#4041
Mentioned in 12 episodes

The Cuckoo’s Egg

Tracking a Spy Through the Maze of Computer Espionage
Book • 1989
In this book, Clifford Stoll recounts his unexpected adventure as a computer systems manager at the Lawrence Berkeley National Laboratory.

A 75-cent accounting error leads him to discover an unauthorized user on the system, later identified as a hacker named 'Hunter' who was stealing sensitive military information.

Stoll's one-man investigation involves a high-stakes game of deception, broken codes, satellites, and missile bases, eventually gaining the attention of the CIA. The book details the early days of cybersecurity, the challenges of persuading government agencies to cooperate, and the race against time to safeguard sensitive information from falling into the wrong hands.

Mentioned by

Mentioned in 12 episodes

Recommended by
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Jack Rhysider
as a classic hacker story.
243 snips
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Mentioned by
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Chris Benson
as an example of a book whose content could be ingested into a knowledge graph for conversational AI.
69 snips
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Christopher Bailey
as a firsthand account of tracking a spy through computer espionage.
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Steve Gibson
when referencing Bill Cheswick's pioneering work and the early history of honeypots.
43 snips
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Patrick Gray
, referring to Cliff Stoll's famous book about tracking a spy through computer espionage.
32 snips
How the World Got Owned Episode 1: The 1980s
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Helen Patton
as historically relevant and still super important in cybersecurity.
12 snips
The Cyber Canon, ditching the SOC 2, and the weekly enterprise news - Helen Patton - ESW #416
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Matt Coyote
when recalling an early hacking story and recommending it as a classic account of intrusion detection.
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Sally Helm
when introducing
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Cliff Stoll
as the author of the book about computer espionage.
An Astronomer Hunts a KGB Hacker
Mentioned as a first-person account of Stoll's investigation of a hacking campaign carried out by government hackers.
How the classic anime ‘Ghost in the Shell’ predicted the future of cybersecurity 30 years ago
Mentioned by
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Jeffrey Fredrick
in the context of a discussion about the importance of data consistency and the trade-off between having a perfectly correct view versus a useful one.
Learning to Love Inconsistent Data

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