The cyber security toolkit, CyberSecTK, is a simple Python library for preprocessing and feature extraction of cyber-security-related data. As the digital universe expands, more and more data need to be processed using automated approaches. In recent years, cyber security professionals have seen ...
SciPy uses a multi-dimensional array given by the NumPy module as its underlying data structure. The array manipulation subroutines in SciPy are based on NumPy. SciPy is a Python library that was designed to work with NumPy arrays while also providing user-friendly and powerful numerical functions...
This repository holds the Python scripts discussed in the Infosec Institute's Python for Cybersecurity Learning Path These scripts are designed to run using Python 3. To use these scripts: # Download repo git clone https://github.com/hposton/python-for-cybersecurity # Enter repo cd python-fo...
Learning the foundations of machine learning and Python could help you stand out in the competitive tech space. Getty Images The fastest growing jobs in the world right now are ones dealing with AI and machine learning. That’s according to the World Economic Forum. This should come at no ...
Master machine learning with Python! Dive into data analysis, build models, and implement algorithms with step-by-step tutorials.
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Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning, Recurrent Neural Network models, MERN web I/O System. To run locally on your system: Method - 1 :- step-1: Keep the Docker Desktop and Docker Hub running parallelly on your sys...
Python libraries with NumPy, Scikit-learn, and CUDA *Understand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimes *Use TensorFlow in the cybersecurity domain and implement real-world examples *Learn how machine learning and Python can be used in complex cyber...
Organizationstodayfaceamajorthreatintermsofcybersecurity,frommaliciousURLstocredentialreuse,andhavingrobustsecuritysystemscanmakeallthedifference.Withthisbook,you'lllearnhowtousePythonlibrariessuchasTensorFlowandscikit-learntoimplementthelatestartificialintelligence(AI)techniquesandhandlechallengesfacedbycybersecurityresearche...
Working toward FedRAMPCompliance with ActiveState A leading AI-powered cybersecurity company sought to expand its market reach into the government sector. To achieve this, they needed to comply with stringent security standards, including FedRAMP and NIST ...