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Advanced Cybersecurity with Python

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  • Advanced Cybersecurity with Python

Course Description

This course will teach students how to apply advanced Python programming

techniques to various cybersecurity scenarios, such as network security, cryptography, and malware

analysis. Through a combination of lectures, hands-on labs, and group projects, students will gain practical

experience in using Python to solve complex cybersecurity challenges.

Course Objectives:

  • Understand advanced Python programming concepts and techniques
  • Apply Python to network security challenges, such as packet sniffing and traffic analysis
  • Utilize Python to create and analyze cryptographic algorithms
  • Use Python to analyze and reverse engineer malware
  • Develop Python scripts to automate common cybersecurity tasks
  • Understand the basics of web application security and how to use Python to perform vulnerability assessments
  • Develop effective defensive strategies against common cyber attacks
  • Gain practical experience in cybersecurity through group projects and lab activities

Course Outcomes

By the end of this course, students will be able to:

  • Demonstrate proficiency in advanced Python programming techniques
  • Use Python to implement a variety of network security and cryptographic algorithms
  • Analyze malware using Python and reverse engineering techniques
  • Develop Python scripts to automate common cybersecurity tasks
  • Understand the basics of web application security and perform vulnerability assessments using Python
  • Develop effective defensive strategies against common cyber attacks

Course Outline:

Module 1: Advanced Python Programming

  • Object-oriented programming in Python
  • Advanced data structures
  • Multithreading and concurrency
  • Debugging and profiling

Module 2: Network Security with Python

  • Introduction to network security
  • Packet sniffing and traffic analysis
  • Port scanning and OS fingerprinting
  • Mitigating network attacks using Python

Module 3: Cryptography with Python

  • Cryptographic primitives
  • Symmetric and asymmetric encryption
  • Digital signatures and message authentication codes
  • Cryptographic libraries in Python

Module 4: Malware Analysis with Python

  • Types of malware and their characteristics
  • Static and dynamic malware analysis
  • Using Python for malware analysis
  • Malware detection and prevention techniques

Module 5: Automating Cybersecurity Tasks with Python Scripting in Python

  • Task automation using Python
  • Web scraping with Python
  • Reporting and logging in Python

Module 6: Web Application Security with Python

  • Understanding web application security
  • Common web vulnerabilities
  • Performing web application assessments with Python
  • Web application security frameworks in Python

Module 7: Defensive Strategies against Cyber Attacks

  • Incident response planning and execution
  • Intrusion detection and prevention
  • Threat intelligence and threat hunting
  • Deception techniques

Lab Activities:

  • Lab Activity 1: Packet Sniffing with Python
  • Lab Activity 2:Network Traffic Analysis with Python
  • Lab Activity 3:Port Scanning with Python
  • Lab Activity 4:Network Attack Mitigation with Python
  • Lab Activity 5: Implementing Cryptographic Algorithms with Python
  • Lab Activity 6: Encrypting and Decrypting Data with Python
  • Lab Activity 7: Generating Digital Signatures and Message Authentication Codes with Python
  • Lab Activity 8: Analyzing Malware with Python
  • Lab Activity 9: Detecting Malware with Python
  • Lab Activity 10: Preventing Malware with Python
  • Lab Activity 11: Scripting in Python for Cybersecurity
  • Lab Activity 12:Task Automation with Python
  • Lab Activity 13:Web Scraping with Python for Cybersecurity
  • Lab Activity 14:Reporting and Logging with Python for Cybersecurity
  • Lab Activity 15:Web Application Vulnerability Assessment with Python
  • Lab Activity 16: Exploiting Web Application Vulnerabilities with Python
  • Lab Activity 17: Developing Web Application Security Frameworks with Python
  • Lab Activity 18: Developing Incident Response Plans with Python
  • Lab Activity 19: Intrusion Detection and Prevention with Pythont Response Plans with Python
  • Lab Activity 20:Threat Intelligence and Threat Hunting with Python
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Synergistically evisculate ubiquitous niches whereas holistic resources. Assertively evolve prospective methods of empowerment before diverse web-readiness. Seamlessly incentivize market-driven schemas rather than clicks-and-mortar benefits.

Synergistically evisculate ubiquitous niches whereas holistic resources. Assertively evolve prospective methods of empowerment before diverse web-readiness. Seamlessly incentivize market-driven schemas rather than clicks-and-mortar benefits.

Synergistically evisculate ubiquitous niches whereas holistic resources. Assertively evolve prospective methods of empowerment before diverse web-readiness. Seamlessly incentivize market-driven schemas rather than clicks-and-mortar benefits.