Security Trade-Off and Energy Efficiency Analysis in Wireless Sensor Networks

Rusinek, Damian; Księżopolski, Bogdan; Wierzbicki, Adam

doi:10.1155/2015/943475

Cited by 12 publications

(12 citation statements)

References 32 publications

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“…From Listing 5 one can easily deduce that the sink node communicates with both compromised motes (Listing 5, lines (4)-(6)), and attacker exchanges information with compromised devices too (Listing 6, lines (4)-(6)). Article [25] provides a detailed view of the topology structure.…”

Section: Network Architecture and Topologymentioning

confidence: 99%

“…With the help of this channel attacker instructs compromised nodes to flood the base station. Details about the communication structure are available in [25].…”

Section: Data Flows and Routingmentioning

confidence: 99%

“…Here one can specify a set of parameters, like the quality of the channel (line (4)), default transmission time (line (5)), calculated by the algorithm presented on Listing 9, together with default listening (line (6)), and sending (line (7)) and receiving (line (8)) current values. Details about the algorithm from Listing 9 can be found in [25].…”

Section: Communicationmentioning

confidence: 99%

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Multilevel Modeling of Distributed Denial of Service Attacks in Wireless Sensor Networks

2016

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The growing popularity of wireless sensor networks increases the risk of security attacks. One of the most common and dangerous types of attack that takes place these days in any electronic society is a distributed denial of service attack. Due to the resource constraint nature of mobile sensors, DDoS attacks have become a major threat to its stability. In this paper, we established a model of a structural health monitoring network, being disturbed by one of the most common types of DDoS attacks, the flooding attack. Through a set of simulations, we explore the scope of flood-based DDoS attack problem, assessing the performance and the lifetime of the network under the attack condition. To conduct our research, we utilized the Quality of Protection Modeling Language. With the proposed approach, it was possible to examine numerous network configurations, parameters, attack options, and scenarios. The results of the carefully performed multilevel analysis allowed us to identify a new kind of DDoS attack, the delayed distributed denial of service, by the authors, referred to as DDDoS attack. Multilevel approach to DDoS attack analysis confirmed that, examining endangered environments, it is significant to take into account many characteristics at once, just to not overlook any important aspect.

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Section: Network Architecture and Topologymentioning

confidence: 99%

“…With the help of this channel attacker instructs compromised nodes to flood the base station. Details about the communication structure are available in [25].…”

Section: Data Flows and Routingmentioning

confidence: 99%

Section: Communicationmentioning

confidence: 99%

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Multilevel Modeling of Distributed Denial of Service Attacks in Wireless Sensor Networks

2016

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“…The energy consumption is calculated as the sum of energy consumed by operations that use CPU. (The details can be found in [32]. )…”

Section: Scenarios Definitionmentioning

confidence: 99%

On Security Management: Improving Energy Efficiency, Decreasing Negative Environmental Impact, and Reducing Financial Costs for Data Centers

Mazur

Księżopolski

Wierzbicki

2015

Mathematical Problems in Engineering

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Security management is one of the most significant issues in nowadays data centers. Selection of appropriate security mechanisms and effective energy consumption management together with caring for the environment enforces a profound analysis of the considered system. In this paper, we propose a specialized decision support system with a multilevel, comprehensive analysis scheme. As a result of the extensive use of mathematical methods and statistics, guidelines and indicators returned by the proposed approach facilitate the decision-making process and conserve decision-maker's time and attention. In the paper we utilized proposed multilevel analysis scheme to manage security-based data flow in the example data center. Determining the most secure, energy-efficient, environmental friendly security mechanisms, we implemented the role-based access control method in Quality of Protection Modeling Language (QoP-ML) and evaluated its performance in terms of mentioned factors.

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“…The inspection of transmission lines is mainly conducted by humans, unmanned aerial vehicles (UAVs) and robots [10,11]. The main contents of inspection data are images and videos of transmission lines and surrounding environment.…”

Section: Introductionmentioning

confidence: 99%

Robot Delay-Tolerant Sensor Network for Overhead Transmission Line Monitoring

Fan

Wang

et al. 2018

Applied Sciences

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The rapid development of the smart grid has led to higher maintenance cost and greater scalability of transmission lines. An effective and secure monitoring system for power lines has become a bottleneck restricting the intellectualization of power grids. To address this problem, a novel method is proposed for the intelligent monitoring of power grids (Robot Delay-Tolerant Sensor Network, RDTSN) based on an inspection robot, Wireless Sensor Network (WSN) and Delay-Tolerant Sensor Network (DTSN) to achieve low-cost, energy-efficient, elastic and remote monitoring of power grids. With RDTSN, a smart grid can detect the fault of transmission lines and evaluate the operational state of power grids. To build an effective monitoring system for a smart grid, this research focuses on designing a methodology that achieves efficient and secure delivery of the data inspected on transmission lines. Multiple RDTSN scenarios are performed, in which different routing algorithms are explored to determine the optimal parameters, with a balance in network performance and financial cost. Furthermore, a data delivery strategy is introduced to ensure communication security.

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Security Trade-Off and Energy Efficiency Analysis in Wireless Sensor Networks

Cited by 12 publications

References 32 publications

Multilevel Modeling of Distributed Denial of Service Attacks in Wireless Sensor Networks

Multilevel Modeling of Distributed Denial of Service Attacks in Wireless Sensor Networks

On Security Management: Improving Energy Efficiency, Decreasing Negative Environmental Impact, and Reducing Financial Costs for Data Centers

Robot Delay-Tolerant Sensor Network for Overhead Transmission Line Monitoring

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