AI Training Datasets: A Helping Guide To Government For Solving Cyber Crimes

Can you now imagine a world with absolutely no AI? Can you imagine how your life would have been if there was no artificial intelligence invention? We really can't. Since its upcoming, we have tended to make AI an integral part of our lives. Believe it or not, 60 percent of our business operations and day-to-day activities have continued due to Artificial Intelligence. It has now become a priority in every kind of field. Technology is marvelous, no doubt, but the best creation of technology is Artificial Intelligence.

If we write its uses on a piece of paper, then I'm afraid that we'll require so many. Here, we'll discuss its use in data breaches and cybercrimes. 

Whenever something new comes up, we first look at its pros, and slowly-slowly its cons start appearing. "The Worldwide Web" had sparked the technological part of our lives, but soon it felt like a threat once the Dark Web began to eat the society. AI has the required potential to support several national and international security initiatives, from cybersecurity to logistics and counter-terrorism. You do not even know how much of your personal data is available to the public. This lack of knowledge leads to cybercrimes. 

There is an end number of sources available online to get and use your data. I'm afraid that these sources include unstructured social media data from both fringe and mainstream platforms, as well as deep and dark web data. It is really hard for any intelligence service in the country or the world to expose them. These sources are not always easily accessible through commercial threat intelligence platforms. 

Can you imagine how much data we create each day? It is hard to believe, but there are 2.5 quintillion bytes of data created each day at our current pace. Now, imagine we expose this data to the dark web, and it gets used. 

Doesn't this data need protection? Well, it does. Let us see how the Government uses AI Training Dataset to solve this biggest web issue? 

It is really a vast amount of data to be protected for humans. Humans can't take care of this quantity of data all alone. Artificial Intelligence solutions are sought for building protective walls to keep out any possible data and network attacks. 

Why do we need AI? 

1. To secure our data: AI scans big data in minutes that humans take months to evaluate and list problems and anomalies immediately.

2. To reduce detection and response time: AI can speed up altering, detection, optimizing, and sourcing of security data. 

3. To pick out thread needles in cyber haystacks: It can rapidly analyze situations and behaviors to spot the threat needles that correspond to malicious activity.

Cybersecurity needs Artificial Intelligence and Machine Learning due to following reasons- 

• AI and Machine Learning are capable of providing the Government with various platforms to help security agencies fight cyberattacks powerfully. 

• It gives spam filter applications.

• It recognizes different patterns. 

• It helps in Botnet Detection. 

• It processes natural language. 

• It forecasts Hacking Incidents. 

• It predicts and analyzes data insecurity. 

Machine learning and AI can quickly identify and stop the highly-targeted, custom-made malware created by attackers. They enable agencies to prevent the execution of all types of malicious content, including malware related to the implementation of advanced persistence mechanisms, BIOS malware, master boot record (MBR) malware, hypervisor malware, and malware capable of injecting into memory at any time. 

It focuses on three key areas- 

• Sensing- AI is quite capable to replace human sensory capabilities, speeding up simple tasks such as visual detection. Let us take an example. Have you seen the street and road cameras in your neighborhood? AI automatically analyze these cameras in real-time. Therefore, Governments can make the best use of public transport, reduce pollution and manage the flow of traffic.

• Thinking- AI's deep learning can analyze and process large volumes of data, much faster than humans. Many governments are already using these technologies to help teachers fill the gaps in teaching and learning. 

• Acting- AI-related technologies can take simple decision-making tasks off humans. This saves plenty of time for front-line workers to focus on activities that improve services and the citizen experience.

How does AI get into action when it comes to cybercrimes and national security? 

AI focuses on mainly four areas to detect and reduce cybercrimes. These are- 

1. Making life safer for all citizens- The Kanagawa Prefectural Police in Japan planned to trial predicting policing before the 2020 Tokyo Olympics. The AI-based system will analyze big data to see if the same perpetrator is behind the number of crimes. It is also capable of predicting where crimes are likely to happen and when. By acting on its insights, officials will reduce crime and make Tokyo safer. 

2. Improving national security- An AI system can detect 85% of cyber attacks. This system helps officials to prevent security leaks by making decisions early. They will also be able to improve their security systems and prevention strategies. 

3. Giving citizens a better place to live- Governments in Denmark use AI tools to analyze posts by citizens on their social networks. This allows them to respond to issues and use predictive analysis to address problems before they emerge. 

4. Facial Data Recognition of criminals- AI machine learning depends on Facial Recognition Datasets. The government gets a lot of help from AI to recognize the faces of the dark web associates.  

Governments can use AI training data of GTS to become more efficient and effective But, it is also the government’s responsibility to role-model AI’s use, regulates how companies apply it, and educate citizens to be ready for its challenges. And crucially, the government needs to identify and manage the risks that AI poses. AI and machine learning technologies are all about learning user behavior patterns.