Название: Fraud Prevention, Confidentiality, and Data Security for Modern Businesses
Автор: Arshi Naim, Praveen Kumar Malik, Firasat Zaidi
Издательство: IGI Global
Год: 2023
Страниц: 368
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

The modern business world faces many new challenges in preserving its confidentiality and data from online attackers. Further, it also faces a struggle with preventing fraud. These challenges threaten businesses internally and externally and can cause huge losses. It is essential for business leaders to be up to date on the current fraud prevention, confidentiality, and data security to protect their businesses.

Fraud Prevention, Confidentiality, and Data Security for Modern Businesses provides examples and research on the security challenges, practices, and blueprints for today's data storage and analysis systems to protect against current and emerging attackers in the modern business world. It includes the organizational, strategic, and technological depth to design modern data security practices within any organization.

Python is a more powerful high-level language created by Guido van Rossum, and its language constructs and object-oriented approach aim to help programmers write clear, logical code for small- and large-scale projects. Its design philosophy emphasizes code readability with the use of significant indentation. Python is an object oriented, scripted, and interpreted language for both learning and real-world programming. First in this paper, Python is introduced as a language, and a summary given about Data Science, Machine Learning, and IoT. Then, details are provided about the packages that are popular in the Data Science and Machine Learning communities, such as NumPy, SciPy, TensorFlow, Keras, and Matplotlib. After that, the authors will show the working criteria of Python for building IOT applications. The authors will use different code examples throughout. The learning experience, and executed examples, contained in this paper interactively used Jupyter notebook.

For general-purpose Python is high-level programming language which became popular in the recent times. With this concern Python allows programmer to write the code in fewer lines, just like simple mathematical equation, that is not possible with other languages. The main feature in Python programming is that it supports multiple programming prototypes. Python also provides a large set of extensive standard library. The main lineament of Python are unproblematic and easy to understand, freeware and open source, high level programming language, platform independent, portability, and dynamically typed. Both are procedure oriented and object oriented, interpreted, extensible, embedded, and have an extensive library. What we want to include in our programs/projects, a Python library, is a reusable chunk of code. If you compare it to languages like C++ or C, Python libraries do not pertain to any specific context in Python. The Python library contains built-in modules (written in C) and it provide access to system functionality such as file I/O that would otherwise be inaccessible to Python programmers, as well as modules written in Python that provide standardized solutions for many problems that occur in everyday programming. In this article we are trying to give some basic idea about Python in the field of Data science, IOT and Machine learning. Python is known to have a copiousness of libraries that aided with data analysis and scientific computing and informatics.

Covering topics such as confidential communication, information security management, and social engineering, this premier reference source is an indispensable resource for business executives and leaders, entrepreneurs, IT managers, security specialists, students and educators of higher education, librarians, researchers, and academicians.




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