Search results
-
Nowhere to hide: Using deep packet inspection for threat detection
Sudden changes in application speeds and latencies can indicate a cyberattack. This article discusses how threat detection can be augmented with deep packet inspection. It looks at how granular, application-level and service-level insights from DPI can be built into an enterprise’s threat detection system for highly accurate and reliable identification of malicious, suspicious and anomalous traffic.
Blog post
-
CloudGen Firewall from Barracuda relies on DPI engine R&S®PACE 2 from ipoque
Success Story
-
DPI for firewalls
Use Case
-
Next-gen deep packet inspection software
Page
-
GTP correlation for mobile network security
Use Case
-
Orsec Technologies SAS embeds R&S®PACE 2
Success Story
-
DPI for NPM and APM solutions
Use Case
-
DPI enables complete network perimeter protection
To prevent hackers from infiltrating the network, CELARE, a major provider of network security solutions, has embedded the deep packet inspection (DPI) software R&S®PACE 2 by ipoque, a Rohde & Schwarz company, into their network monitoring platform. With R&S®PACE 2, CELARE gets real-time insights into network traffic, revealing potential threats before they strike.
Case Study
-
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
-
Rohde & Schwarz launches VPP-native OEM DPI engine R&S®vPACE to drive network traffic visibility for cloud computing environments
Leipzig, Germany — April 20, 2022 — ipoque GmbH, a Rohde & Schwarz company, today announced the launch of R&S®vPACE, its vector packet processing (VPP)-native deep packet inspection (DPI) engine designed specifically to meet the IP traffic visibility needs in cloud computing environments. As a cloud-optimized module, R&S®vPACE powers virtualized and cloud-native functions (VNFs/CNFs) such as 5G user plane functions with real-time, deep traffic insights.
Press release