Using Mobile Agents to Detect and Recover from Node Compromise in Path-based DoS Attacks in Wireless Sensor Networks

Recently, wireless sensor networks have employed the concept of mobile agent to reduce energy consumption and obtain effective data gathering. Typically, in data gathering based on mobile agent, it is an important and essential step to find out the optimal itinerary planning for the mobile agent. However, single-agent itinerary planning suffers from two primary disadvantages: task delay and large size of mobile agent as the scale of the network is expanded. Thus, using multi-agent itinerary planning overcomes the drawbacks of single-agent itinerary planning. Despite the advantages of multi-agent itinerary planning, finding the optimal number of distributed mobile agents, source nodes grouping, and optimal itinerary of each mobile agent for simultaneous data gathering are still regarded as critical issues in wireless sensor network. Therefore, in this article, the existing algorithms that have been identified in the literature to address the above issues are reviewed. The review shows that most of the algorithms used one parameter to find the optimal number of mobile agents in multi-agent itinerary planning without utilizing other parameters. More importantly, the review showed that theses algorithms did not take into account the security of the data gathered by the mobile agent. Accordingly, we indicated the limitations of each proposed algorithm and new directions are provided for future research.

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An Improved Congestion Control Mechanism Based on Mobile Agent for Wireless Sensor Networks

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.519-520.1239 ◽

2014 ◽

Vol 519-520 ◽

pp. 1239-1242

Author(s):

Xiao Hu Yu

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Congestion Control ◽

Mobile Agent ◽

Mobile Agents ◽

Control Mechanism ◽

Wireless Sensor ◽

Delivery Ratio ◽

Routing Table ◽

Congestion Control Mechanism

An improved congestion control mechanism based on mobile agent for wireless sensor networks is proposed, which includes node-level congestion and link-level congestion control. The formers congestion information is collected and distributed by mobile agents (MA). When mobile agent travels through the networks, it can select a less-loaded neighbor node as its next hop and update the routing table according to the nodes congestion status. Minimum package of node outgoing traffic was preferentially transmitted in the link-level congestion. Simulation result shows that proposed mechanism attains high delivery ratio and throughput with reduced delay when compared with the existing technique.

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Insider DoS Attacks on Epidemic Propagation Strategies of Network Reprogramming in Wireless Sensor Networks

2009 Fifth International Conference on Information Assurance and Security ◽

10.1109/ias.2009.215 ◽

2009 ◽

Author(s):

Yu Zhang ◽

Xing She Zhou ◽

Yee Wei Law ◽

Marimuthu Palaniswami

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Wireless Sensor ◽

Dos Attacks ◽

Network Reprogramming

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Overview of DOS attacks on wireless sensor networks and experimental results for simulation of interference attacks

Ingeniería e Investigación ◽

10.15446/ing.investig.v38n1.65453 ◽

2018 ◽

Vol 38 (1) ◽

pp. 130-138 ◽

Cited By ~ 4

Author(s):

Željko Gavrić ◽

Dejan Simić

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Denial Of Service ◽

Wireless Sensor ◽

Dos Attacks ◽

Security Issue ◽

Simulation Scenario ◽

Simulation Results ◽

Potential Methods

Wireless sensor networks are now used in various fields. The information transmitted in the wireless sensor networks is very sensitive, so the security issue is very important. DOS (denial of service) attacks are a fundamental threat to the functioning of wireless sensor networks. This paper describes some of the most common DOS attacks and potential methods of protection against them. The case study shows one of the most frequent attacks on wireless sensor networks – the interference attack. In the introduction of this paper authors assume that the attack interference can cause significant obstruction of wireless sensor networks. This assumption has been proved in the case study through simulation scenario and simulation results.

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