Cybersecurity Data Science Projects for Students: Beginner Projects to Learn the Field and Build up Your Resume

By Dr. Emmanuel Tsukerman

Looking to enter the profession but don't know where to start? Projects for Students will help you on the path to ultimately becoming a badass hacker and security expert who knows how to use machine learning to break and secure systems. In this one-of-its-kind workbook, you will be guided on interesting and fun projects that will allow you to display your skills and growing knowledge. The projects are purposefully designed to be at the perfect balance of challenge (i.e., a beginner can complete them with a bit of patience) and interest so that solving them is sure to impress hiring managers, employers and co-workers. The course uses python and tensorflow for deep learning. It is hands on and each project is immersive several-week experience. Students expected to get their hands dirty with malware, neural networks and DeepFakes ✔ Classify and Detect Malware.✔ Catch Network Intruders.✔ Detect Insider Threats.✔ Break CAPTCHAs.✔ Construct an Evolutionary Fuzzer.✔ Construct Adversarial Attacks on Deep Neural Networks.✔ Impersonate Voice.✔ Create DeepFakes.✔ Generate Fake Reviews.

• Format: Paperback
• Language: English
• ISBN: B08FS8NL32
• ISBN13: 9798675962525
• Release Date: August 2020
• Publisher: Independently Published
• Length: 42 Pages
• Weight: 0.35 lbs.
• Dimensions: 0.1" x 8.5" x 11.0"