Wireless Sensor Network Simulation for Security and Performance Analysis

Diaz, Alvaro; Sánchez, Pablo; Sancho, J.; Rico, J.

doi:10.7873/date.2013.097

Cited by 8 publications

(4 citation statements)

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“…Research conducted by Diaz et al [7] examines the attack vectors used against WSN with focus on the impact on power consumption and software execution time. The security vulnerabilities examined by the authors focuses on attacks against the physical and data link layer of the open systems interconnection (OSI) model.…”

Section: Literature Reviewmentioning

confidence: 99%

Study of two security constructs on throughput for Wireless Sensor multi-hop Networks

Sparrow

Adekunle

Berry

et al. 2015

2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

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With the interconnection of devices becoming more widespread in society (e.g. internet of things), networked devices are used in a range of environments from smart grids to smart buildings. Wireless Sensor Networks (WSN) have commonly been utilised as a method of monitoring a set processes. In control networks WSN have been deployed to perform a variety of tasks (i.e. collate and distribute data from an event to an end device). However, the nature of the wireless broadcast medium enables attackers to conduct active and passive attacks. Cryptography is selected as a countermeasure to overcome these security vulnerabilities; however, a drawback of using cryptography is reduced throughput. This paper investigates the impact of two software authenticated encryption with associated data (AEAD) security constructs on packet throughput of multiple hop WSN, being counter with cipher block chaining and message authentication code (CCM) and TinyAEAD. Experiments were conducted in a simulated environment. A case scenario is also presented in this paper to emphasise the impact in a real world context. Results observed indicate that the security constructs examined in this paper affect the average throughput measurements up to three hops.

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Section: Literature Reviewmentioning

confidence: 99%

Study of two security constructs on throughput for Wireless Sensor multi-hop Networks

Sparrow

Adekunle

Berry

et al. 2015

2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)

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“…At this juncture, the stretch and carousal type of vampire attacks cannot be mitigated through cryptographic approaches as they are helpful only in preventing data tampering. 11 The vampire attack systematically and steadily forwards some data packets to a particular node to completely deplete their inherent energy and floods the network with useless messages that completely prevent its service or its availability to the other interacting sensor nodes. 12 Further, the cryptographic approaches are potent in facilitating strengthened security when the sensor nodes are a foreign nodes and are not a network constituent.…”

Section: Introductionmentioning

confidence: 99%

Bipolar fuzzy information‐based PROMETHEE‐based outranking scheme for mitigating vampire attack in wireless sensor networks

Arunachalam

Perumal

2022

Trans Emerging Tel Tech

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The sensor nodes comprising sensing devices, small processing units, and battery, cooperate in wireless sensor networks (WSNs) for gathering potential factors that aids in achieving significant decision‐making processes in deployed applications. WSNs are vulnerable to security threats due to their open nature, availability characteristics, and lack of energy, resulting in a diversified number of security attacks. Among the security attacks, vampire attack is the serious threat as they drain the energy of nodes, which in turn crumbles the network lifetime and energy stability in WSNs. In this article, Bi‐Polar Information‐Based Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE)‐based outranking scheme is proposed for detecting and isolating vampire attacks to improve throughput with minimized energy consumptions and delay for prolonging lifetime. This proposed BPFI‐POR scheme used bipolar information that facilitates an asymmetrical association between two decision making factors that influences the discrimination and selection of genuine nodes from vampire nodes during the routing process. It aids in characterizing precise and vague information through bipolar fuzzy linguistic terms that has the maximized probability of being represented as trapezoidal bipolar fuzzy numbers. It estimated the cooperation of intermediate sensor nodes' based on trapezoidal bipolar fuzzy numbers for determining their preference or selection using criteria that could be influenced during the routing process. It also used the ranking function for accessing the alternatives through crisp real preferences with entropy weighting information responsible for attributes weight computation. The simulation results of the BPFI‐POR scheme confirmed better throughput, detection time with minimized energy consumptions and latency on par with the competitive algorithms.

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“…A brief introduction of the attack model is presented in [17]. In [17], a first version of the virtual simulator with a reduced group of attacks is presented.…”

Section: Introductionmentioning

confidence: 99%

“…A brief introduction of the attack model is presented in [17]. In [17], a first version of the virtual simulator with a reduced group of attacks is presented. There is another work [18] that is focused on the high-level design of the WSN and the attacks with UML-Marte (Unified Modeling Language) models.…”

Section: Introductionmentioning

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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Wireless Sensor Network Simulation for Security and Performance Analysis

Cited by 8 publications

References 0 publications

Study of two security constructs on throughput for Wireless Sensor multi-hop Networks

Study of two security constructs on throughput for Wireless Sensor multi-hop Networks

Bipolar fuzzy information‐based PROMETHEE‐based outranking scheme for mitigating vampire attack in wireless sensor networks

Simulation of Attacks for Security in Wireless Sensor Network

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