FlexiCast: Energy-Efficient Software Integrity Checks to Build Secure Industrial Wireless Active Sensor Networks

Lee, Jong-Hyup; Kim, Lee-Hyung; Kwon, Taekyoung

doi:10.1109/tii.2015.2469644

Cited by 24 publications

(10 citation statements)

References 20 publications

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“…Analysis with respect to secure buffer time is essential as it is required to check the influence of increasing buffer time on communication performance. The outcome of the proposed study has been compared with two related frameworks called as SEEM and FlexiCast that has been introduced by Naseer [32] and Lee [33]. They are found to be frequently referred bby research community to address security problems in WSN, and hence they are considered in present analysis too.…”

Section: Results Analysismentioning

confidence: 99%

Unique Analytical Modelling of Secure Communication in Wireless Sensor Network to Resist Maximum Threats

E¹,

Rao²

2019

ijacsa

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Security problems in Wireless Sensor Network (WSN) are still open-end problems. Qualitative evaluation of the existing approaches of security in WSN shows adoption of either complex cryptographic use or attack-specific solution. As WSN is an integral part of upcoming Internet-of-Things (IoT), the attack scenario becomes more complicated owing to the integration of two different forms of networks and so is for the attackers. Therefore, this paper introduces a novel secure communication technique that considers time, energy, and traffic environment as prominent constraints to perform security modeling. The proposed solution designed using analytical methodology has some unique capability to resist any form of illegitimate queries of network participation and yet maintain a superior form of communication service. The simulated outcome shows that the proposed system offers reduced end-to-end delay and highest energy retention as compared to other existing security approaches.

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Section: Results Analysismentioning

confidence: 99%

Unique Analytical Modelling of Secure Communication in Wireless Sensor Network to Resist Maximum Threats

E¹,

Rao²

2019

ijacsa

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“…Routing and data collection is traditionally assisted energetically, either through joint data transmission and wireless charging [369], or through adjustable data sampling rates [396] and distributed and collaborative sleep scheduling [377]. Other energy efficient approaches include integrity check in the network [373], node localization [376], data loss minimization [378], and connected target coverage [381]. Energy efficient approaches for WSANs of particular interest with respect to the data management mechanisms employed are the following: In [371], the authors apply compressed sensing in order to break the redundant data collection (and thus save significant amounts of energy), by differentiating the available sensed data in principal and redundant, through an online learning component and a local control component.…”

Section: Computation and Data Analytics Articlesmentioning

confidence: 99%

“…IIoT / ICPS [372], [386], [392], [393], [366], [367], [375], [394], [395], [398] WSAN [369]- [371], [377], [396], [373], [374], [376], [378], [379], [381] NCS -Industrial Robots [384] Assembly Line [62], [364], [365], [383], [385], [387], [6], [388]- [391], [399] M2M Communication [368], [397] whole toward minimizing energy consumption is proposed in [384]. Dynamic low-power reconfiguration [364] and machine energy consumption minimization [365] are key objectives of novel assembly lines.…”

Section: Data Enabling Technology Articles On Energy Managementmentioning

confidence: 99%

Data Management in Industry 4.0: State of the Art and Open Challenges

2019

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Information and communication technologies are permeating all aspects of industrial and manufacturing systems, expediting the generation of large volumes of industrial data. This article surveys the recent literature on data management as it applies to networked industrial environments and identifies several open research challenges for the future. As a first step, we extract important data properties (volume, variety, traffic, criticality) and identify the corresponding data enabling technologies of diverse fundamental industrial use cases, based on practical applications. Secondly, we provide a detailed outline of recent industrial architectural designs with respect to their data management philosophy (data presence, data coordination, data computation) and the extent of their distributiveness. Then, we conduct a holistic survey of the recent literature from which we derive a taxonomy of the latest advances on industrial data enabling technologies and data centric services, spanning all the way from the field level deep in the physical deployments, up to the cloud and applications level. Finally, motivated by the rich conclusions of this critical analysis, we identify interesting open challenges for future research. The concepts presented in this article thematically cover the largest part of the industrial automation pyramid layers. Our approach is multidisciplinary, as the selected publications were drawn from two fields; the communications, networking and computation field as well as the industrial, manufacturing and automation field. The article can help the readers to deeply understand how data management is currently applied in networked industrial environments, and select interesting open research opportunities to pursue.

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“…(2) Valid packets simulation in the TESLA protocol: many simulation techniques in [11,12] are introduced to wireless sensor networks to help researchers to understand the behavior of the network which is hard to capture in situ. In this paper, we use Matlab to simulate the four queuing models of M/D/1/∞, M/M/1/∞, M/G/1/∞, and GI/G/1/∞, respectively.…”

Section: The Key Distribution Algorithm Based On Data Flow (1)mentioning

confidence: 99%

An ImprovedμTESLA Protocol Based on Queuing Theory and Benaloh-Leichter SSS in WSNs

et al. 2016

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Broadcast authentication is a fundamental security technology in wireless sensor networks (ab. WSNs). As an authentication protocol, the most widely used in WSN,μTESLA protocol, its publication of key is based on a fixed time interval, which may lead to unsatisfactory performance under the unstable network traffic environment. Furthermore, the frequent network communication will cause the delay authentication for some broadcast packets while the infrequent one will increase the overhead of key computation. To solve these problems, this paper improves the traditionalμTESLA by determining the publication of broadcast key based on the network data flow rather than the fixed time interval. Meanwhile, aiming at the finite length of hash chain and the problem of exhaustion, a self-renewal hash chain based on Benaloh-Leichter secret sharing scheme (SRHC-BL SSS) is designed, which can prolong the lifetime of network. Moreover, by introducing the queue theory model, we demonstrate that our scheme has much lower key consumption thanμTESLA through simulation evaluations. Finally, we analyze and prove the security and efficiency of the proposed self-renewal hash chain, comparing with other typical schemes.

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FlexiCast: Energy-Efficient Software Integrity Checks to Build Secure Industrial Wireless Active Sensor Networks

Cited by 24 publications

References 20 publications

Unique Analytical Modelling of Secure Communication in Wireless Sensor Network to Resist Maximum Threats

Unique Analytical Modelling of Secure Communication in Wireless Sensor Network to Resist Maximum Threats

Data Management in Industry 4.0: State of the Art and Open Challenges

An ImprovedμTESLA Protocol Based on Queuing Theory and Benaloh-Leichter SSS in WSNs

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