5 Ways to Improve Your Internet Data Security

Whether your internet network serves your home devices, your home office, or a small to medium business, internet data security is always an ongoing concern. The threat of cyber-attacks, hackers, and other malicious actors continues to increase as more and more of our business and personal financial lives are conducted over the internet on connective devices and in the cloud.


Here are some basic common sense ways to improve your personal and business data security’s exposure over the internet.

1. Construct a Secure Data Infrastructure

We often focus on perimeter security to the extent that our system’s overall infrastructure security suffers. Many times the vast majority of security budgeting and planning goes into firewall protection. There are multiple ways that a firewall can be penetrated or defeated by persons with access to system information and weaknesses. Firewalls are very important but are just the beginning of comprehensive data security.

Layered security systems are important for defeating hackers and cyber attacks. Every device on your network should be running fully updated operating systems and using applications that are updated with all available security patches. It is essential that you have operating systems, applications, and programs that automatically update or that you manually check for updates regularly. Internal devices should all also have filtering and antivirus software installed and operating properly. Depending on the size and scope of the data that you are protecting, investing in intrusion/attack detection and continuous monitoring software may also be useful for cost-effective and efficient data infrastructure security.

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2. Make Sure All Users On Your Network Are Educated On Data Security Risks

Whether you have local family users on your personal network or have co-workers and employees accessing data and network resources locally or remotely, it is critical that every person on your network understands and uses best security practices.

No one should ever click on links in any form of messaging from unknown and untrusted sources, whether inside emails, texts, or instant messages. All users should log off all applications properly when finished using them, and credentials should not be saved on operating systems or inside programs. Implementing dual authorization of any financial transactions, which requires your additional authorization, also adds an extra layer of protection.

3. Pay Attention To Your Privacy Settings

Your social networking applications contain vast amounts of personal information about all aspects of your online activities. If you ignore privacy settings on any of the platforms that you use, the default settings likely provide visibility over the internet that would shock you. For every platform and application that you use you should carefully check the privacy settings. You should understand the settings and select what you want to share with anyone, only with contacts or friends, or with no one at all.

In addition to social networks, you should understand how your private information might be visible on online storage services. Unless you understand the privacy settings on Google Docs, you should not use it to store sensitive personal information. If you are using Dropbox for storing sensitive data you should understand how to use encryption to archive your information.

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4. Be Smart With Passwords and Keep Your Contact Info Secure

Weak passwords are much more vulnerable than in previous times, as hacking techniques and methods become more advanced. Use complex and lengthy passwords in every use that requires password security. Go for 12 or more characters and include a mixture of capitals and lowercase letters, numbers, and special symbols. Use a different password for every service or application in the event that a single password is compromised somehow. In order to keep your passwords securely stored and accessible to you only, look for a quality password manager program.

If you share your primary email address or phone number with any online application or website, you are inviting an unlimited number of spam emails, text messages, and telemarketing calls by voluntarily placing your contact information on marketing lists that are sold all around the world. If you need to sign up for an unknown service, use an alternate email address or even an alternate phone number. If you decide later that the resource is trusted and you want to use your primary contact information, you can update as needed.

5. Use End-To-End Encryption With All Messaging Apps

There are many messaging apps in use today, with more being developed all the time. Modern messaging is quickly supplanting email, text messaging, and voice calling as the go-to way to communicate with family, friends, and even for business purposes. Most messaging apps use encryption, although the default method is “in transit” encryption. This encryption is deciphered by the app provider and messages are stored on their servers. If those servers are compromised in any way, your data is exposed. By choosing end-to-end encryption only you and your end-user will be able to see the information you share. Be sure to determine if your messaging app uses end-to-end encryption by default or if it can be selected for specific or all conversations.

7 Types Of Apps That Can Be Built Using Python in 2019

Apps To answer one of the most frequently asked questions “What Python” simple words – Python is object-oriented, interpreted, and robust high-level programming languages in 2019. It has incredible built-in data structures, combined with dynamic typing and binding to create a hassle-free application development. It poses as a scripting or glue language to combine several components together.Python

Python is famous for its simple and easy-to-learn syntax that supports reading and reduce the costs incurred in the maintenance program. It also favors modules and packages, which again promotes modularity and code reusability. To add another jewel to the crown, it was favors cross-platform, making Python is ideal for mobile application development.

Now, just to say that Python is a popular language will not be enough. So, let us look at its features that play an important role in spreading the popularity like wildfire.

Why Python a top Mobile App Development Programming Language

  • Python code is easy to read and understand

One of the most notable features of Python is the syntax. Syntax rules allow developers to express the concept without writing additional code. Python has a way of making complex things simple; reason why it is deemed suitable for beginners to learn.

Python is the only language to focus on the code reading, which is why it allows developers to utilize English words rather than punctuation. All these factors make Python is perfect for custom applications mobile applications. In addition, a clear code base will help developers maintain and update the software without any extra effort.

  • Python is Fast

Python, the program added to the interpreter that runs directly. This means no compilation, which happens to almost every other language. In Python code, it is easy and quick to get your hands on feedback on the Python code you like to admit mistakes. In Python, you can finalize and implement your programs (run them) faster than with other programming languages.

  • Python is compatible

There are many operating systems such as Android, iOS and Windows that supports Python. In fact, you can use the Python interpreter to use and run the code across platforms and devices. It is also possible to run the same code on multiple platforms and application code be changed without the need for recompilation. Additionally, if you want to check the impact of the changes made in the code and it also directly, then Python is your final choice.

  • Facilitating Test-Driven Development

Creating prototypes of software applications has never been easier. All thanks to the development of Python applications. Python fully supports the development of prototypes and even allows you to build applications directly from the prototype by refactoring the code.

  • Strong Standard Library

Python has a strong enough standard libraries that provide advantages over other languages. Python standard library module allows you to choose from a variety to suit your needs. Now, each module

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  • Django

Django is a high-level Python framework and the current open-source Web App Development by providing access to different features. It was perfect because it allows developers to create complex code and Python web applications efficacious.

Some of the features that make Django one of the top frameworks for Python are an authentication mechanism, implementing ORM database schema migration for mapping objects to database tables and template engine

  • Flask

Another very powerful Python framework is Flask, developed in WERKZEUG- and Jinja 2. It is denoted as microframework because it does not require tools and libraries such as other frameworks. Due to its features such as integrated support for unit testing, quiet demand delivery, etc. it is considered an ideal choice for small projects, as opposed to Django used in the development of major projects.

  • web2py

Web2py is one of the most popular frameworks from Python for mobile application development, equipped with a debugger and deployment tools. It helps developers to build code debugging and effectively together with application testing.

Because web2py is a cross-platform framework, it is compatible with Mac, Windows, Linux, Android, etc. follow the design of the Model View Controller. One of the elements that impress the most developers are frameworks ticketing, a component that issued the ticket each time an error occurs.

  • Pyramid

Pyramid is a Python framework that is extremely adaptable to the development of applications that work very well for simple and complex applications from Python. This is useful in creating a prototype application and developers to chip away at API projects.

The majority of Python developers simply admire this framework for transparency and its high quality features. One other feature worth mentioning is the transversal frame pyramid was used for mapping the URL for coding, making it easier to create a RESTful API. In fact, some of the technology industry giants such as Mozilla, Dropbox, and Yelp have used it in their processes.

  • Cherrypy

Another Python application development framework is CherryPy. An open source framework is able to embed their own servers its multi-tense. This framework has features such as template setup, thread-pooled web server, and the module frame.

In addition, do not require you to use an ORM or specific templates and specific machines. In fact, it allows developers to utilize different technologies to access data, templates and more, making it a preferred choice of developers to build applications in python.

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What Type of Apps Can You Develop with Python?

  • Application Blockchain

Blockchain, becoming one of the hottest trends this decade in technology has swept the market of its feet. From a developer point of view, the Blockchain development not as easy as shelling peas. However, Python has really made it so. Because Python is a very understandable language, the process of building applications blockchain much facilitated.

By using such Python framework like Flask, developers can use HTTP request blockchain to interact with them via the Internet and create the end point for the different functions of blockchain. Developers are also able to run scripts on multiple machines to develop a decentralized network – all with the help of Python.

  • Command-line application

Command-line applications and Application Console is the same. A computer program was created to be used from the command line or shell and does not have a graphical user interface.

Python is considered a language suitable for such applications because of features that Read-Eval-Print-Loop (REPL) that allows developers to evaluate the language and identify new possibilities.

Since Python is a popular language globally, Top Mobile App Development Companies have access to a sea of ​​free Python library that they can use to build a command-line application.

  • Audio and Video Applications

Python application development helps in creating music, and other types of audio and video applications. Since the internet is loaded with audio and video content, you can use Python to analyze all of it. Some Python libraries such as OpenCV and PyDub assist in successful completion of development assistance in the application.

YouTube is one such application created using Python. Therefore, you can easily guess now how extraordinarily effective and this language is to provide high-performance applications.

  • Game App Development

For all fans of the game, many games like EVE Online and Battlefield 2 was created using Python. Battlefield 2 game employs its Python for all add-ons and functionality and the World of Tanks game use it for the majority of its features. In fact, Disney Pirates of the Caribbean game was written with the help of Panda 3D game engine – the game development language is Python.

Developers are given the facility to create a prototype game quickly and Pygame and Python can be used to test them in real-time. Moreover, Python in the development of the game can be used to make game designing tools that aid in many tasks of the development process, ie, creating a dialog trees and level designing.

  • Application Administration System

We know how tedious administrative system could be, considering there are thousands of tasks to be completed and the oceans of data to be managed. Administration System application is a lifesaver for management, to say the least.

Python is considered suitable to make the system administration application to allow developers to easily communicate with the operating system via the OS modules. This allows developers to interface with the Python OS is currently running. This language makes accessible all IO operations that include simple read and write to the file system.

  • Machine Learning Apps

Another technology trend of this decade should inspire is Machine Learning Development. Machine learning algorithm is a technology that feeds data to the operating system and allows them to make intelligent decisions. Prior to making the application of machine learning is a complicated task, but now we have Python applications for machine learning.

Python comes loaded with a library like Panda and Scikit learning machines available on the market free and can be used under the GNU license.

NLP (Natural Language Processing) is one of the branches of learning engine that enables the system to analyze, manipulate, and understand human language for the algorithm to work.