How Machine Learning Combats Cybercrime

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.

What is Machine learning?

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.

What are the prevailing cybercrimes?

  • Internet fraud (Financial Cybercrime)
  • Cyberextortion
  • Cyberstalking and Bullying
  • Sexual Harassment and child pornography
  • Phishing and other cyber frauds
  • Cyberattacks related to online banking
  • Cyber spying or cyber espionage

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:

  • Cybercrime detection: Machine Learning will help the computer to learn algorithms and predict possible threats.
  • Password protection and authentication: Artificial Intelligent can significantly enhance biometric authentication. It can well adapt the changes like different hairstyles or varied angles and changing light intensities.
  • Track Phishing: AI and ML can extraordinarily track thousands of active phishing sources in minutes. It can sharply differentiate between fake and reliable websites.
  • Behavioural Analytics: AI and Machine learning along with the integrated device can read the patters of your surfing and activities over the internet, and determine any new uncommon pattern. This will be suspected as an intrusion from an extruder.

If anything found weird the AI detects it as suspicious and can block the user as well.

How to shield yourself from Cybercrime or the rising online swindles?

These are some listed suggestions from Delhi Police and concerned authorities to protect oneself from falling prey to cyber attackers.

  • Update your system and software: This ensures you are utilizing the updated security functions.
  • Do not open the unverified and suspicious attachment.
  • Use strong passwords. Keep changing them at intervals and don’t be lazy to use different passwords for different portals.
  • Pay attention to the information you are asked to share.
  • Do not believe any emails that come with a sense of panic, free gifts, lotteries, or some extraordinary offerings.
  • Do not click links and attachments from spam mails.
  • Be alert with the bank statements. Be quick to report any doubtful transaction.

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