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You're reading from  10 Machine Learning Blueprints You Should Know for Cybersecurity

Product typeBook
Published inMay 2023
PublisherPackt
ISBN-139781804619476
Edition1st Edition
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Rajvardhan Oak
Rajvardhan Oak
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Rajvardhan Oak

Rajvardhan Oak is a cybersecurity expert, researcher, and scientist with a focus on machine learning solutions to security issues such as fake news, malware, and botnets. He obtained his bachelor's degree from the University of Pune, India, and his master's degree from the University of California, Berkeley. He has served on the editorial committees of multiple technical conferences and journals. His work has been featured by prominent news outlets such as WIRED magazine and the Daily Mail. In 2022, he received the ISC2 Global Achievement Award for Excellence in Cybersecurity. He is based in the Seattle area and works for Microsoft as an applied scientist in the ads fraud division.
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Malware detection

As the prevalence of malware grows, so does the need for detecting it. Routine system scans and analysis by malware detection algorithms can help users stay safe and keep their systems clean.

Malware detection methods

Malware detection can be divided broadly into three main categories: signature-based, behavioral-based, and heuristic methods. In this section, we will look at what these methods are in short and also discuss techniques for analysis.

Signature-based methods

These methods aim to detect malware by storing a database of known malware examples. All applications are checked against this database to identify whether they are malicious. The algorithm examines each application and calculates a signature using a hash function. In computer security, the hash of a file can be treated as its unique identity. It is nearly impossible to have two files with the same hash unless they are identical. Therefore, this method works really well in detecting known...

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10 Machine Learning Blueprints You Should Know for Cybersecurity
Published in: May 2023Publisher: PacktISBN-13: 9781804619476

Author (1)

author image
Rajvardhan Oak

Rajvardhan Oak is a cybersecurity expert, researcher, and scientist with a focus on machine learning solutions to security issues such as fake news, malware, and botnets. He obtained his bachelor's degree from the University of Pune, India, and his master's degree from the University of California, Berkeley. He has served on the editorial committees of multiple technical conferences and journals. His work has been featured by prominent news outlets such as WIRED magazine and the Daily Mail. In 2022, he received the ISC2 Global Achievement Award for Excellence in Cybersecurity. He is based in the Seattle area and works for Microsoft as an applied scientist in the ads fraud division.
Read more about Rajvardhan Oak