WSM: Introduction, Design and Case Study

Peng, Lei; Jia-zhi, Zeng; Hai, Yong; Li, Huiyun

doi:10.1109/wicom.2007.642

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…Avrora can only emulate two specific platforms. Peng Lei et al [34] present an extension of OMNET++ framework that provides development interface which uses a UML-RT (Unified Modeling Language extension for Real Time) based model. This framework does not bridge the gaps of OMNET++ (for example, it does not have real Software (SW) code execution and Real Time Operating System (RTOS) support).…”

Section: State Of the Artmentioning

confidence: 99%

Simulation of Attacks for Security in Wireless Sensor Network

Diaz

Sánchez

2016

Sensors

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The increasing complexity and low-power constraints of current Wireless Sensor Networks (WSN) require efficient methodologies for network simulation and embedded software performance analysis of nodes. In addition, security is also a very important feature that has to be addressed in most WSNs, since they may work with sensitive data and operate in hostile unattended environments. In this paper, a methodology for security analysis of Wireless Sensor Networks is presented. The methodology allows designing attack-aware embedded software/firmware or attack countermeasures to provide security in WSNs. The proposed methodology includes attacker modeling and attack simulation with performance analysis (node’s software execution time and power consumption estimation). After an analysis of different WSN attack types, an attacker model is proposed. This model defines three different types of attackers that can emulate most WSN attacks. In addition, this paper presents a virtual platform that is able to model the node hardware, embedded software and basic wireless channel features. This virtual simulation analyzes the embedded software behavior and node power consumption while it takes into account the network deployment and topology. Additionally, this simulator integrates the previously mentioned attacker model. Thus, the impact of attacks on power consumption and software behavior/execution-time can be analyzed. This provides developers with essential information about the effects that one or multiple attacks could have on the network, helping them to develop more secure WSN systems. This WSN attack simulator is an essential element of the attack-aware embedded software development methodology that is also introduced in this work.

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Section: State Of the Artmentioning

confidence: 99%

Simulation of Attacks for Security in Wireless Sensor Network

Diaz

Sánchez

2016

Sensors

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CIM-SDN: A Common Information Model extension for Software-Defined Networking

Pinheiro

Chaves

Cerqueira

et al. 2013

2013 IEEE Globecom Workshops (GC Wkshps)

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Low-Speed Wireless Networks Research and Simulation Based on RC5

Fan

Jin

Zheng

2009

2009 5th International Conference on Wireless Communications, Networking and Mobile Computing

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RC5 receives a wide range of favor and support in security protocols of low-speed wireless networks (LSWN). In order to further study whether RC5 applies to LSWN, this paper simulates two kinds of LSWN model that includes RC5 algorithm and without RC5 algorithm through the OMNeT++ simulator. By comparing the performance of the two kinds of LSWN model, such as End-to-End Delay of the packet, Packet Loss Rate of the node, the experimental statistics prove that introducing RC5 only brings a little overhead into the whole network. Therefore, we consider that RC5 is fit to LSWN to provide security communication.

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WSM: Introduction, Design and Case Study

Cited by 3 publications

References 7 publications

Simulation of Attacks for Security in Wireless Sensor Network

Simulation of Attacks for Security in Wireless Sensor Network

CIM-SDN: A Common Information Model extension for Software-Defined Networking

Low-Speed Wireless Networks Research and Simulation Based on RC5

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