Machine Learning in Cyber Security

  • Published on - Sep 28, 2022
  • 5 mins read
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Machine learning and cyber security are hand-in-hand concepts and cannot be segregated from each other. Today it almost seems impossible to integrate cyber security without machine learning. Machine learning is a subset of AI ( Artificial Intelligence ) and uses previous data and statistics to make predictions. The use of machine learning cybersecurity has been widely increasing because of its ability to identify threats before causing havoc. In the period of humongous data, machine learning seems to be an appropriate solution to dealing with such issues. Machine learning is not a new concept and is used by most of us without having complete knowledge about the same.

How Does Machine Learning Work

Machine learning involves theories regarding the recognition of patterns by computers. However, today it is a more complex concept. Machine learning algorithms have been present for a long time, but their application over vast data for effective results is a recent development. Machine learning is an AI tool used for teaching computers to think like humans. It functions by exploring data and identifying patterns with minimal human interference. Machine learning can see what the human eye misses. Python is a popular programming language used for machine learning. It helps examine larger sets of data and understand their pattern more quickly.

Applications Of Machine Learning In Cyber Security

  • Security

The need of machine learning in cybersecurity is to understand previous attacks and generate accurate responses. Machine learning can be used in multiple domains to enhance security and helps analysts in the quick identification of new attacks. It saves a lot of time and helps in giving faster remedies.

  • Automated Tasks

When it comes down to cyber security vs artificial intelligence, incorporating the latter into the former fastens the tasks. Machine learning can automate tasks like malware analysis, network log analysis, etc. These tasks would not have been possible with human capacity alone.

  • Threat Detection

Artificial intelligence in cyber security is used via algorithms to detect threats. Machine learning operates in such a process that the detected threats are dealt with automatically. A dataset can be created to help monitor and respond to threats immediately.

  • Webshell

Webshell is a code entered maliciously into a website and is used to acquire users personal information. This is why do we need cyber security, the use of machine learning helps in detecting the difference between legitimate and malicious activities. It is used to understand the behavioural pattern of users and helps in detecting usual and unusual conduct.

  • Network Risk Scoring

This measure is to be used to assign scores to various networks in the context of cyberattacks. The role of machine learning in artificial intelligence is to determine the areas of the network involved in the same. This helps reduce the risks of further attacks and provides security to an organization.

Data Science vs Cyber Security

Data science is a branch of science that is influential in analyzing data and determining its authenticity, security, and originality. Data science cybersecurity is comparatively a newer concept to detect and prevent various cyber threats. Cyber security vs data science is not a rivalry but an interconnected idea. The role of cyber security is to manage knowledge regarding the vulnerabilities of computing systems and protect it. On the other hand, data science plays a crucial role in producing knowledge. Cybersecurity takes the help of data science to protect digital devices from possible attacks. The process of managing such vast data is a complex job. Nonetheless, data science has improved detection and management systems efficiently.

Which is Better Artificial Intelligence and Cyber Security

It is not about artificial intelligence vs cyber security but instead about using two for a secured system. Both concepts are equally important and hold a value of their own. Artificial intelligence and cybersecurity are two sides of a coin. AI helps in cybersecurity by consuming humongous data to find threats faster. Machine learning is a fragment of AI and develops patterns using algorithms. AI and machine learning improve the speed of detection and response. AI plays a huge role in cybersecurity and is becoming essential in today’s time. AI can be a crucial tool in protecting networks from cyber threats.

Benefits of Learning Cyber Security

  • Learning cyber security is beneficial in terms of digital protection. It is the most significant advantage as it reduces the risk of internet surfing from possible threats.

  • With most of our private information on the internet, cyber security has enormous importance in protecting the same in the digital era. It saves from your information getting leaked and money being stolen.

  • In case a network or individual computer is infected, it will hamper the productivity of the work. The right cyber solution will protect your machines from such threats and save you time and money.

  • Cyber security protects your website from going down. If the system gets infected, which has a website, you are likely to lose both money and customers.

  • A good cyber security solution will deny spyware, a form of cyber infection. It will prevent spyware from spying and keep the activities of a user private.

  • The top cyber security will include a firewall, anti-virus, content filtration, etc. and provide a layered security approach for best results.

How Cyber Security Can Be Improved

By far, the role and importance of cybersecurity must have been clear. There are various ways to keep a security check and improve it. It is essential to update your computers, laptops, and mobile phones to have the latest updates for protection. If the version of your device is older, it becomes easier to hack and derive information from the same. Add limited access to your electronic devices. In the case of an organization, access should be given to a particular employee who fits best for the work. It is highly advisable to use strong passwords. It would help if you changed your passwords in a few months to increase security. Secure your wifi as the data is prone to get hacked over a public account. Have different accounts for private and public use to ensure protection.

By incorporating these simple guidelines, you can secure your network and electronic devices.

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