malwareDetector 0.1.4

Malware detector specification for NTUST isLab

malwareDetector

• Source code: https://github.com/louiskyee/malwareDetector.git
• Wiki: https://github.com/louiskyee/malwareDetector/wiki
• PyPI: https://pypi.org/project/malwareDetector/

Description

This is a malware detector specification for NTUST isLab. The malwareDetector is a base class designed for malicious software detection. It enables straightforward utilization of Python's inheritance feature. By inheriting from malwareDetector and implementing the required functions, you can achieve your specific goals. Additionally, it offers convenient configuration management. For more detailed instructions, please refer to the GitHub Wiki.

Requirements

Tool	Version	Source
Python	>= 3.10	https://www.python.org/downloads

Installation

Use the package manager pip to install malwareDetector.

• Example: pip install malwareDetector

Usage

import

• import class detector from malwareDetector.detector

  from malwareDetector.detector import detector
  

Examples:

from malwareDetector.detector import detector
from typing import Any
import numpy as np

class subDetector(detector):
    def __init__(self) -> None:
            super().__init__()

    def extractFeature(self) -> Any:
        return 'This is the implementation of the extractFeature function from the derived class.'

    def vectorize(self) -> np.array:
        return 'This is the implementation of the vectorize function from the derived class.'

    def model(self) -> Any:
        return 'This is the implementation of the model function from the derived class.'

    def predict(self) -> np.array:
        return 'This is the implementation of the predict function from the derived class.'