Threats of cyber attacks are quickly identified through machine learning technology
In today's technology era, the incidence of cyber attacks is increasing. According to a study, the number of cyber attacks increased by 40% in 2021. In this context, Machine Learning (ML) technology has emerged as a powerful solution in cyber security.
Functionality of Machine Learning :-
Machine learning is a technology that uses artificial intelligence to analyze data and learn from new data. In cyber security it mainly uses:
1. Behavior Analysis : Using ML algorithms it is possible to identify unique behaviors, which differ from normal activities. It helps identify threats inside the system, such as unauthorized access or data theft.
2. Threat Prevention : ML technology is capable of detecting threats as well as taking necessary steps to prevent them. For example, an abnormal activity can instantly lock the system.
3. Detection of New Techniques : Cybercriminals regularly adopt new techniques, and ML systems can detect those new techniques, thereby making cyber security measures more effective.
Actual Example :-
Several major technology companies around the world, such as Google and Microsoft, use ML technology in cyber security. By implementing ML algorithms in their security tools, Google has been able to detect unusual login trends and increase the security of users.
Challenge:-
Although machine learning is playing a significant role in cyber security, it also has some challenges. For example:
1. Data Quality : Machine learning needs high quality data to work properly. Poor quality data may fail to give accurate results.
2. Adaptation of cybercriminals : Cybercriminals are constantly innovating new techniques, which can pose a challenge to ML systems.
3. Technical knowledge : Technical skills are crucial for effective implementation of cyber security systems.
Future Prospects:-
Advances in machine learning are opening up new possibilities in cyber security. In the future, the development and use of these technologies will further strengthen security measures against cyber attacks.
In this new era of cyber security, machine learning technology, if properly applied, will serve as an effective solution to reduce the risk of cyber attacks and protect information.
