Artificial Intelligence to Carry out Attacks on the Network

There are many security threats that we can suffer on the network. Hackers are constantly looking for a way to attack users, to infect systems and thus obtain some kind of profit. Although security tools improve and we have more and more options to protect ourselves, the truth is that cybercriminals are also perfecting their attack techniques. In this article we are going to see how they use artificial intelligence to attack.

Artificial intelligence for network attacks

As we say, cybercriminals are also using more sophisticated tools and techniques to achieve their goals. And yes, artificial intelligence is also a resource that is increasingly being used to infect computers, steal information, and ultimately compromise security.

Artificial Intelligence to Carry out Attacks

Now a number of computer security experts have shown a report indicating how artificial intelligence and machine learning can be used to carry out cyber attacks. They can evade security defenses and allow them to attack potential existing vulnerabilities.

According to Elham Tabassi, one of the researchers, attackers can use artificial intelligence to evade detection, hide where they cannot be found, and automatically adapt to countermeasures.

Attack techniques using AI and machine learning

One of the techniques in which artificial intelligence and machine learning come into play is for data poisoning. This is designed to manipulate a training data set to control the predictive behavior of a misleading and misbehaving trained model, such as tagging spam emails as safe content.

Furthermore, according to security researchers, we can say that there are two types of data poisoning: attacks that target the availability of a machine learning algorithm and attacks that target its integrity. Research indicates that a 3% poisoning from the training data set leads to an 11% drop in accuracy.

They also mention the generative networks of confrontation. They are basically two artificial intelligence systems facing each other: one that simulates the original content and another that detects its errors. By competing with each other, they jointly create content compelling enough to pass for the original.

These generative confrontational networks could be used to crack passwords, evade malware detection, or cheat facial recognition.

Another issue to highlight is the possibility of manipulating bots through artificial intelligence. Attackers can abuse models to carry out attacks or fool algorithms.

In short, artificial intelligence is something that also helps hackers to carry out attacks. It is essential that we protect ourselves properly, that we keep our equipment updated and that we especially maintain common sense. In this way we will avoid being victims of very diverse attacks that compromise us.