Search

In this paper we consider the problem of the need for deep traffic analysis to detect attacks on a network of mobile robots, as well as to assess their effectiveness. The object of the study is a group of mobile robots. It provide a means to analyze the security of mobile robot networks. It analyzes the anomalous activity of robots in a mobile network, based on analysis of traffic at the network and transport layers. To carry out such an analysis, a mathematical approach based on mathematical statistics and probability theory is used. It allows detecting attacks distributed denial of service and Sibyl attack. In addition, this technique allows us to determine what metrics are affected by this or that attack. In addition, it is possible to assess under what conditions the attack has the greatest impact on the network. In this paper, an experimental study was carried out and statistical data collected, the analysis of which allowed us to confirm theoretical assumptions.

The article deals with the application of FSTEC n 31 dated March 14, 2014 to the system consisting of mobile unmanned mobile robots and the operator's workplace. The article compares with other standards in the field of information security. After that, the system of mobile robots is classified and the choice of measures for the protection of information takes place. The implementation of these measures and the analysis of this implementation are shown below. At the end, a conclusion was drawn on the application of FSTEC n 31 to such systems.

This article studied the attacks that can be implemented in a network of mobile robots. The peculiarity of these attacks is that they, as a rule, use the vulnerabilities of wireless data transmission and the weakness of network protocols. The study was carried out using a simulation model of a group of mobile robots. It was modeled following attacks: denial of service, Black-Hole, Gray-Hole. In this case, it was analyzed the impact of the attacks on the energy consumption and the impact on network traffic. It was assessed the complexity of the implementation of various types of attacks. This analysis should make it clear with what intensity the attack should be conducted in order to damage the network. Also in this study, a method is proposed for calculating the trust of network nodes and the entire network as a whole based on the number of discarded packets.

The aim of this paper is to analyze the ways of providing security for mobile robots groups control (MRGC) and to develop a security protocol for MRGC under limited computational and power resources away from the controlled area. The solution for this problem assumes features of group control systems and robot systems from the security point of view. The main problem connected with the development of a security system for mobile robots is the distinction of this type of the network from other networks. This demands the development of special methods and approaches that should take many specific factors such as limitations of computational resources and power into account. The proposed solution for MRGC is based on the use of trust concept for finding the validity of nodes and finding targets. In contrast to the existing approaches, this protocol uses several parameters to evaluate the trust that allows to expand the range of repelled attacks.

The aim of this research is to develop a method that would allow to effectively detect active intruder's attacks using network traffic and physical features analysis for wireless sensor network (WSN) nodes. We analyze the physical characteristics of potential target nodes, and then design a method for malicious node identification in cases of physical features violations. The proposed method is based on the use of probabilistic functions, confidence interval calculation and finding the probability of deviation of observed parameters from the confidence interval. The novelty of the method is because we estimate the probability of observation fitting into the confidence interval and not compare with the sample distribution. In addition, the proposed method allows detecting a malicious node according to its physical features, while most intrusion detection systems (IDS) deal with the network traffic. The advantage of the proposed approach is also supported by the fact that there is a chance of attacks against physical activity (e.g., node movement disorders, power depleting, communication noises, etc.).

This article discusses the development of methodology of countering attacks based on the use of Bayes' theorem and normal distribution, where the workload, node residual energy, as well as an analysis of successful and unsuccessful network events used to compute the trust level. Estimation of the workload and the residual energy allows detecting attacks such as "Denial of Service", "Sybil" attacks directed on depletion of host resources. Direct trust calculation allows detecting "Black hole", "Grey hole" and "Wormhole" attacks. For the implementation of this methodology the software that can be installed on the base station and the network nodes was developed.

In this paper a model of secure wireless sensor network (WSN) was developed. This model is able to defend against most of known network attacks and don't significantly reduce the energy power of sensor nodes (SN). We propose clustering as a way of network organization, which allows reducing energy consumption. Network protection is based on the trust level calculation and the establishment of trusted relationships between trusted nodes. The primary purpose of the hierarchical trust management system (HTMS) is to protect the WSN from malicious actions of an attacker. The developed system should combine the properties of energy efficiency and reliability. To achieve this goal the following tasks are performed: detection of illegal actions of an intruder; blocking of malicious nodes; avoiding of malicious attacks; determining the authenticity of nodes; the establishment of trusted connections between authentic nodes; detection of defective nodes and the blocking of their work. The HTMS operation based on the use of Bayes' theorem and calculation of direct and centralized trust values.

In this paper we consider a clustering wireless sensor network which needs to be protected. The main aim of this article is development of a secure clustering wireless sensor network model with built-in detection and counteraction mechanisms against malicious impacts (attacks). We develop trust management system (TMS), based on analyzing following parameters: residual energy level, send/received/forwarding data, control, routing packets, packets integrity, availability based on beacons, changing the address of the packet. System is efficient in preventing attacks and consumes less energy than analogs.

In this paper we consider a clustering wireless sensor network which needs to be protected. The main aim of this article is development of a secure clustering wireless sensor network model with built-in detection and counteraction mechanisms against malicious impacts (attacks). Trust level calculation algorithm and cluster head (CH) election algorithm are introduced and secure clustering WSN model is described.