Briefings·36 min
Ben Gelman · Sean Bergeron
For classifying malicious command lines, however, its practical application often results in high false positive rates, making it expensive and inefficient.
aidiversitymethodology+2
anomaly-detection
27 talks tagged with this topic.
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Car Hacking Village·19 min
Ravi Rajput
Introduces a sequence-learning approach that analyzes inter-signal correlations in raw CAN bus payloads to detect stealthy contextual automotive attacks.
automotivecan-busanomaly-detection+2
IEEE Symposium on Security and Privacy·18 min
Industry experts analyze emerging threats surrounding An Incremental Learner for Language-Based Anomaly Detection in XML.
detectionanomaly-detectionincremental+3
Kaspersky·17 min
unused Computing Power in Avionic · Automotive Applications
Engineers explore architecture and security mechanisms for Decentralized Anomaly Detection with unused Computing Power in Avionic and Automotive Applications.
automotivedetectionanomaly-detection
ROOTCON Hacking Conference·38 min
Analysts investigate attack surfaces and defenses concerning Anomaly Detection System.
detectionanomaly-detectionanomaly+1
S4 Events·50 min
Presenters detail vulnerability discovery and exploitation in ICS Anomaly Detection Panel.
detectionicsanomaly-detection
S4 Events·23 min
Analysts investigate attack surfaces and defenses concerning Shiny Object Syndrome ... Is OT Anomaly Detection Worth It?.
detectionanomaly-detectionshiny+3
Security BSides San Francisco·50 min
Evaluates BSidesSF 2023 - Hunting Supply Chain Threats Using Anomaly Detection (Craig Chamberlain) and evaluates key implications for security practitioners.
detectionanomaly-detectionbsidessf+1
The Linux Foundation·37 min
Marcel Hild
Analyzes AIOps: Anomaly Detection with Prometheus and Istio and evaluates key implications for security practitioners.
detectionanomaly-detectionaiop+2
The Linux Foundation·39 min
Nathan Boot · OpenSearch Project
Presents demystifying Anomaly Detection in OpenSearch and evaluates key implications for security practitioners.
detectionanomaly-detectiondemystifying+2
Videos·28 min
Industry experts analyze emerging threats surrounding Anomaly Detection using ML & Data Science.
detectionanomaly-detectiondata-science
Fortinet·6 min
Engineers explore architecture and security mechanisms for FortiSIEM Machine Learning: Bipartite Graph Edge Anomaly Detection | Security Operations.
machine-learningdetectionsecurity-operations+3
Hacktivity - IT Security Festival·37 min
Lin
Canbus examines Arun Mane & Nikhil Bogam - Making Anomaly Detection System(ADS) for Vehicles.
detectionanomaly-detectionarun+3
S4x24·32 min
Presents aspect Modeling for Process Variable Anomaly Detection and evaluates key implications for security practitioners.
detectionanomaly-detectionaspect+2
35th Annual FIRST Conference·33 min
Markov Chains
Engineers explore architecture and security mechanisms for AnoMark - Anomaly Detection in Command Lines with Markov Chains.
detectionanomaly-detectionanomark+3
Black Hat Europe·41 min
Eduardo Barbaro · Daan Hofman · Anna Lukina · Yury Zhauniarovich
Industry experts analyze emerging threats surrounding VoBERT: Unstable Log Sequence Anomaly Detection: Introducing Vocabulary-Free BERT.
detectionanomaly-detectionvobert+3
RSAC Cybersecurity·48 min
Industry experts analyze emerging threats surrounding Catch Me if You Can: Hunting Cloud Exfiltration Using Anomaly Detection.
detectionexfiltrationanomaly-detection
RSAC Cybersecurity·40 min
Security researchers examine technical aspects of Multi-Cloud Anomaly Detection: Finding Threats Among Us in the Big 3 Clouds.
detectionanomaly-detectionmulti-cloud
RSAC Cybersecurity·30 min
Industry experts analyze emerging threats surrounding Webcast: MIDAS: Real-Time Streaming Anomaly Detection in Dynamic Graphs.
detectionanomaly-detectionwebcast+3
HackInBo® Security Conference & Training·44 min
HackInBo® Spring Edition 2023
Anomaly detection and IP insights - Alessandra Bilardi.
detectionanomaly-detectionanomaly+3
Strange Loop Conference·41 min
Presenters detail vulnerability discovery and exploitation in "Scalable Anomaly Detection (with Zero Machine Learning)" by Arthur Gonigberg.
machine-learningdetectionanomaly-detection
Blue Team Village·25 min
Wendy Edwards
Wendy Edwards separates hype from reality in security AI, analyzing where machine learning excels in anomaly detection and where it fundamentally fails.
machine-learningaianomaly-detection+2
ICS Village·27 min
Stefan Stephenson-Moe
Stefan Stephenson-Moe presents physics-based state estimation techniques to detect Stuxnet-like sensor spoofing and false data injection in industrial controllers.
state-estimationsensor-tamperingphysics-based+2
AI Village·23 min
Andrew Morris
Identifying and correlating anomalies in internet-wide network scan data using machine learning.
anomaly-detectionmachine-learningnetwork-scanning+2