Unified Modeling Language based Analysis of Security Attacks in Wireless Sensor Networks: A Survey

Hong, Sunghyuck; Lim, Sunho; Song, Jaeki

doi:10.3837/tiis.2011.04.010

Cited by 17 publications

(14 citation statements)

References 16 publications

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“…In this paper [12], the authors have revisited the security attack models and analyzed them using the unified modelling language. They have used the interaction diagrams of UML to provide an in-depth knowledge of the attack at four different layers.…”

Section: Related Workmentioning

confidence: 99%

Secure Index on Distributed Data: UML Extension for Wireless Sensor Networks

2019

IJRTE

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The research on wireless sensor network has evolved with applications being developed in several domains. However, applications designed for wireless sensor network are attributed with programming which occurs at lower levels of abstractions of the operating system. The application designer has to be aware of both the domain of the application and its corresponding hardware platform. This creates a strong coupling between the implemented code and hardware platform. Hence all applications are designed for specific platforms and become difficult to maintain, modify and reuse. Our proposal creates UML models for a WSN application to formalize it according to a development life cycle. Secure Index on Distributed data (SIDD) is an application that addresses two issues of data distribution and security. The UML model helps to harmonize the domains of security and application. Hence the paper focusses on converging the designing process into a formal development mode using UML representations.

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Section: Related Workmentioning

confidence: 99%

Secure Index on Distributed Data: UML Extension for Wireless Sensor Networks

2019

IJRTE

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“…At last, the node with the maximum counter n c will be captured by the attacker (line 9). Then we adjust the entries of M 0 (line [11][12][13][14][15][16][17]. The attacking process will continue until the network is compromised.…”

Section: Attacking Algorithmmentioning

confidence: 99%

“…Researching the mechanisms of attacks [9,10] is of profound contribution in designing the defence techniques in WSNs, because modeling the behavior of the attacker [11,12] can provide fundamental for devising countermeasures to safeguard against various attacks. So far, researchers are focusing on attacking strategies in different attacks: the Sybil attack [13], the jamming attack [14], the Dos attack [15], and so on.…”

Section: Introductionmentioning

confidence: 99%

A low‐cost node capture attack algorithm for wireless sensor networks

Lin

Qiu

et al. 2015

Int J Communication

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SUMMARYWireless sensor networks (WSNs) have many micro devices that are easy to capture. In node capture attacks, the adversary physically captures sensors and extracts all information including key information from their memories, trying to compromise the system's security protection. However, the robust and random nature of many WSN security designs makes it difficult to compromise the system even with the capture of some sensors. In this paper, we approach WSN security from an adversarial point of view and investigate low-cost and efficient algorithms to identify sensors in a WSN in the shortest time with the lowest cost. Instead of randomly capturing sensors, an intelligent attacker should choose the next target based on the known topology so far. Because the identification of such has been proven to be NP-hard (non-deterministic polynomial-time hard), we propose to transform the problem into a set covering problem and develop a greedy minimum cost node capture attack algorithm (MCA) to lower cost of attack. Extensive simulations have been implemented to evaluate the performance of MCA and to compare it with several related schemes. It is shown that MCA lowers the cost of compromising WSNs by 16%.

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“…Researching the mechanisms of attacks is of profound contribution in designing the defense techniques in WSNs, because modeling the behavior of the attacker can provide basis for devising the countermeasures to safeguard against various attacks. So far, researchers have been focusing on attacking strategies in different attacks: the Sybil attack , the jamming attack , the DoS attack , and so on.…”

Section: Introductionmentioning

confidence: 99%

MREA: a minimum resource expenditure node capture attack in wireless sensor networks

Lin

Qiu

Obaidat

et al. 2016

Security Comm Networks

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Because of the stochastic key pre‐distribution and complicated network topology, designing an energy‐efficient node capture attack algorithm is of great challenge. Although many algorithms have been proposed for node capture attack, previous methods lack of concerning minimizing resource expenditure in modeling attacking behavior. In this paper, we propose a novel way of modeling the node capture attack. First, we transform the problem into a set covering problem with a shortest Hamiltonian cycle problem, which has been shown to be NP‐hard. Consequently, we also develop a heuristic called minimum resource expenditure node capture attack (MREA) to maximize destructiveness while minimizing resource expenditure. Moreover, extensive simulations are conducted to show the performance of MREA. Simulation results show that MREA outperforms other algorithms in reducing the attack rounds and saving resource expenditure. Copyright © 2016 John Wiley & Sons, Ltd.

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Unified Modeling Language based Analysis of Security Attacks in Wireless Sensor Networks: A Survey

Cited by 17 publications

References 16 publications

Secure Index on Distributed Data: UML Extension for Wireless Sensor Networks

Secure Index on Distributed Data: UML Extension for Wireless Sensor Networks

A low‐cost node capture attack algorithm for wireless sensor networks

MREA: a minimum resource expenditure node capture attack in wireless sensor networks

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