The world is digitalizing at a speed of light, establishing as a boon to businesses, education, and learning, finance, etc. But great benefits bring negatives as well. Here it comes in the form of Cybercrime. According to the 2011 census, India is a country of 1,210,193,422 (623.7 million males and 586.4 million females). Among this population, we had over 400 million internet users by 2018. The count is exponentially increasing with easy accessibility to the internet and development in technology. With this digital meshwork and extensive interconnection of data, comes new possibilities of crime. In this scenario, it’s cybercrime. With no geographical limitations, cybercrime is a great threat to society. Be it private or the government data, every information which is present over the internet is vulnerable to cybercrime threats.
As per a 2017 report, there was a wholesome loss of 18 billion dollars, with reportedly 27,000 cases of cybercrimes. The cases are rising exponentially during the times of pandemic because of the prevailing digital shift. Considering the stats, it is nearly impossible to quantify the reasons for cybersecurity needs. Artificial Intelligence (AI) or Machine Learning (ML) are going to change the landscape of both the Cybercrimes and Cybersecurity. As the entire process of Cybercrime can be automated using the technological advancements that will also manifest as a financial advantage to the cyberattackers. Ultimately leading to the increased cybercrime rate. The same technology of Machine Learning can be applied to advance the reach of cybersecurity.
Machine learning is the component of Artificial intelligence that provides systems the ability to learn from data, patterns, algorithms, and experiences. Machine learning comprises programs that allow data access and automated learning. Machine learning simply is a component that trains the machine on how to learn.
Artificial intelligence and machine learning as a subset of cybersecurity tools. Although the situation may seem threatening, AI and Machine Learning are expected to prove game-changer. It can be used as a powerful tool to combat accelerating incidents of cybercrime. Machine learning is much influential in its title, though the approach could be a naturally suited software scanning.
Certain ways in which AI and Machine Learning can be applied to the domain of cybersecurity include:
If anything found weird the AI detects it as suspicious and can block the user as well.
These are some listed suggestions from Delhi Police and concerned authorities to protect oneself from falling prey to cyber attackers.