For any industry, certain standards exist that help a particular industry to move the business smoothly while adhering to government policy. Similarly, there are certain standards or structures in cybersecurity that help companies adhere to the security policies that are required to keep operations safe and sound. Standards depend on the type of organization or industry with which the standard is chosen. Security professionals must take care of all requirements that must be met to comply with certain standards. Standards are meant to protect enterprises and organizations and therefore everyone deserving must abide by them. Here in this section, we will look at some of the most important cyber security frameworks that are used frequently.
There are several cyber security frameworks that organizations need to choose based on their needs. Below are some important frameworks that are often used around the world.
NIST is one of the most important structures used to improve critical infrastructure security. Infrastructure security is an important part of any organization. The NIST Framework ensures that some strict policies can protect infrastructure.
PCI DSS stands for Payment Card Industry Data Security Standard. It can be defined as a standard that must be followed by an organization that is willing to accept or process online payments. This value is related to protecting users from online fraud. To comply with these standards, companies must ensure that they handle user-sensitive information very carefully. For example, user card details should not be saved unless needed. Transactions need to be done in safe mode, and such things. This compliance gives users confidence in their organization because their important data is secure.
ISO 270001 is a key standard that falls under the domain of cybersecurity. The company has to follow some basic rules to comply with these standards. For example, when applying for compliance with this standard, the organization's system must be free of vulnerabilities; The organization should create a health report very frequently, have a SOC setup that takes care of the network to prevent user data and similar things.(read more)
Are you looking for the best Android app development frameworks? Get the best Android app development frameworks that help to build the top-notch Android mobile app.
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At the end of 2019, Python is one of the fastest-growing programming languages. More than 10% of developers have opted for Python development.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
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The Size and declared value and its sequence of the object can able to be modified called mutable objects.
Mutable Data Types are list, dict, set, byte array
The Size and declared value and its sequence of the object can able to be modified.
Immutable data types are int, float, complex, String, tuples, bytes, and frozen sets.
id() and type() is used to know the Identity and data type of the object
a**=str(“Hello python world”)****#str**
Numbers are stored in numeric Types. when a number is assigned to a variable, Python creates Number objects.
Python supports 3 types of numeric data.
int (signed integers like 20, 2, 225, etc.)
float (float is used to store floating-point numbers like 9.8, 3.1444, 89.52, etc.)
complex (complex numbers like 8.94j, 4.0 + 7.3j, etc.)
A complex number contains an ordered pair, i.e., a + ib where a and b denote the real and imaginary parts respectively).
The string can be represented as the sequence of characters in the quotation marks. In python, to define strings we can use single, double, or triple quotes.
# String Handling
#single (') Quoted String
# Double (") Quoted String
# triple (‘’') (“”") Quoted String
In python, string handling is a straightforward task, and python provides various built-in functions and operators for representing strings.
The operator “+” is used to concatenate strings and “*” is used to repeat the string.
'Output : Python python ’
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Do you need a high-quality and reliable framework to optimize the process? AppClues Infotech has created a list of top mobile app development frameworks to consider working with in the year 2021.
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It is time to learn new test frameworks in 2021 to improve your code quality and decrease the time of your testing phase. Let’s explore 6 options for devs.
It is time to learn new test frameworks to improve your code quality and decrease the time of your testing phase. I have selected six testing frameworks that sound promising. Some have existed for quite a long time but I have not heard about them before.
At the end of the article, please tell me what you think about them and what your favorite ones are.
Robot Framework is a generic open-source automation framework. It can be used for test automation and robotic process automation (RPA).
Robot Framework is open and extensible and can be integrated with virtually any other tool to create powerful and flexible automation solutions. Being open-source also means that Robot Framework is free to use without licensing costs.
The RoboFramework is a framework** to write test cases and automation processes.** It means that it may replace** your classic combo Selenium + Cucumber + Gherkins**. To be more precise, the Cucumber Gherkins custom implementation you wrote will be handled by RoboFramework and Selenium invoked below.
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