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  1. How to create and customize DPI signatures for R&S®PACE 2

    Deep packet inspection (DPI) analyzes evolving network traffic. However, to ensure that existing DPI libraries meet the needs of users with niche or propietary applications, it is necessary that users are able to define and add custom signatures to the existing repository, based on their current requirements. The custom service classifier (CSC) plug-in by ipoque enables the creation of custom signatures using JSON. It grants flexibility and independence to curate a unique library, enriching network intelligence and meeting monitoring needs. R&S®PACE 2

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  2. Handling Log4j security vulnerabilities with deep packet inspection

    Log4j is a library used by Java developers to record or log network events. However, recently it has come to light that Log4j allows for significant security breaches and attacks. Log4j security vulnerabilities have taken the IT world by storm. A simple email message can be manipulated to instruct Log4j to leak critical data over the Internet, execute crypto mining and launch ransomware. DPI can stave off such threats by offering real-time detection of Log4jShell exploits and the real-time identification of consequential attacks on the system.

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  3. Reinstating cloud visibility with deep packet inspection

    Deep packet inspection software delivers cloud visibility by equipping analytics intermediaries with application awareness which can be used to select and forward cloud traffic to a wide range of monitoring, security and network management tools. For distributed applications hosted and delivered from different clouds, the analysis provided by R&S®PACE 2 ensures that no gaps are left unattended in managing and delivering critical applications. Likewise, R&S®PACE 2 enables further optimization of cloud security management by coupling inspection of traffic anomalies with application awareness.

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  4. 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.

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  5. Facebook, YouTube and Instagram: Tackling app frenzy with DPI-driven application awareness

    It goes without saying that applications are driving today's networks. The rapid growth of application traffic and global trends in application usage are the focus of this article. In particular, it explores the role of deep packet inspection in providing the granular application visibility needed to ensure network performance, allocating network assets, managing application-related threats, and providing superior user satisfaction.

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  6. How to win the latency race with DPI-driven WAN optimization

    WAN optimization is becoming increasingly important in managing bandwidth. Explore how DPI supports various techniques used for WAN optimization, namely QoS management involving prioritization and load balancing, deduplication, caching, compression and CDN. It assesses how granular insights at the packet- and application-level expedite network optimization decisions, and how this improves latencies and application performance across WANs and SD-WANs.

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  7. How first packet classification drives application performance and security

    This article explores the importance of first packet classification (FPC), as an enhancement to deep packet inspection (DPI), in handling URLLC and bandwidth-intensive applications, as well as critical apps used for enterprises, financial transactions and IoT. Apart from enhancing application performance and security, FPC’s instant traffic awareness drives application-based policies and accurate diagnostics for next-gen intelligent networks.

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