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1
Introduction
2
Kelly Robinson Introduction
3
Agenda
4
Apache Spark
5
Big Data
6
RDDs
7
DataFrames
8
Performance
9
State of passwords
10
TryHunt
11
Zeppelin
12
Top Passwords
13
Lengths
14
Data visualizations
15
Suffixes
16
Transform Data
17
Password Policies
18
Spark Benefits
19
Spark Challenges
20
Java Stack Traces
21
Big Data Security
22
Security is on everyones mind
23
Nobody security is perfect
24
Users have bad passwords
25
Password reuse
26
Password security
27
Seamless user experience
28
Credential stuffing
29
Wrap up
Description:
Explore the analysis of compromised passwords using Apache Spark in this conference talk from GrrCon 2018. Dive into big data concepts, Resilient Distributed Datasets (RDDs), and DataFrames while examining the current state of password security. Learn about data visualization techniques, password policies, and the benefits and challenges of using Spark for large-scale data processing. Discover insights on common password patterns, lengths, and suffixes, and understand the importance of addressing password reuse and credential stuffing attacks. Gain valuable knowledge on balancing security measures with user experience in the ever-evolving landscape of cybersecurity.

Analyzing Pwned Passwords with Apache Spark

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