Defensive Python
Learn Python-based network analysis techniques for cybersecurity, focusing on detecting suspicious connections and implementing defensive measures.
Learn Python-based network analysis techniques for cybersecurity, focusing on detecting suspicious connections and implementing defensive measures.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Advanced Python Scripting for Cybersecurity Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
(26 ratings)
2,007 already enrolled
Instructors:
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What you'll learn
Detect brute-force attacks using Windows Events and Scapy
Implement network traffic analysis for suspicious activity
Develop Python scripts for FTP and SSH attack detection
Create advanced network monitoring solutions
Skills you'll gain
This course includes:
1.8 Hours PreRecorded video
1 quiz
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There is 1 module in this course
This course focuses on using Python for defensive cybersecurity measures, specifically in network analysis and threat detection. Students learn to implement Python scripts for detecting various types of attacks, including brute-force attempts on Windows, FTP, and SSH services. The curriculum covers advanced topics like feature selection for traffic analysis, anomalous network traffic detection, and connection hijacking using the Scapy library.
Defensive Python
Module 1 · 2 Hours to complete
Fee Structure
Instructor
Howard Poston: Versatile Cyber and Blockchain Researcher and Consultant
Howard Poston is a freelance cyber and blockchain researcher, trainer, consultant, and software developer with extensive experience in developing high-quality educational content. He provides security assessments, conducts research, and engages in code development for both academic and industry projects. Specializing in cryptography, blockchain, malware analysis, and cybersecurity, Howard holds a
Testimonials
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4.6 course rating
26 ratings
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