Jason Trost
13 SlideShares 57 Seguidores 12 Seguindos
Personal Information
Organização/Local de trabalho
Greater Atlanta Area, GA United States
Cargo
Director of Security Data Engineering at Capital One
Site
www.covert.io
Sobre
Specialties: Software Engineering, Network Security, Java Development, Linux Administration, Network Analysis, Network and Security Research, Cloud Computing, Hadoop/MapReduce, Certified Ethical Hacker, Cloudera Certified Hadoop Developer, Large scale data processing and analytics development using Accumulo, Hadoop, and Mapreduce
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Marcadores
threat intelligence security threatstream honeypot supply chain honeynet network security malware anomali ids honeypots hacking sensors credential exposure vulnerability hacked bsidesnyc 2016 bsidesnyc malware sandbox flocon 2016 contextualization sandboxes adversary mhn flocon 2015 intrusion detection open source intrusion network data analysis hadoop apache hadoop big data dns flocon storm machine learning
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Apresentações

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Accumulo Nutch/GORA, Storm, and Pig

Há 11 anos • 1799 Visualizações

Clairvoyant Squirrel: Large Scale Malicious Domain Classification

Há 11 anos • 5742 Visualizações

BinaryPig - Scalable Malware Analytics in Hadoop

Há 10 anos • 3578 Visualizações

Modern Honey Network (MHN)

Há 9 anos • 5316 Visualizações

Modern Honey Network at Bay Area Open Source Security Hackers

Há 9 anos • 2595 Visualizações

Lessons Learned from Building and Running MHN, the World's Largest Crowdsourced Honeynet

Há 8 anos • 4098 Visualizações

Deploying, Managing, and Leveraging Honeypots in the Enterprise using Open Source Tools

Há 8 anos • 12304 Visualizações

An Adversarial View of SaaS Malware Sandboxes

Há 8 anos • 1507 Visualizações

Distributed Sensor Data Contextualization for Threat Intelligence Analysis

Há 8 anos • 1422 Visualizações

BSidesNYC 2016 - An Adversarial View of SaaS Malware Sandboxes

Há 8 anos • 1828 Visualizações

SANS CTI Summit 2016 Borderless Threat Intelligence

Há 8 anos • 2767 Visualizações

R-CISC Summit 2016 Borderless Threat Intelligence

Há 7 anos • 20551 Visualizações

Anomali Detect 2016 - Borderless Threat Intelligence

Há 7 anos • 940 Visualizações

Gostaram

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SANSFIRE - Elections, Deceptions and Political Breaches

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The Industrial Revolution of Lateral Movement

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Machine Learning Model Bakeoff

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Scalable Spark deployment using Kubernetes

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Sandbox detection: leak, abuse, test - Hacktivity 2015

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From SIEM to SA: The Path Forward

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That Ain't You: Detecting Spearphishing Through Behavioral Modelling

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Examining Malware with Python

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ShmooCon 2015: No Budget Threat Intelligence - Tracking Malware Campaigns on the Cheap

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The Impala Cookbook

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Security Operations, Engineering, and Intelligence Integration through the power of Graph(DB)!

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Apache Kafka 0.8 basic training - Verisign

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Apache Storm 0.9 basic training - Verisign

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How to Interview a Data Scientist

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The Heatmap
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Summingbird: Streaming Portable, MapReduce

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Recent Developments in Spark MLlib and Beyond

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Cisco OpenSOC

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Infrastructure at Scale: Apache Kafka, Twitter Storm & Elastic Search (ARC303) | AWS re:Invent 2013

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ruxc0n 2012

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ruxc0n 2012

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Hortonworks: Agile Analytics Applications

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Culture

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Personal Information
Organização/Local de trabalho
Greater Atlanta Area, GA United States
Cargo
Director of Security Data Engineering at Capital One
Site
www.covert.io
Sobre
Specialties: Software Engineering, Network Security, Java Development, Linux Administration, Network Analysis, Network and Security Research, Cloud Computing, Hadoop/MapReduce, Certified Ethical Hacker, Cloudera Certified Hadoop Developer, Large scale data processing and analytics development using Accumulo, Hadoop, and Mapreduce
Marcadores
threat intelligence security threatstream honeypot supply chain honeynet network security malware anomali ids honeypots hacking sensors credential exposure vulnerability hacked bsidesnyc 2016 bsidesnyc malware sandbox flocon 2016 contextualization sandboxes adversary mhn flocon 2015 intrusion detection open source intrusion network data analysis hadoop apache hadoop big data dns flocon storm machine learning
Ver mais