Machine Learning Maybe Used by Hackers
As we are taking steps forward in the field of Artificial Intelligence and machine learning. We are again and again getting its major drawbacks in the world of internet. Due to this, Cyber-security is always the busy topic of the list.
According to a source, Cybercriminals will use Artificial Intelligence (AI) and Machine Learning (ML) to explore victims’ networks in 2018. The devices which are taking the maximum use of technology like IoT can be hijacked and used in Distributed Denial of Service (DDoS).
This news is much more interested due to the fact that in 2018 Cybercriminals will be using AI to attack and explore the victims’ network. This means AI versus AI, which is typically the most labor-intensive part of the compromise after an incursion.
This happens because we don’t intend to update the cyber-security implications of the home IoT devices. These are hijacked by hackers using the inputs and sensors and then made to work according to them.
Persistent access means that no matter how many times a victim cleans their machine or protects their computer. The attacker will always have a backdoor into victims’ network and the systems that they connect to.
They are proven to have a high-level of effectiveness, with nation-state actors using a mix of human intelligence to compromise the weakest link in the chain.