poor network performance. While this impairs almost all applications to some degree, video takes the biggest hit given its dependency on real-time availability of bandwidth and speeds. What operators need now are the right tools that deliver the required intelligence, timely and accurately, to maintain the required QoE and to successfully deploy their video streaming strategies.

      Blog post

    • DPI engine R&S®PACE 2

      The application classification and metadata extraction software R&S®PACE 2 is the best performing advanced deep packet inspection software on the market. When R&S®PACE 2 is embedded in networking and security products it adds real-time network traffic and application visibility up to layer 7. Our advanced deep packet inspection software classifies thousands of applications and protocols, provides content and metadata extraction and delivers metrics and heuristics from IP traffic, even when faced with advanced obfuscation and encryption techniques. R&S®PACE 2 enhances network monitoring, network analytics and network security solutions such as firewalls, routers, SD-WAN solutions, IoT gateways and is a critical enabler for a more secure, reliable and efficient network.

      Product

    • Identifying bestseller strategies: analytics and content monetization for telecom operators

      When it comes to content business for telecom operators, borrowed strategies rarely work because no two markets are the same and no two operators are endowed with similar resources. This blog article discusses telecom operator content strategies and how real-time analytics of traffic flows help them develop, improve and implement these strategies. It assesses in particular, how DPI-driven analytics help in the choice of content and content partnerships, content delivery and pricing models.

      Blog post

    • Winning in an app-centric world: How DPI’s latest traffic signatures keep networks ahead of the game

      What are the latest trends in apps and what's the impact of app traffic on the security and management of IP networks? TikTok, Facebook, WhatsApp, Facebook Messenger, Instagram and Zoom have become absolutely essential for everyone, especially with the outbreak of the pandemic. How do network operators manage this increased app traffic? Read about the importance of frequently updated signature libraries for DPI in managing app traffic.

      Blog post

    • Cutting up the perfect piece: DPI-enhanced traffic intelligence for 5G network slicing

      Unlike its predecessor networks, 5G involves network slicing which overlays logical networks on a common infrastructure, creating different ‘slices’ that act as separate networks. This article discusses the need for real-time traffic intelligence for 5G network slicing. It explains 5G network slicing, the 5G usage classes and how real-time intelligence provided by DPI enables the creation and implementation of various traffic management policies as well as how it supports network optimization and monetization.

      Blog post

    • Harnessing intelligence at the core with DPI for vEPC

      The shift from an EPC to a vEPC opens up the possibility for networks to manage capacities as needed while scaling and customizing the network dynamically based on traffic conditions and application requirements. What’s the role of deep packet inspection (DPI) in creating these highly responsive, scalable and agile 4G networks? This article discusses the need for DPI-powered intelligence in the vEPC as DPI provides real-time traffic insights on applications, protocols, traffic attributes, malware and other data required to implement traffic management, security and content management policies, not only across the core but also throughout the network.

      Blog post

    • 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