Data Science in Cybersecurity and Cyberthreat Intelligence is popular PDF and ePub book, written by Leslie F. Sikos in 2020-02-05, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Data Science in Cybersecurity and Cyberthreat Intelligence can be Read Online from any device for your convenience.
Data Science in Cybersecurity and Cyberthreat Intelligence Book PDF Summary
This book presents a collection of state-of-the-art approaches to utilizing machine learning, formal knowledge bases and rule sets, and semantic reasoning to detect attacks on communication networks, including IoT infrastructures, to automate malicious code detection, to efficiently predict cyberattacks in enterprises, to identify malicious URLs and DGA-generated domain names, and to improve the security of mHealth wearables. This book details how analyzing the likelihood of vulnerability exploitation using machine learning classifiers can offer an alternative to traditional penetration testing solutions. In addition, the book describes a range of techniques that support data aggregation and data fusion to automate data-driven analytics in cyberthreat intelligence, allowing complex and previously unknown cyberthreats to be identified and classified, and countermeasures to be incorporated in novel incident response and intrusion detection mechanisms.
Detail Book of Data Science in Cybersecurity and Cyberthreat Intelligence PDF
- Author : Leslie F. Sikos
- Release : 05 February 2020
- Publisher : Springer Nature
- ISBN : 9783030387884
- Genre : Computers
- Total Page : 140 pages
- Language : English
- PDF File Size : 19,9 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Data Science in Cybersecurity and Cyberthreat Intelligence by Leslie F. Sikos, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.
