10. Data to Information: NumPy and Pandas
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The document discusses converting data into information using NumPy and Pandas Python libraries. It covers topics like arrays and matrices, different data formats, NumPy operations for linear algebra and math, and Pandas for working with labeled data and performing analyses like sorting, filtering, and correlations. The goal is to understand how to structure and analyze data using these Python tools.
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Open Source Intelligence
Threat hunters collect internal and external data to establish hypotheses about potential threats. They hunt for information to identify real threats and determine an appropriate response. Open source intelligence includes data from social networks, crowd-sourced sites, wikis, and photographs that can provide information about people, organizations, technologies and more. Tools like Google dorking, the Wayback Machine and Shodan allow searching open webpages and networks for intelligence.
2. Defence Systems
The document discusses information security, defense mechanisms, and risks. It outlines concepts like data, information, knowledge and wisdom. It describes kill chain models used to investigate security incidents and defenses that use layers like deterrence, detection, protection, reaction, recovery, and auditing. The document also covers risks, costs, benefits, and harm from physical, economic, psychological and reputational impacts.
1. Cyber and Intelligence
This document discusses cybersecurity, intelligence, and the differences between human and machine intelligence. It provides an overview of cybersecurity job roles and frameworks. It also covers types of intelligence including naturalist, musical, logical-mathematical, existential, and inter-personal. Humans are described as having advantages in areas like creativity, perception, memory, verbal skills, and reasoning compared to current computer capabilities. Motivations for cyberattacks include entertainment, hacktivism, financial gain, spying, and revenge.
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