Advanced Encrypted Traffic Analysis Sample Clauses

Advanced Encrypted Traffic Analysis. ‌ Problem and challenges There are various challenges that need to be addressed for analysing encrypted traffic, e.g., traffic clustering, classification, anomaly detection, etc. [39] With respect to both traffic classification and anomaly detection, there is a particular need to perform malware and attack detection and identification. The growing popularity of traffic encryption increases user security at the individual level, but at the same time it has become a big challenge for traffic analysis, imposing the need to explore improved analysis techniques based on other criteria, such as behaviour analysis. Compared to ordinary traffic, most of the information within encrypted traffic is meaningless, as it is the payload that is encrypted (e.g., TLS at OSI layer 4) or even the header is encrypted (e.g., IPsec at OSI layer 3). It thus implies that there are significantly less features that a tool can gather when using Deep Packet Inspection (DPI) techniques. With the introduction of network encryption techniques, such as the TLS protocol, the accuracy and efficiency of conventional Network Intrusion Detection Systems (NIDS) that were using rule and signature-based monitoring detection methods is greatly reduced, in some cases rendering them completely useless. Moreover, the variety and dynamicity of the traffic malware poses a significant challenge on traffic monitoring tools in terms of flexibility and generalization of their algorithms. New encrypted traffic analysis tools need to be adaptable not only to ever evolving attacks, but also to new protocols, policies and potentially to new breakthrough technologies that are constantly being developed. It is also important to note that encrypted traffic analysis, similarly to non-encrypted one, is most useful when done in an on-line, real-time manner. Independent of the particular use-case, most applications and security functions require the ability to directly react to what is happening in the network on the fly, especially when it involves the detection of malware. Finally, one of the most obvious but equally important challenges of encrypted traffic analysis is the precision of the results. While high accuracy of the analysis is expected, simultaneously the system cannot be prone to high number of false positives either. State of the art analysis In order to tackle the aforementioned challenges, numerous different approaches for executing analysis of encrypted traffic have emerged during the last years. A...