Anticipating and Preventing Cyber Threats and Suggestions
In today's era, word cyberspace holds an important place in itself. a place that is not real, where electronic messages exist while they are being sent from one Device to another. In cyberspace, software applications, web applications, Android other mobile applications, etc. can be associated with it. Therefore, in all the methods related to cyber space, there is a possibility of getting thread, malicious code, virus etc. These threads can be stopped by anticipating which can be resolved in time.
Cyber-attacks have become one of the biggest problems in the world. They cause serious financial losses to countries and peoples every day. The rise in cyber-attacks also brings with it cyber-crime. The key factor in the fight against crime and criminals is identifying the perpetrators of cybercrime and understanding the methods of attack. Detecting and avoiding cyber-attacks is a difficult task. To avoid cyber-attacks in cyber space, some models were developed by cyber experts and scientists and continuous process is going on.to prevent cyber attacks
attack detector software
Research is in progress on this using etc.
Therefore, there is a need to develop such a system in which using human, logical, instruction set, machine learning, artificial intelligence, algorithms, networking filters etc. to identify the cyber-attack by any means, as well as fight it and remove it from the system forever. To do
And by techniques like data mining, hadoop, detection and analysis of attack techniques, what type of attack happened the most and in which type of system, what kind of network was there and how attacks can happen in future by forecasting them first. Finding solutions and developing systems that can make us aware of such attacksAll system devices in which we are connected to cyber space in some way, to make them aware of all types of cyber-attacks and any kind of loss
Subjects - Algorithms and Analysis of Algorithms, Cyber Thread Security, Networking Security, Artificial Intelligence, Data Mining and Machine Learning, Security and Privacy
Keywords - Machine learning, Crime prediction, Data analysis, Artificial intelligence, Security and privacy, Cyber-attack-crimes