Marwan Omar – författare & böcker

New Threats and Countermeasures in Digital Crime and Cyber Terrorism

AvMaurice Dawson,Marwan Omar

Inbunden, Engelska, 2015

2 457 kr

Skickas inom 5-8 vardagar

New Threats and Countermeasures in Digital Crime and Cyber Terrorism

AvMarwan Omar,Maurice Dawson

E-bok

PDF, 2015

3 006 kr

Läs direkt efter köp

New Threats and Countermeasures in Digital Crime and Cyber Terrorism

AvMarwan Omar,Maurice Dawson

E-bok

2015

3 006 kr

Läs direkt efter köp

Security Solutions for Hyperconnectivity and the Internet of Things

AvMaurice Dawson,Mohamed Eltayebm. fl.

Inbunden, Engelska, 2016

2 818 kr

Skickas inom 5-8 vardagar

Machine Learning for Cybersecurity

Innovative Deep Learning Solutions

AvMarwan Omar

Häftad, Engelska, 2022

619 kr

Skickas inom 10-15 vardagar

This SpringerBrief presents the underlying principles of machine learning and how to deploy various deep learning tools and techniques to tackle and solve certain challenges facing the cybersecurity industry.By implementing innovative deep learning solutions, cybersecurity researchers, students and practitioners can analyze patterns and learn how to prevent cyber-attacks and respond to changing malware behavior. The knowledge and tools introduced in this brief can also assist cybersecurity teams to become more proactive in preventing threats and responding to active attacks in real time. It can reduce the amount of time spent on routine tasks and enable organizations to use their resources more strategically. In short, the knowledge and techniques provided in this brief can help make cybersecurity simpler, more proactive, less expensive and far more effectiveAdvanced-level students in computer science studying machine learning with a cybersecurity focus will find this SpringerBrief useful as a study guide. Researchers and cybersecurity professionals focusing on the application of machine learning tools and techniques to the cybersecurity domain will also want to purchase this SpringerBrief.

Machine Learning for Cybersecurity

Innovative Deep Learning Solutions

AvMarwan Omar

E-bok

Engelska, 2022

815 kr

Läs direkt efter köp

This SpringerBrief presents the underlying principles of machine learning and how to deploy various deep learning tools and techniques to tackle and solve certain challenges facing the cybersecurity industry.By implementing innovative deep learning solutions, cybersecurity researchers, students and practitioners can analyze patterns and learn how to prevent cyber-attacks and respond to changing malware behavior. The knowledge and tools introduced in this brief can also assist cybersecurity teams to become more proactive in preventing threats and responding to active attacks in real time. It can reduce the amount of time spent on routine tasks and enable organizations to use their resources more strategically. In short, the knowledge and techniques provided in this brief can help make cybersecurity simpler, more proactive, less expensive and far more effectiveAdvanced-level students in computer science studying machine learning with a cybersecurity focus will find this SpringerBrief useful as a study guide. Researchers and cybersecurity professionals focusing on the application of machine learning tools and techniques to the cybersecurity domain will also want to purchase this SpringerBrief.