What are the different types of Cyber Attacks?

Our life has become more comfortable with the usage of various digital devices and the internet. The Internet has come to us with a boon for this fast pacing world. However, there is also a flip side to this. 

Even though the internet is responsible for bringing positive changes in our lives, it also comes with the huge challenge of information security. Hence, cyber-attacks become more frequent. Therefore, it becomes important to understand the nature of those cyber attacks. 

cybersecurity courses

In this article, let’s learn about the nature and types of cyber attacks that might threaten our data and how these attacks can be prevented. You can also learn about a career in cybersecurity by learning the basis of cyber attacks. 

What is a cyber attack? 

To put it in simple words, cyber-attacks are unauthorised network access that harms information security. When an outsider tries to enter your private data, it is called a cyber attack. The person who attacks is called an attacker or a hacker. 

Cyber attacks cause data tampering that result in data manipulation and data loss. On a commercial level, organisations incur several financial losses with customer trust being hampered alongside immense reputational damage. 

This is when the need for implementing cybersecurity comes in. Cyber security helps in safeguarding these networks in the computers and other different components from any unauthorised access. 

Cyber attacks: Why and how do they take place 

Cyber attacks are generally criminally and politically motivated to leak information security. Cyber attacks sometimes are also targeted to bring a feeling of achievement or thrill among the hackers. 

When politically motivated, cyber attacks happen to harm the image of a particular state of government in front of the public. Other pretentious intentions are why cyber attacks take place. Here are some of the reasons why: 

Financial Gain: Cybercriminals launch a maximum of cyber attacks on commercial entities for financial gains. They steal sensitive data like employee personal information and credit card numbers to blackmail the companies and gain money in return. 

Disruption and Revenge: This occurs specifically to show chaos, confusion and mistrust among individuals or commercial entities. Cybercriminals take such actions as an act of revenge against them. They want to publicly embarrass these entities and damage the reputation of the organisation. 

Cyber Warfare: This occurs as a basis of international threats by different government entities around the world. Cyber Warfare is a tactic that executes attacks against other countries based on ongoing political, economical and social scenarios. 

Types of cyber attacks

With the evolving technology, cyber-attacks are now not that simple. There are now different types of cyber-attacks that have evolved through time that can threaten your data. Let’s read those.

Malware attacks: These are one of the most common types of cyberattacks. Malware is conferred to malicious viruses like ransomware, trojans, worms and spyware. Malware disguises itself as legitimate software and breaches the network by breaking its weak firewall. 

Phishing attacks: This is one of the most popular types of cyber attacks in this decade. This is a special attack done by social engineers where hacker impersonates themselves as a trusted contract and sends fake emails. Through these attacks, the attackers access some or all confidential data and other account details and even install malware. 

Password attack: In this type of attack, the hacker tends to crack the victim’s password by incorporating various tools like Hashcat, John the Ripper and Cain. Password attacks are mainly characterised by brute force attacks, dictionary attacks and keylogger attacks. 

Man-in-the-middle attack: A man-in-the-middle attack or MITM is an eavesdropping attack. The attack takes place when the attacker attacks among two-party communications where the attacker hijacks the session between the host and the client. 

SQL injection attack: An SQL attack or a Structured Query Language injection cyber attack occurs on a website specifically a data-driven website when the attacker modulates a query of the SQL. Malicious code is injected through a vulnerable website search box, enclosing private and crucial information on the server. 

Denial of service attack: This is a significant threat to commercial entities. In this scenario, the attackers target different systems and servers and often flood them with traffic. It tends to exhaust the resource of the system as well as its bandwidth. This results in overburdening the servers with several requests making the websites slow or shit down. 

Insider threat attacks: In this case, the individual within an organisation hacks the server. These threats are subjected to tremendous damage. These threats are very rampant in small businesses. 

Cryptojacking: This is closely related to cryptocurrency. These take place when attackers access the victim’s computer to mine cryptocurrency. They infect the website or manipulate the victim to click on a malicious link. Hackers tend to use JavaScript code for this. 

Zero-day exploit: This happens during the announcement of network vulnerability and there is no solution to vulnerability in certain instances. The vendors notify the victims of the vulnerabilities making the user aware. 

Watering hole attack: In this case, a particular group of an organisation is attacked via the targeted websites used in this targeted group. They are either identified closely by group or via guessing. The malware then spreads by the hackers infecting the systems and thereby targeting the attacker’s personal information. 

How to curb cyber-attacks? 

Cyber attacks are now very common not only in commercial entities but also in individuals. Hence, cyber security specialists are constantly developing new methods to curb these threats to ensure user safety. Here are some ways one can curb cyber attacks if they are seeking a career in cyber security

  • Changing the passwords regularly and using passwords with strong alphanumeric values. Try not to keep the same password twice. 
  • Updating the operating systems and applications regularly to ensure primary prevention from cyber attacks. This would help in eliminating vulnerabilities that hackers often tend to exploit. 
  • Use different types of firewalls and other network security tools with intrusion prevention systems.
  • Use a VPN frequently to ensure data safety. VPN helps to encrypt the traffic between the server and the device.
  • Securing the WiFi networks and avoiding using WiFi networks without a secure VPN. 

Conclusion

The concept of cybersecurity is not brand new. It has been evolving for quite some time. Hence, cyber security experts are now coming up with new ways to curb cyber attacks. 

If you are interested in pursuing a career in cyber security, check out Imarticus Learning’s Advanced Cyber Security Course from IIT Roorkee. IIT cyber security courses offer extensive courses and change the path of learning. IIT cyber security course is a hybrid learning course which is easier for even working professionals to pursue this course without any issues. 

To know more, check out their website right away! 

Python in Data Science: Real World Applications (Spotify, Netflix, Uber etc.)

Talk of the leading global tech companies and you will see they use Python programming as an integral part of their technology stack. Created in 1991, Python has become one of the most popular programming languages worldwide. The simplicity, shorter learning curve, reduced development time and effortless coding experience has made Python a coveted choice with many developers. 

Let us see how Python is used in Data Science projects and web development along with some real-world applications. 

Using Python in Data Science projects and web development

The universal, high-level programming language, Python is used extensively in various web development and Data Science projects. 

  • Web development

Flask and Django are Python frameworks, which are famous for web development. Python also has extensive modules and libraries, which speed up development time considerably. 

  • Web scraping applications 

Python facilitates extracting huge volumes of data quickly from sources for price comparisons, research and development and email address gathering. With the logistic regression classification technique, Python solves classification problems. The simple-to-code programming language has a lucid syntax and a great collection of useful libraries like Pandas, Numpy and Matlplotlib. 

  • Data Science

Python helps in quickly analysing and manipulating data. The programming language has graphing libraries which support data visualisation. Moreover, you will find a vibrant and active Python Data Science community. 

  • Game development

Python libraries like Pygame are great for building games and prototypes. Popular games like Battlefield 2, EVE Online and World of Tanks are built with Python. 

  • Python application development

Since Python is a general-purpose language, it is used for developing desktop GUIs, file directories and APIs. 

Real-world applications of Python programming

There are thousands of Python websites and apps running on the internet successfully. Let us take a look at some of the real-world applications using Python. 

Uber

Uber, the well-known mobility-as-a-service company, had doubts about choosing between Ruby and Python while selecting a programming language. They chose Python for the backend and frontend functions. 

The Uber platform needs to make many calculations. Uber’s backend predicts traffic, demand and supply, arrival times, approximate reaching time to the destination, etc. Python is also great for mathematical calculations at big data levels. 

Reddit

Do you know the internet’s popular source of cat videos or dank memes? You guessed it right – Reddit. Self-acclaimed ‘internet’s front page’, Reddit is also a great source of community interactions. 

Reddit uses Python as the programming language because of its easy readability and writeability. Moreover, Python has diverse arrays of ready-to-use libraries. Along with Python, Reddit also uses Javascript and Go. 

Spotify

As a music enthusiast, you do not need to go anywhere else other than Spotify to listen to the kind of music that you love. Spotify has developed as a huge podcast and music streaming platform with more than 489 million active users monthly worldwide. 

You don’t need to look for MP3s, torrent links, or other websites to listen to your favourite music. Spotify developers have used Python for building infrastructure to run user forecasts. 

Instagram

Python is the main programming language used in Instagram. There have been many changes in Instagram’s tech stack, but the app wouldn’t be born without Python. Instagram was built using Django, which is a Python web framework. The viral video and image-sharing platform has almost 1.35 billion users globally in 2023, which is expected to reach 1.44 billion by 2025.  

With an increasing number of users, Instagram developers are creating static sort checkers using Python for server investigation. The server has millions of lines of Python code. 

Netflix

Netflix began its business as a DVD-by-mail service. Today it has become a leading video streaming platform with millions of paid subscribers globally. One of the reasons for the popularity of Netflix is its powerful analytics and recommendation engine. The company offers suggestions to users by understanding the kind of content that they watch. The recommendation and analytics engine is based on Python. 

Extremely intuitive, Python programming language helps in solving complicated networking problems. The content lifecycle of Netflix uses Python including security tools and Machine Learning recommendation algorithms. For statistical analysis, developers use Python libraries. Python is also used for automation tasks, data cleaning and exploration and data visualisation

YouTube

YouTube is not only a video-streaming platform on the internet, but it is also the second-largest search engine after Google. YouTube has billions of logged-in users monthly. Along with being a search engine, YouTube is also a popular social media platform. 

YouTube is written exclusively in Python. The interactive experience that users enjoy is due to the various libraries and features of the Python language. The coding of the platform is done in a manner so that the process of downloading, uploading and sharing videos becomes easy. 

Quora

Quora is a question-and-answer platform mainly targeted at professionals who seek answers to various queries on different subjects. Quora has almost 300 million users. Along with sharing answers, professionals also share their experiences on various subjects on Quora. 

Developers of Quora tried using various programming languages for the development of the platform. Python suited them best more so because of the amazing development speed of the programming language. 

Conclusion

Python programming language is a favourite among all leading global technology leaders for its robust, reliable and engineering enterprise-level applications. The majority of websites and apps use Python for their development as the coding is simple and easy. Becoming a Python developer will help in making a great career with a lucrative pay package. 

Imarticus Education offers a Postgraduate Programme in Data Science and Analytics through classroom teaching and live online training modes. You can build your career with this Data Science course with placements. Enhance business outcomes with real-world application of Data Science. 

The course curriculum includes fundamentals and complex concepts of Data Science and Analytics. Certain subjects that the module covers include the basics of Excel for Data Science, SQL programming, Python programming, Statistics for Data Science, Machine Learning, Data Visualization with Power BI and Tableau and many more. 

Enrol for the course right away!