HomeNewsIndia NewsR&S's SCADA decoder protects M2M communications from malicious code

    R&S’s SCADA decoder protects M2M communications from malicious code

    vvMachine to machine (M2M) communications including IoT data needs to be protected from hidden malicious code. The SCADA decoder available as part of R&S PACE 2 is now featured in CELARE’s innovative T-SENSE product and offered to industrial plant owners for the protection of their data network infrastructure.

    SCADA (Supervisory Control and Data Acquisition), is an Industrial Control System (ICS) application for remote monitoring and control which helps secure M2M communication using standards such as IEC 60870-5-104, the protocol for network access for tele-control tasks. The integrated SCADA decoder licensed with the R&S PACE 2 engine from Rohde & Schwarz Cybersecurity supports this protocol and is capable of decoding specific M2M commands. This allows the identification of malicious code disguised as regular commands and helps prevent cyberattacks such as the power outage in Ukraine in late 2015 which affected 225,000 customers. CELARE, a leading provider of Cyber and Network Analysis, is now using this latest version of R&S PACE 2 in its innovative product T-SENSE. The software-based solution combines a variety of cutting-edge technologies and uses a non-intrusive approach to provide visibility over IT and SCADA networks.

    R&S PACE 2 is a software engine capable of identifying thousands of protocols and applications. It is needed everywhere in the network where intelligent decisions need to be made based on the nature of the IP traffic, whether it is wanted or unwanted traffic, good or malicious. Industrial control systems (ICS) such as SCADA present an attractive target for those who seek to cause disruption or to threaten critical infrastructure such as water, oil, gas and energy factory communications channels.

    Visit Rohde & Schwarz Cybersecurity at www.rohde-schwarz.com

    ELE Times Bureau
    ELE Times Bureauhttps://www.eletimes.ai/
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