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XANBAD™ [eXplAinable Neural networks
for Network Behavior Anomaly Detection]: malicious traffic is common in today’s
Internet. Intrusion Detection Systems (IDSs) provide a means to detect
patterns of bytes in packets that are certainly or probably associated with
malicious activity. This is essentially a pattern recognition task where an
IDS analyzes incoming data while attempting to detect known patterns
(signatures) that indicate the presence of a known intruder. Current
Intrusion Detection Systems (IDS) performance may become a bottleneck at high
bandwidth. There is, therefore, a need for a method and circuitry to form an
IDS that is able to detect intrusions, identify a variety of attacks, and run
at the real-time speed of the high performance network. |
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WHO_WE_ARE WHAT_WE_DO TECHNOLOGY General Synaptics Aerospace_&_Defence_Machine_Learning_Company VAT NUMBER:_IT0267070992 REA NUMBER: GE-503104 Email:_luca.marchese@synaptics.org |
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Copyright_©_2025 General Synaptics |
