Encryption greatly enhances the security and privacy of data. However, it introduces new challenges in terms of network monitoring and security, as it gives networks only limited visibility into the underlying traffic flows. To reinstate traffic awareness across IP networks, ipoque has enhanced its OEM deep packet inspection (DPI) technology with encrypted traffic intelligence (ETI) for accurate and highly reliable, real-time analysis of encrypted network traffic.
By leveraging advanced machine learning (ML) and deep learning (DL) techniques and high-dimensional data analysis, ETI complements ipoque’s market-leading traffic identification and classification methodologies and metadata extraction to deliver granular visibility for protocols, applications and services that are encrypted. With over 1000 features, including statistical, time-series and packet-level features, ipoque‘s ML/DL capabilities boast the ability and the capacity to learn extremely complex patterns and DL automatically identifies the features to be used in such algorithms.
ML and DL techniques combined with the behavioral and statistical/heuristic analysis provided by ipoque‘s DPI technology deliver fine-grained traffic analysis not only into encrypted traffic but also into anonymized and obfuscated traffic.
