NETWORK INSIGHTS

A timely debut: how DPI engine R&S®vPACE is set to power VPP cloud platforms

FD.io’s VPP technology transforms conventional clouds into high-performance computing environments. VPP-based cloud implementations enable VNFs and CNFs to enjoy enhanced traffic speeds and latencies. This article discusses how the VPP-based DPI engine R&S®vPACE supports VNFs, CNFs and applications in the cloud in terms of monitoring, performance management, security and automation.

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Security Service Edge (SSE) and DPI: Converged security meets advanced traffic awareness

Security Service Edge (SSE) provides a flexible yet scalable solution for implementing fine-grained access control for enterprise applications and for securing them against malicious activity. In a unified, single-pass SSE architecture, deep packet inspection enables a single, yet powerful point for traffic inspection that equips CASB, SWG, FWaaS, DNS, DLP and WAAPaaS with the information necessary to filter traffic effectively, block malicious sites and safeguard valuable enterprise data. Learn more about SSE and how it benefits from DPI in this article.

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VPN and visibility: the paradox of secure networking

Secure connectivity provided by Virtual Private Networks (VPNs) enables enterprises to keep their users connected to enterprise resources. Real-time insights into VPN traffic help enterprises manage not just their own VPN services, but also third-party VPN traffic traversing their networks. This blog post discusses how deep packet inspection (DPI) delivers these insights and how enterprises can use these insights for enhanced performance and security of their networks.

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Uncovering hidden devices: using DPI to deliver NAT transparency for enterprise networks

Network address translation (NAT) allows devices in a private network to keep their own private IP addresses yet conceal this information from the public internet for secure and safe networking bringing about security challenges to enterprise networks. With insights on the devices and applications used in a NAT setup, IT administrators can implement better BYOD policies, formalizing unauthorized usages and aligning existing network security measures.

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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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Product brochure R&S®GSRM

GTP correlation software module for mobile subscriber awareness

By integrating R&S®GSRM (GTP Subscriber Resolving Module) as OEM software, vendors boost their solutions with reliable subscriber awareness. This subscriber-level traffic visibility empowers network packet brokers and IP probes with session-aware traffic aggregation, filtering and load balancing capabilities enabling mobile network operators to optimize network performance, manage quality of service (QoS) and quality of experience (QoE) for their subscribers.

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