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RnM newly added a research report on the Artificial Intelligence AI in Cyber Security market , which represents a study for the period from to The research study provides a near look at the market scenario and dynamics impacting its growth. This report highlights the crucial developments along with other events happening in the market which are marking on the growth and opening doors for future growth in the coming years. Additionally, the report is built on the basis of the macro- and micro-economic factors and historical data that can influence the growth. The global Artificial Intelligence AI in Cyber Security market has been comprehensively analyzed and the different companies that occupy a large percentage of the market share in the regions mentioned have been listed out in the report. Industry trends that are popular and are causing a resurgence in the market growth are identified. A strategic profile of the companies is also carried out to identify the various subsidiaries that they own in the different regions and who are responsible for daily operations in these region s. Network Security Networks And Artificial Intelligence
Network Connectivity has enabled automobiles to add a significant amount of features and functionality to the vehicle. Security of the data and communication is a significant attendant risk.
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All of these networks are interconnected, and data continuously flows from one to the other. InCharlie Miller and Chris Valasek demonstrated that it was possible to remotely hack into a running Jeep Cherokee from several hundreds of miles away and take control of its operation. They were able to disable the transmission and abruptly engage the brake. Earlier this year Intelligenc, hackers could gain control of an autonomously driven Tesla car and accelerate it significantly.
There are many ways in which these attacks happen. Malware, link for malicious software, has gained unauthorized access to a car network and has been installed in one or more of its sub-systems. With multiple remote applications connecting to the car and communicating to various sub-systems, there is always room for malware installed within the vehicle.
This malware may then continuously operate within the vehicle network, either providing confidential information to a third party or denote a potentially dangerous set of actions that might threaten the safety of the vehicle and its passengers. Identity exploits would help malicious users gain unauthorized access to various parts of the vehicle network. The increasing complexity of vehicles and the progressive use of more and more software to control or enhance the functionality of sub-systems within a vehicle increases the attack surface, which is the number of different vehicle points that are vulnerable to a cyber-attack. The pattern of such an Network Security Networks And Artificial Intelligence would not be known, and no defense would have been planned for it. A conventional software solution is impossible for a zero-day attack since no detail about the attack is known a priori. The anomaly detected could be a malicious activity or a rare type of activity which need not necessarily be malicious.]
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