جستجوی مقالات مرتبط با کلیدواژه « Botnet » در نشریات گروه « علوم انسانی »

Today, botnets are used for a significant part of the attacks that take place on the scale of the Internet. Therefore, this modern generation of malwares are on the one hand very interesting for security experts and research centers, and on the other hand, they are a suitable tool for Internet vandals. In this article, we are trying to learn about botnet attacks and the methods of botnet penetration in the network, and learn about the level of risk and damages caused by botnets, and how to deal with them. In the rest of the article, first, we will get to know the concept of botnet and its types, and then we will talk about the methods of preventing attacks, damages and examples of botnets that have been discovered so far. Also, the attacks that virtual robots carry out on computer and cellular networks, especially mobile networks, and recently with the arrival of new mobile software and operating systems and portable devices, should be analyzed and researched in order to Increasing the coefficient in such networks will increase the security of users and their data, the level of aristocracy on computer networks, WIFI, etc., in line with comprehensive system management.

The Denial of Service (DoS) attacks are the attacks that overload the system resources such as CPU, network bandwidth, memory and so on to prevent system to provide services any legitimate users. The Distributed Denial of Service (DDoS) attacks are DoS attacks that organized with several systems widely (BotNet) to shut down the servers. Many companies have developed many DDoS detector systems but as the attack patterns are getting more complex day by day, the prediction of DDoS attacks by a specific method with a reasonable cost still is a hard task.
In this paper, we tried to detect DDoS attacks by expert systems that use the attack symptoms and histories. We used expert system because DDoS attacks algorithms and patterns are complicated increasingly and as a result, we need to learn the attack detector systems. Finally, we implemented our system with visual studio .net and compared the results with simulation software such as "Netica".