Sign up to save your podcasts
Or
Share Privacy, Security And Forensics in The Internet of Things (IoT)
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Privacy, Security And Forensics in The Internet of Things (IoT)
This summary is talking about the Book "Privacy, Security And Forensics in The Internet of Things (IoT)".
The provided texts explore the challenges and opportunities presented by the intersection of the Internet of Things (IoT) and cybersecurity. The first text focuses on the growing use of IoT devices and examines the impact of this trend on privacy and security, emphasizing the need for robust security measures. The second text explores how the COVID-19 pandemic has accelerated the adoption of IoT technologies, highlighting the importance of responsible data management and the role of regulations such as the General Data Protection Regulation (GDPR). The third text delves into the specific challenges of securing industrial control systems (ICS), which are increasingly interconnected with the IoT. The fourth text examines the use of cryptocurrencies in investigations, providing practical guidance for tracing cryptocurrency transactions and identifying those behind illicit activities. Finally, the last text investigates the effectiveness of machine learning algorithms in classifying malicious websites, highlighting their potential as a tool for improving online safety.
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/Privacy_-Security-And-Forensics-in-The-Internet-of-Things-_IoT_/dp/3030912175?&linkCode=ll1&tag=cvthunderx-20&linkId=a07a33c0a37050a6547a8129857d37d3&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
The provided texts explore the challenges and opportunities presented by the intersection of the Internet of Things (IoT) and cybersecurity. The first text focuses on the growing use of IoT devices and examines the impact of this trend on privacy and security, emphasizing the need for robust security measures. The second text explores how the COVID-19 pandemic has accelerated the adoption of IoT technologies, highlighting the importance of responsible data management and the role of regulations such as the General Data Protection Regulation (GDPR). The third text delves into the specific challenges of securing industrial control systems (ICS), which are increasingly interconnected with the IoT. The fourth text examines the use of cryptocurrencies in investigations, providing practical guidance for tracing cryptocurrency transactions and identifying those behind illicit activities. Finally, the last text investigates the effectiveness of machine learning algorithms in classifying malicious websites, highlighting their potential as a tool for improving online safety.
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/Privacy_-Security-And-Forensics-in-The-Internet-of-Things-_IoT_/dp/3030912175?&linkCode=ll1&tag=cvthunderx-20&linkId=a07a33c0a37050a6547a8129857d37d3&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
This summary is talking about the Book "Privacy, Security And Forensics in The Internet of Things (IoT)".
The provided texts explore the challenges and opportunities presented by the intersection of the Internet of Things (IoT) and cybersecurity. The first text focuses on the growing use of IoT devices and examines the impact of this trend on privacy and security, emphasizing the need for robust security measures. The second text explores how the COVID-19 pandemic has accelerated the adoption of IoT technologies, highlighting the importance of responsible data management and the role of regulations such as the General Data Protection Regulation (GDPR). The third text delves into the specific challenges of securing industrial control systems (ICS), which are increasingly interconnected with the IoT. The fourth text examines the use of cryptocurrencies in investigations, providing practical guidance for tracing cryptocurrency transactions and identifying those behind illicit activities. Finally, the last text investigates the effectiveness of machine learning algorithms in classifying malicious websites, highlighting their potential as a tool for improving online safety.
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/Privacy_-Security-And-Forensics-in-The-Internet-of-Things-_IoT_/dp/3030912175?&linkCode=ll1&tag=cvthunderx-20&linkId=a07a33c0a37050a6547a8129857d37d3&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
The provided texts explore the challenges and opportunities presented by the intersection of the Internet of Things (IoT) and cybersecurity. The first text focuses on the growing use of IoT devices and examines the impact of this trend on privacy and security, emphasizing the need for robust security measures. The second text explores how the COVID-19 pandemic has accelerated the adoption of IoT technologies, highlighting the importance of responsible data management and the role of regulations such as the General Data Protection Regulation (GDPR). The third text delves into the specific challenges of securing industrial control systems (ICS), which are increasingly interconnected with the IoT. The fourth text examines the use of cryptocurrencies in investigations, providing practical guidance for tracing cryptocurrency transactions and identifying those behind illicit activities. Finally, the last text investigates the effectiveness of machine learning algorithms in classifying malicious websites, highlighting their potential as a tool for improving online safety.
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/Privacy_-Security-And-Forensics-in-The-Internet-of-Things-_IoT_/dp/3030912175?&linkCode=ll1&tag=cvthunderx-20&linkId=a07a33c0a37050a6547a8129857d37d3&language=en_US&ref_=as_li_ss_tl
Discover our free courses in tech and cybersecurity, Start learning today:
https://linktr.ee/cybercode_academy
More shows like CyberSecurity Summary
View all
The Joe Rogan Experience
228,737 Listeners
Hidden Brain
43,588 Listeners
Hacked
188 Listeners
Security Now (Audio)
2,010 Listeners
Defensive Security Podcast - Malware, Hacking, Cyber Security & Infosec
372 Listeners
LINUX Unplugged
268 Listeners
SANS Internet Stormcenter Daily Cyber Security Podcast (Stormcast)
652 Listeners
CyberWire Daily
1,024 Listeners
Smashing Security
319 Listeners
Click Here
418 Listeners
Darknet Diaries
8,052 Listeners
Cybersecurity Today
181 Listeners
Hacking Humans
314 Listeners
Think Fast Talk Smart: Communication Techniques
796 Listeners
Cyber Security Headlines
140 Listeners