Cyber Security Intelligence and Analytics (Advances in Intelligent Systems and Computing, 928)

About this episode

The episode discusses the integration of big data analytics and machine learning to enhance cyber threat detection and combat cybercrime.

Focuses on integrating big data analytics, machine learning, and intelligent systems to enhance threat detection and combat cybercrime. Key topics include digital forensics, incident response, and the application of computational intelligence across diverse sectors like healthcare, energy, and education. One specific paper details the use of spiral CT image processing to improve surgical accuracy and diagnostic outcomes in urology. Another article examines how data mining technology is transforming economic management by increasing the efficiency and scientific precision of decision-making. Collectively, the documents highlight interdisciplinary technological advances aimed at solving complex modern problems through automated analysis and smarter infrastructure. 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/Security-Intelligence-Analytics-Intelligent-Computing/dp/3030152340?&linkCode=ll2&tag=cvthunderx-20&linkId=0963f937cc60a8c553ec25cc7edb195f&language=en_US&ref_=as_li_ss_tl Discover our free courses in tech and cybersecurity…

People in this episode

Host: CyberSecurity Summary

Topics covered

• big data analytics
• machine learning
• threat detection
• cybercrime
• digital forensics
• incident response
• computational intelligence

Keywords

• cybersecurity
• data mining
• healthcare
• energy
• education
• surgical accuracy
• diagnostic outcomes

Mentioned in this episode

Organizations: Amazon, CyberCode Academy

Products: Security Intelligence and Analytics

Books & works: Advances in Intelligent Systems and Computing

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