LATEST NEWS

Rohde & Schwarz Cybersecurity’s Deep Packet Inspection Software Now Detects Bitcoin Transactions in Network Traffic

The new Bitcoin protocol classification functionality enhances network analytics and security solutions to identify Bitcoin network activity. This enables enterprises to identify, control and block bitcoin transactions within a network.

Rohde & Schwarz Cybersecurity, a leading IT security company, today announced the availability of its new Bitcoin protocol classification capabilities provided by the deep packet inspection (DPI) engine R&S PACE 2. The OEM software solution is now able to reliably detect and classify the Bitcoin protocol in network traffic in real time.

Bitcoin is a cryptocurrency and a digital payment system. Transactions are made peer-to-peer and are written directly on a distributed ledger named “blockchain”. The digital money is issued and managed without any central authority – meaning no governments or banks are involved. The virtual money can be exchanged for other currencies, products and services and shopping web sites accept cryptocurrencies as a method of payment.

With the new Bitcoin protocol classification capabilities provided by R&S PACE 2, vendors embedding the DPI engine in their network security and analytics solutions are now able to classify Bitcoin transactions within IP-based network traffic in order to fully understand how a network is utilized.

They can accurately and reliably identify Bitcoin network activities and implement security policies accordingly. This increases their visibility of and their control over potential security risks related to Bitcoin transactions.

The DPI software library R&S PACE 2 provides powerful and reliable detection and classification of thousands of applications and protocols by combining deep packet inspection and behavioral traffic analysis – regardless of whether the protocols use advanced obfuscation, port-hopping techniques or encryption. DPI is needed everywhere in the network where intelligent decisions need to be made based on the nature of IP traffic, whether it is wanted or unwanted traffic, good or malicious.

Liat

Recent Posts

Quantum Machines Makes Second European Acquisition in Six Weeks as Quantum Closes In on Real-World Advantage

This acquisition further establishes Quantum Machines as the quantum company with the broadest global footprint,…

2 weeks ago

IQE and Tower Semiconductor Announce Multi-year InP epiwafer Supply Agreement

Supporting planned growth in InP silicon photonics technology Resolving all prior IP disputes between the…

2 weeks ago

Jedify Raises $24 Million in Series A Funding to Build Context Graphs for Enterprise AI Agents

Norwest leads the round with strategic participation from Snowflake Ventures, as Jedify addresses the AI…

3 weeks ago

Shifters Raises $10.2 Million Seed Round Led by Ace Capital Partners to Advance AI-Native Ground Robotics

Round brings total funding to $15 million from U.S., European and Israeli investors to support…

4 weeks ago

Quantum Machines Reaches a Novera QPU Performance Milestone with Its OPX1000 Platform

Quantum Machines achieves 99.5% median two-qubit gate fidelity when operating Rigetti Computing’s Novera™ superconducting QPU…

1 month ago