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Advanced Smart Computing Technologies in Cybersecurity and Forensics
Explores various aspects of cybersecurity and digital forensics, emphasizing the role of advanced computing technologies like artificial intelligence, machine learning, deep neural networks, and blockchain. The chapters cover topics such as network intrusion detection systems (NIDS) using Naïve Bayes classification, mobile forensics and the analysis of digital evidence, and cryptography, including DNA-based cryptosystems. Furthermore, the text examines kernel vulnerabilities and their analysis using machine learning algorithms like Random Forest, discusses malware analysis and investigation techniques, and addresses security challenges in IoT environments, particularly lightweight cryptography and fault analysis attacks. The book highlights the evolving landscape of cyber threats and the continuous need for innovative defensive mechanisms.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Advanced-Computing-Technologies-Cybersecurity-Forensics/dp/0367686503?&linkCode=ll1&tag=cvthunderx-20&linkId=11ddb38418a1101fc23d02f8cf909e58&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Advanced-Computing-Technologies-Cybersecurity-Forensics/dp/0367686503?&linkCode=ll1&tag=cvthunderx-20&linkId=11ddb38418a1101fc23d02f8cf909e58&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
View all episodes
By CyberSecurity Summary
2.2
55 ratings
Explores various aspects of cybersecurity and digital forensics, emphasizing the role of advanced computing technologies like artificial intelligence, machine learning, deep neural networks, and blockchain. The chapters cover topics such as network intrusion detection systems (NIDS) using Naïve Bayes classification, mobile forensics and the analysis of digital evidence, and cryptography, including DNA-based cryptosystems. Furthermore, the text examines kernel vulnerabilities and their analysis using machine learning algorithms like Random Forest, discusses malware analysis and investigation techniques, and addresses security challenges in IoT environments, particularly lightweight cryptography and fault analysis attacks. The book highlights the evolving landscape of cyber threats and the continuous need for innovative defensive mechanisms.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Advanced-Computing-Technologies-Cybersecurity-Forensics/dp/0367686503?&linkCode=ll1&tag=cvthunderx-20&linkId=11ddb38418a1101fc23d02f8cf909e58&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Advanced-Computing-Technologies-Cybersecurity-Forensics/dp/0367686503?&linkCode=ll1&tag=cvthunderx-20&linkId=11ddb38418a1101fc23d02f8cf909e58&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
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