The OEM software adds IP traffic analytics capabilities to network equipment solutions to enable security and traffic control and to guarantee uninterrupted network availability and continuity.
Rohde & Schwarz Cybersecurity, a leading provider of deep packet inspection (DPI) software for embedded network devices and systems, announced that the company will present its OEM DPI engine R&S PACE 2 at Embedded World 2018 in hall 4, booth 218. By implementing R&S PACE 2 in embedded devices, vendors of firewalls, gateways, switches, and routers are able to gain full IP traffic visibility in real time in order to assure security and connectivity across networks, devices, and applications.
Security has become a major concern for the makers of embedded devices that work by isolating systems and offer only partial protection – mainly only against known attack vectors. Vulnerabilities are rising dramatically as the attack surface widens and manufacturers struggle to protect sensitive data, intellectual property, and process integrity. A successful attack on an embedded device or system can expose confidential information such as know-how, intellectual property, customer data, and process intelligence. The Mirai botnet is just one example of how the Internet was taken by storm in late 2016, when it overwhelmed several high-profile targets with massive distributed denial-of-service (DDoS) attacks.
With its DPI software R&S PACE 2, Rohde & Schwarz Cybersecurity provides an easy-to-integrate, scalable, and customizable turnkey OEM solution to meet embedded security challenges. R&S PACE 2 classifies thousands of applications and protocols, provides content and metadata extraction, and delivers metrics and heuristics from IP traffic in real time. When applied in a firewall, embedded developers can achieve reliable application visibility that allows for controlling of network traffic and for facilitating the secure delivery of critical applications and services.
R&S PACE 2 operates in real time, provides weekly application and protocol signature updates and is optimized for fast processing, efficient memory utilization, and classification accuracy.