Anomaly Detection for Proactive Risk Mitigation in Manufacturing

Jul 09, 2025

0 likes | 1 Vues

Whether it is inconsistencies in production line, variations in input material quality or properties, human errors, procedural lapse, or even data breaches, these risks can impact the manufacturers with reduced productivity, increased costs, missed delivery targets, regulatory non-compliance, and harm to brand reputation.

Share Presentation

Embed Code

Link

Polestar2

Télécharger la présentation

Anomaly Detection for Proactive Risk Mitigation in Manufacturing

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

Anomaly Detection

Anomaly Detection. Anomaly/Outlier Detection. What are anomalies/outliers? The set of data points that are considerably different than the remainder of the data Variants of Anomaly/Outlier Detection Problems

1.06k views • 17 slides

Boundary Detection in Tokenizing Network Application Payload for Anomaly Detection

Boundary Detection in Tokenizing Network Application Payload for Anomaly Detection. Rachna Vargiya and Philip Chan Department of Computer Sciences Florida Institute of Technology. Motivation. Existing anomaly detection techniques rely on information derived only from the packet headers

652 views • 28 slides

Cluster Analysis for Anomaly Detection

Cluster Analysis for Anomaly Detection. Sutapat Thiprungsri Rutgers Business School July 31 th 2010. Contribution. To demonstrate that cluster analysis can be used to build a model for anomaly detection in auditing.

409 views • 16 slides

Anomaly Detection

Anomaly Detection. Some slides taken or adapted from: “Anomaly Detection: A Tutorial” Arindam Banerjee , Varun Chandola , Vipin Kumar, Jaideep Srivastava , University of Minnesota Aleksandar Lazarevic , United Technology Research Center. Anomaly detection.

1.89k views • 50 slides

Anomaly Detection and Mitigation

Anomaly Detection and Mitigation. Outline. DoS and DDoS Anomaly Detection and Mitigation Systems Cisco DDoS Anomaly Detection and Mitigation Solutions Cisco Traffic Anomaly Detector Cisco Guard DDoS Mitigation Example. Denial of Service Attack. Denial of Service ( DoS )

428 views • 19 slides

Anomaly Detection Systems

Anomaly Detection Systems. Contents. Statistical methods parametric non-parametric (clustering) Systems with learning. Anomaly detection. Establishes profiles of normal user/network behaviour Compares actual behaviour to those profiles

1.17k views • 86 slides

RAIDM: Router-based Anomaly/Intrusion Detection and Mitigation

RAIDM: Router-based Anomaly/Intrusion Detection and Mitigation. Zhichun Li EECS Deparment Northwestern University 2008-04-29. Thesis Proposal. Outline. Motivation RAIDM System Design Finished Work Proposed Work Research Plan. Motivation. Attackers. Botnets. Worms. Motivation.

691 views • 59 slides

Traffic Anomaly Detection

Traffic Anomaly Detection. Nick Feamster CS 7260 February 20, 2006. Administrivia. Problem Set 2 Due Friday Quiz next Monday Open everything (notes, Web, etc.) Handful of reading questions 1-2 “Design Questions” based on things we’ve learned. Traffic Anomaly Detection: Motivation.

778 views • 40 slides

Anomaly Detection Systems

Anomaly Detection Systems. Contents. Statistical methods Systems with learning Clustering in anomaly detection systems. Anomaly detection.

1.31k views • 87 slides

Volume Anomaly Detection

CS 386M. Volume Anomaly Detection. December 3, 2009 Joohyun Kim Sooel Son. # Diagnosing Network-Wide Traffic Anomalies SIGCOMM 2004. # Spatio-Temporal Compressive Sensing and Internet Traffic Matrices (SIGCOMM 2009). The purpose of our project.

540 views • 29 slides

Towards Anomaly/Intrusion Detection and Mitigation on High-Speed Networks

Towards Anomaly/Intrusion Detection and Mitigation on High-Speed Networks. Yan Gao, Zhichun Li, Yan Chen Northwestern Lab for Internet and Security Technology (LIST) Department of Computer Science Northwestern University http://list.cs.northwestern.edu.

241 views • 9 slides

High-Performance Network Anomaly/Intrusion Detection & Mitigation System (HPNAIDM)

High-Performance Network Anomaly/Intrusion Detection & Mitigation System (HPNAIDM). Yan Chen Department of Electrical Engineering and Computer Science Northwestern University Lab for Internet & Security Technology (LIST) http://list.cs.northwestern.edu. The Spread of Sapphire/Slammer Worms.

567 views • 45 slides

Causal Modeling for Anomaly Detection

Causal Modeling for Anomaly Detection. Andrew Arnold Machine Learning Department, Carnegie Mellon University Summer Project with Naoki Abe Predictive Modeling Group, IBM Rick Lawrence, Manager June 23, 2006. Contributions.

526 views • 32 slides

Anomaly Detection in Communication Networks

Anomaly Detection in Communication Networks. Brian Thompson James Abello. Outline. Introduction and Motivation. Model and Approach. The MCD Algorithm. Experimental Results. Conclusions and Future Work. Outline. Introduction and Motivation. Model and Approach. The MCD Algorithm.

359 views • 30 slides

High-Performance Network Anomaly/Intrusion Detection & Mitigation System (HPNAIDM)

High-Performance Network Anomaly/Intrusion Detection & Mitigation System (HPNAIDM). Zhichun Li Lab for Internet & Security Technology (LIST) Department of Electrical Engineering and Computer Science Northwestern University. The Spread of Sapphire/Slammer Worms.

538 views • 52 slides

Causal Modeling for Anomaly Detection

359 views • 32 slides

RAIDM: Router-based Anomaly/Intrusion Detection and Mitigation

617 views • 59 slides

Visualizing Audio for Anomaly Detection

Visualizing Audio for Anomaly Detection. Mark Hasegawa-Johnson, Camille Goudeseune, Hank Kaczmarski, Thomas Huang, David Cohen, Xiaodan Zhuang, Xi Zhou, and Kyung-Tae Kim. Research Goals. Problem: Microphones are cheap, yet they are rarely used in security installations.

153 views • 9 slides

High-Performance Network Anomaly/Intrusion Detection & Mitigation System (HPNAIDM)

High-Performance Network Anomaly/Intrusion Detection & Mitigation System (HPNAIDM). Yan Chen Lab for Internet & Security Technology (LIST) Department of Electrical Engineering and Computer Science Northwestern University http://list.cs.northwestern.edu. The Spread of Sapphire/Slammer Worms.

458 views • 44 slides

High-Performance Network Anomaly/Intrusion Detection & Mitigation System (HPNAIDM)

474 views • 45 slides

Towards Anomaly/Intrusion Detection and Mitigation on High-Speed Networks

113 views • 9 slides

Anomaly Detection Market

The global anomaly detection market is estimated to grow at a promising rate during the forecast period. Get Report Details @ https://www.marketresearchfuture.com/reports/anomaly-detection-market-5756

78 views • 4 slides

More Related

Anomaly Detection for Proactive Risk Mitigation in Manufacturing

Anomaly Detection for Proactive Risk Mitigation in Manufacturing

Presentation Transcript

Anomaly Detection

Boundary Detection in Tokenizing Network Application Payload for Anomaly Detection

Cluster Analysis for Anomaly Detection

Anomaly Detection

Anomaly Detection and Mitigation

Anomaly Detection Systems

RAIDM: Router-based Anomaly/Intrusion Detection and Mitigation

Traffic Anomaly Detection

Anomaly Detection Systems

Volume Anomaly Detection

Towards Anomaly/Intrusion Detection and Mitigation on High-Speed Networks

High-Performance Network Anomaly/Intrusion Detection &amp; Mitigation System (HPNAIDM)

Causal Modeling for Anomaly Detection

Anomaly Detection in Communication Networks

High-Performance Network Anomaly/Intrusion Detection &amp; Mitigation System (HPNAIDM)

Causal Modeling for Anomaly Detection

RAIDM: Router-based Anomaly/Intrusion Detection and Mitigation

Visualizing Audio for Anomaly Detection

High-Performance Network Anomaly/Intrusion Detection &amp; Mitigation System (HPNAIDM)

High-Performance Network Anomaly/Intrusion Detection &amp; Mitigation System (HPNAIDM)

Towards Anomaly/Intrusion Detection and Mitigation on High-Speed Networks

Anomaly Detection Market

High-Performance Network Anomaly/Intrusion Detection & Mitigation System (HPNAIDM)

High-Performance Network Anomaly/Intrusion Detection & Mitigation System (HPNAIDM)

High-Performance Network Anomaly/Intrusion Detection & Mitigation System (HPNAIDM)

High-Performance Network Anomaly/Intrusion Detection & Mitigation System (HPNAIDM)