Difference between revisions of "Cybersecurity"
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* [[Offense - Adversarial Threats/Attacks]] | * [[Offense - Adversarial Threats/Attacks]] | ||
* [[Cybersecurity Frameworks, Architectures & Roadmaps]] | * [[Cybersecurity Frameworks, Architectures & Roadmaps]] | ||
| + | ** [http://aka.ms/MCRA-MVA Cybersecurity Reference Architecture] | ||
* [[Cybersecurity Companies/Products]] | * [[Cybersecurity Companies/Products]] | ||
* [[Cybersecurity: National Institute of Standards and Technology (NIST) & U.S. Department of Homeland Security (DHS)]] | * [[Cybersecurity: National Institute of Standards and Technology (NIST) & U.S. Department of Homeland Security (DHS)]] | ||
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* [[Watch me Build a Cybersecurity Startup]] | [[Creatives#Siraj Raval|Siraj Raval]] | * [[Watch me Build a Cybersecurity Startup]] | [[Creatives#Siraj Raval|Siraj Raval]] | ||
| + | <youtube>u-EQHbqWY60</youtube> | ||
<youtube>cjo_u_yT2wQ</youtube> | <youtube>cjo_u_yT2wQ</youtube> | ||
<youtube>YiUN35Ikdfw</youtube> | <youtube>YiUN35Ikdfw</youtube> | ||
Revision as of 18:37, 5 October 2020
Youtube search... ...Google search
- Case Studies
- Capabilities
- Cybersecurity References
- Offense - Adversarial Threats/Attacks
- Cybersecurity Frameworks, Architectures & Roadmaps
- Cybersecurity Companies/Products
- Cybersecurity: National Institute of Standards and Technology (NIST) & U.S. Department of Homeland Security (DHS)
- Defense: Cybersecurity and Acquisition Lifecycle Integration Tool (CALIT)
- Cybersecurity: Evaluating & Selling
- (Artificial) Immune System
- 5G Security
- Useful Models ...find outliers:
- Detecting Malicious Requests with Keras & TensorFlow | Adam Kusey - Medium
- Best security software: How 12 cutting-edge tools tackle today's threats | CSO
- graphistry.com
- Intelligence Advanced Research Projects Activity (IARPA)Is Trying Keep Adversaries From Corrupting AI Tools ... Could cyber adversaries be training the government’s artificial intelligence tools to fail? | Jack Corrigan - Nextgov
- TrojAI - Office of the Director of National Intelligence Office: Intelligence Advanced Research Projects Activity FedBizOpps.gov predict whether AI systems have been corrupted through so-called “Trojan attacks.”
- Adversarial Attacks on Graph Convolutional Network (GCN), Graph Neural Networks (Graph Nets), Geometric Deep Learning
- Breaking Down the Tencent 2018 Cybersecurity Report
- Chronicle combines all the best parts of Google and X culture
- Fraud and Anomaly Detection | Chris Nicholson - A.I. Wiki pathmind
- The Cyber Security Evaluation Tool (CSET®) | National Cybersecurity and Communications Integration Center ...provides a systematic, disciplined, and repeatable approach for evaluating an organization’s security posture
- Watch me Build a Cybersecurity Startup | Siraj Raval
Fraud Detection
- Introduction to Fraud Detection Systems | Miguel Gonzalez-Fierro, Microsoft
- AI for Health Insurance Fraud Detection – Current Applications | Niccolo Mejia
Data Center Security