E-Mail Alert

Add your e-mail address to receive forthcoming issues of this journal:

Journal Browser

Journal Browser

Special Issue "Security and Privacy in Wireless Sensor Networks: Advances and Challenges"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 30 April 2019

Special Issue Editor

Guest Editor
Prof. Dr. Cheng-Chi Lee

Department of Library and Information Science, Fu Jen Catholic University, New Taipei City 24205, Taiwan
Website | E-Mail
Phone: +886-2-2905-3372
Fax: +886-2-2901-7405
Interests: authentication; access control; data security; cryptography; network security; mobile communications and computing; wireless communications

Special Issue Information

Dear Colleagues,

Wireless sensor networks (WSN) have evolved over the last few decades due to the availability of low-cost, short-range sensors and their easy deployment. WSN systems focus on sensing and transmitting the real-time sense information of specific monitoring environments for back-end systems for further processing and analysis. However, due to the publicity of wireless communication channels, security and privacy concerns regarding WSN systems are becoming a hot topic of discussion. This Special Issue aims to solicit state-of-the-art research articles on advanced technologies for WSN systems, which encompass all types of research activities such as the design, development, challenges and application/service models. Moreover, we invite researchers to contribute review articles on the continuing efforts that will lead to future improvements in WSN security and privacy.

Prof. Dr. Cheng-Chi Lee
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Security aspects and requirements in WSN applications
  • Authentication and identification techniques for WSN systems
  • Privacy and trust issues in WSN systems
  • Cryptographic protocols for WSN systems
  • Cryptanalysis and security attacks in WSN systems
  • WSN applications and services
  • WSN challenges and opportunities
  • Radio frequency identification (RFID) in WSN systems
  • Blockchain technology for WSN systems
  • Deep learning of security issues in WSN systems

Published Papers (4 papers)

View options order results:
result details:
Displaying articles 1-4
Export citation of selected articles as:

Research

Open AccessArticle eHAPAC: A Privacy-Supported Access Control Model for IP-Enabled Wireless Sensor Networks
Sensors 2019, 19(7), 1513; https://doi.org/10.3390/s19071513
Received: 27 February 2019 / Revised: 21 March 2019 / Accepted: 21 March 2019 / Published: 28 March 2019
PDF Full-text (3788 KB) | HTML Full-text | XML Full-text
Abstract
The implementation of IP technology in wireless sensor networks has promoted the development of many smart scenarios. To enhance secure access in IP-enabled wireless sensor networks, access control to sensor nodes is a necessary process. However, access control currently faces two challenges, feasibility [...] Read more.
The implementation of IP technology in wireless sensor networks has promoted the development of many smart scenarios. To enhance secure access in IP-enabled wireless sensor networks, access control to sensor nodes is a necessary process. However, access control currently faces two challenges, feasibility and preservation of user access privacy. In this paper, we propose eHAPAC, a novel privacy-preserving access control model for IP-enabled wireless sensor networks. The contributions of our paper include three parts. First, this paper integrates the Hidra access control protocol and APAC privacy-preserving model, addressing the issue of privacy-preserving access control in resource-constrained devices. Second, this paper proposes an enhanced Hidra protocol to implement the unlinkability of protocol message exchanges. Third, to solve the problem of third party credibility, this paper improves the group signature-based APAC model and utilizes blockchain technology to manage the storage and publication of public group signature keys. Security analysis and performance evaluation prove that our protocol is secure and effective. Full article
Figures

Figure 1

Open AccessArticle A Trusted Routing Scheme Using Blockchain and Reinforcement Learning for Wireless Sensor Networks
Sensors 2019, 19(4), 970; https://doi.org/10.3390/s19040970
Received: 24 January 2019 / Revised: 21 February 2019 / Accepted: 22 February 2019 / Published: 25 February 2019
PDF Full-text (1414 KB) | HTML Full-text | XML Full-text
Abstract
A trusted routing scheme is very important to ensure the routing security and efficiency of wireless sensor networks (WSNs). There are a lot of studies on improving the trustworthiness between routing nodes, using cryptographic systems, trust management, or centralized routing decisions, etc. However, [...] Read more.
A trusted routing scheme is very important to ensure the routing security and efficiency of wireless sensor networks (WSNs). There are a lot of studies on improving the trustworthiness between routing nodes, using cryptographic systems, trust management, or centralized routing decisions, etc. However, most of the routing schemes are difficult to achieve in actual situations as it is difficult to dynamically identify the untrusted behaviors of routing nodes. Meanwhile, there is still no effective way to prevent malicious node attacks. In view of these problems, this paper proposes a trusted routing scheme using blockchain and reinforcement learning to improve the routing security and efficiency for WSNs. The feasible routing scheme is given for obtaining routing information of routing nodes on the blockchain, which makes the routing information traceable and impossible to tamper with. The reinforcement learning model is used to help routing nodes dynamically select more trusted and efficient routing links. From the experimental results, we can find that even in the routing environment with 50% malicious nodes, our routing scheme still has a good delay performance compared with other routing algorithms. The performance indicators such as energy consumption and throughput also show that our scheme is feasible and effective. Full article
Figures

Figure 1

Open AccessArticle Wireless Sensor Networks Intrusion Detection Based on SMOTE and the Random Forest Algorithm
Sensors 2019, 19(1), 203; https://doi.org/10.3390/s19010203
Received: 13 December 2018 / Revised: 27 December 2018 / Accepted: 4 January 2019 / Published: 8 January 2019
PDF Full-text (1306 KB) | HTML Full-text | XML Full-text
Abstract
With the wide application of wireless sensor networks in military and environmental monitoring, security issues have become increasingly prominent. Data exchanged over wireless sensor networks is vulnerable to malicious attacks due to the lack of physical defense equipment. Therefore, corresponding schemes of intrusion [...] Read more.
With the wide application of wireless sensor networks in military and environmental monitoring, security issues have become increasingly prominent. Data exchanged over wireless sensor networks is vulnerable to malicious attacks due to the lack of physical defense equipment. Therefore, corresponding schemes of intrusion detection are urgently needed to defend against such attacks. Considering the serious class imbalance of the intrusion dataset, this paper proposes a method of using the synthetic minority oversampling technique (SMOTE) to balance the dataset and then uses the random forest algorithm to train the classifier for intrusion detection. The simulations are conducted on a benchmark intrusion dataset, and the accuracy of the random forest algorithm has reached 92.39%, which is higher than other comparison algorithms. After oversampling the minority samples, the accuracy of the random forest combined with the SMOTE has increased to 92.57%. This shows that the proposed algorithm provides an effective solution to solve the problem of class imbalance and improves the performance of intrusion detection. Full article
Figures

Figure 1

Open AccessArticle A Secure and Efficient Group Key Management Protocol with Cooperative Sensor Association in WBANs
Sensors 2018, 18(11), 3930; https://doi.org/10.3390/s18113930
Received: 22 October 2018 / Revised: 9 November 2018 / Accepted: 10 November 2018 / Published: 14 November 2018
Cited by 3 | PDF Full-text (483 KB) | HTML Full-text | XML Full-text
Abstract
The wireless body area network (WBAN) is considered as one of the emerging wireless techniques in the healthcare system. Typical WBAN sensors, especially implantable sensors, have limited power capability, which restricts their wide applications in the medical environment. In addition, it is necessary [...] Read more.
The wireless body area network (WBAN) is considered as one of the emerging wireless techniques in the healthcare system. Typical WBAN sensors, especially implantable sensors, have limited power capability, which restricts their wide applications in the medical environment. In addition, it is necessary for the healthcare center (HC) to broadcast significant notifications to different patient groups. Considering the above issues, in this paper, the novel practical WBAN system model with group message broadcasting is built. Subsequently, a secure and efficient group key management protocol with cooperative sensor association is proposed. In the proposed protocol, the Chinese remainder theorem (CRT) is employed for group key management between HC and the personal controller (PC), which also supports batch key updating. The proposed sensor association scheme is motivated by coded cooperative data exchange (CCDE). The formal security proofs are presented, indicating that the proposed protocol can achieve the desired security properties. Moreover, performance analysis demonstrates that the proposed protocol is efficient compared with state-of-the-art group key management protocols. Full article
Figures

Figure 1

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top