The Crypto Launderers (Wiley)
Friday, 26 January 2024

Subtitled "Crime and Cryptocurrencies from the Dark Web to DeFi and Beyond", in this book anti-money laundering and counter-terrorist financing expert David Carlisle delivers a breakdown of the impact of crime on the world of Bitcoin and other cryptocurrencies. Tracking the history and evolution of crypto crime from the rise of the Dark Web to the present day, Carlisle recounts how an increasingly complex money laundering ecosystem has taken root in the crypto space.

<ASIN: 1394203195>

He describes how North Korean cyber thieves, Russian hackers, narcotics traffickers, and other illicit actors have moved billions of dollars’ worth of cryptocurrencies through the blockchain, exploiting new technological innovations to profit from their crimes.

Author: David Carlisle
Publisher: Wiley
Date: December 2023
Pages: 288
ISBN: 978-1394203192
Print: 1394203195
Kindle: B0CR6YSNBS
Audience: General
Level: Introductory
Category: General interest

 

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner


Foundational Python For Data Science

Author: Kennedy Behrman
Publisher: Pearson
Pages:256
ISBN: 978-0136624356
Print: 0136624359
Kindle: B095Y6G2QV
Audience: Data scientists
Rating: 4.5
Reviewer: Kay Ewbank

This book sets out to be a simple introduction to Python, specifically how to use it to work with data.



TinyML: Machine Learning with TensorFlow Lite

Authors: Pete Warden and Daniel Situnayake
Publisher: O'Reilly
Date: December 2019
Pages: 504
ISBN: 978-1492052043
Print: 1492052043
Kindle: B082TY3SX7
Audience: Developers interested in machine learning
Rating: 5, but see reservations
Reviewer: Harry Fairhead
Can such small machines really do ML?


More Reviews