Abstract
The article considers the modeling of security problems in the Internet as stochastic systems. This allows you to find flaws in existing security systems and offer new solutions. Studying the vulnerabilities of existing security tools can prevent cyber-attacks from taking advantage of weak systems. New, flexible and adaptive security schemes are necessary for emerging security threats elimination. A hybrid network security scheme, including intrusion detection systems and baits, scattered throughout the network is proposed. This combines the advantages of two security technologies. Honeypot is an activity-based network security system that can be a logical addition to the passive detection policies used by the IDS. This integration forces us to balance the safety indicators compared to costs, planning the operation of the device for the proposed system. Formulation of planning problems as a decentralized partially observable Markov decision-making process (DEC-POMDP) allows to make decisions in a distributed manner on each device without the need of centralized management.
Highlights
Researchers have conducted extensive work to provide reliable and confidential means of information transferring between parties who want to remain anonymous
Despite the fact that efforts are directed at anonymity in communication, the effectiveness of traffic analysis was shown in violation of the anonymity of these systems
Traffic analysis was used as means of cryptanalysis, but it is usually considered as the basis of communication intelligence [5]
Summary
Researchers have conducted extensive work to provide reliable and confidential means of information transferring between parties who want to remain anonymous. Despite the fact that efforts are directed at anonymity in communication, the effectiveness of traffic analysis was shown in violation of the anonymity of these systems. In [4] it is shown, that the majority of existing mixing networks do not work with traffic analysis based on correlation. As distinct from cryptanalysis, which attempts to crack complex encryption, traffic analysis ignores the content of the message and displays useful information from the metadata associated with the message. It was shown, that the properties of network traffic (such as dimensions and time of package), which remain observable after encryption, show valuable information. By the frequencies analyze used by wireless radio link between the sensors, they can identify the type of medical sensors, and this information will further detect the patient's health problems
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