Optimal Probabilistic Encryption for Secure Detection in Wireless Sensor Networks

Soosahabi, Reza; Naraghi-Pour, Mort; Perkins, Dmitri; Bayoumi, Magdy

doi:10.1109/tifs.2014.2298813

Cited by 31 publications

(26 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The suboptimal mapping probabilities and LFC decision rule that jointly minimize its error probability subject to a constraint on the EFC error probability are then derived. This approach is made more rigorous in [42], where the optimal cipher matrices are obtained based on a divergence metric, again assuming that they remain unknown to the EFC. Aysal and Barner [43] investigated the problem of secure distributed estimation by incorporating a stochastic cipher as an additional block to the existing sensor networks to improve secrecy.…”

Section: ) Censoringmentioning

confidence: 99%

Physical-Layer Security in the Internet of Things: Sensing and Communication Confidentiality Under Resource Constraints

2015

View full text Add to dashboard Cite

| The Internet of Things (IoT) will feature pervasive sensing and control capabilities via a massive deployment of machine-type communication (MTC) devices. The limited hardware, low-complexity, and severe energy constraints of MTC devices present unique communication and security challenges. As a result, robust physical-layer security methods that can supplement or even replace lightweight cryptographic protocols are appealing solutions. In this paper, we present an overview of low-complexity physical-layer security schemes that are suitable for the IoT. A local IoT deployment is modeled as a composition of multiple sensor and data subnetworks, with uplink communications from sensors to controllers, and downlink communications from controllers to actuators. The state of the art in physical-layer security for sensor networks is reviewed, followed by an overview of communication network security techniques. We then pinpoint the most energy-efficient and low-complexity security techniques that are best suited for IoT sensing applications. This is followed by a discussion of candidate low-complexity schemes for communication security, such as ON-OFF switching and space-time block codes. The paper concludes by discussing open research issues and avenues for further work, especially the need for a theoretically well-founded and holistic approach for incorporating complexity constraints in physical-layer security designs.

show abstract

Section: ) Censoringmentioning

confidence: 99%

Physical-Layer Security in the Internet of Things: Sensing and Communication Confidentiality Under Resource Constraints

2015

View full text Add to dashboard Cite

show abstract

“…But the processing capability of the EFC was too limited. Another category of effective scheme is the probabilistic ciphering based one, where the sensor’s observation is randomly mapped to a set of quantization levels according to an optimal mapping probabilities matrix [9,24,25]. However, the security is assured by assuming the EFC being completely ignorant about the mapping probabilities.…”

Section: Related Workmentioning

confidence: 99%

“…For the practical resource constraints and the serious security issues in front of WSN, secure distributed detection schemes under energy constraints are necessary for the development of an efficient IoT. Various secure strategies for distributed detection have been proposed under different assumptions on the eavesdroppers and transmission channels [8,9,10,23,24,25,26,27,28,29]. However, these studies focused on either the local detection at sensors or the information transmission from sensors to the FC.…”

Section: Introductionmentioning

confidence: 99%

Secure Distributed Detection under Energy Constraint in IoT-Oriented Sensor Networks

Zhang

Sun

2016

Sensors

View full text Add to dashboard Cite

We study the secure distributed detection problems under energy constraint for IoT-oriented sensor networks. The conventional channel-aware encryption (CAE) is an efficient physical-layer secure distributed detection scheme in light of its energy efficiency, good scalability and robustness over diverse eavesdropping scenarios. However, in the CAE scheme, it remains an open problem of how to optimize the key thresholds for the estimated channel gain, which are used to determine the sensor’s reporting action. Moreover, the CAE scheme does not jointly consider the accuracy of local detection results in determining whether to stay dormant for a sensor. To solve these problems, we first analyze the error probability and derive the optimal thresholds in the CAE scheme under a specified energy constraint. These results build a convenient mathematic framework for our further innovative design. Under this framework, we propose a hybrid secure distributed detection scheme. Our proposal can satisfy the energy constraint by keeping some sensors inactive according to the local detection confidence level, which is characterized by likelihood ratio. In the meanwhile, the security is guaranteed through randomly flipping the local decisions forwarded to the fusion center based on the channel amplitude. We further optimize the key parameters of our hybrid scheme, including two local decision thresholds and one channel comparison threshold. Performance evaluation results demonstrate that our hybrid scheme outperforms the CAE under stringent energy constraints, especially in the high signal-to-noise ratio scenario, while the security is still assured.

show abstract

“…Munivel and Ajit [27] have used public key infrastructure to perform encryption and key management. Soosahabi et al [28] have introduced a probabilistic cryptographic approach to understanding the state of transmission (to be a harmless or harmful state). Al-Haija et al [29] have presented a cryptographic technique that uses RSA for the smaller scale of the sensor network.…”

Section: B Cryptographic-based Techniquesmentioning

confidence: 99%

Trends of Recent Secure Communication System and its Effectiveness in Wireless Sensor Network

Manjunath¹,

Rao²

2016

ijacsa

View full text Add to dashboard Cite

Abstract-Wireless sensor network has received increasing attention from the research community since last decade due to multiple problems associated with it. Out of many other significant problems e.g. routing, energy, load balancing, resource allocation, there is a lesser extent of effective security protocols towards solving security pitfalls in wireless sensor network. This paper studies the trend of research manuscript published in last six years about security problems to find that cryptographic techniques received more attention compared to non-cryptographic-based techniques. It also reviews the existing implementation towards addressing security problems and assesses its effectiveness by highlighting beneficial factor as well as limitations. Finally, we extract a research gap to identify the unexplored area of research, which is finalized to be implemented as a part of the future study to overcome the recent security issues.

show abstract

Optimal Probabilistic Encryption for Secure Detection in Wireless Sensor Networks

Cited by 31 publications

References 32 publications

Physical-Layer Security in the Internet of Things: Sensing and Communication Confidentiality Under Resource Constraints

Physical-Layer Security in the Internet of Things: Sensing and Communication Confidentiality Under Resource Constraints

Secure Distributed Detection under Energy Constraint in IoT-Oriented Sensor Networks

Trends of Recent Secure Communication System and its Effectiveness in Wireless Sensor Network

Contact Info

Product

Resources

About