Power Adaptive Data Encryption for Energy-Efficient and Secure Communication in Solar-Powered Wireless Sensor Networks

Kim, Jong Min; Lee, Hong Sub; Yi, Junmin; Park, Min‐Ho

doi:10.1155/2016/2678269

Cited by 24 publications

(12 citation statements)

References 24 publications

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“…Encryption of WSNs is usually divided into symmetric key based algorithms and public key based algorithms. WSNs usually use symmetric key based algorithms which have weak crypto strengths compared to high energy efficiency, and public key algorithms that require a lot of energy to provide high crypto strengths [64].…”

Section: A Data Confidentialitymentioning

confidence: 99%

A Survey on Security Requirements for WSNs: Focusing on the Characteristics Related to Security

Lee

et al. 2020

IEEE Access

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As WSNs combine with a diversity of next-generation technologies, wireless sensor networks (WSNs) have gained considerable attention as a promising ubiquitous technology. Even though several studies on WSNs are being undertaken, few systematically analyze the security issues relating to them. Moreover, recent systems tend to be implemented without sufficient consideration about owns security requirements, which can lead to lethal threats. Systems that do not consider security requirements may provide attackers the opportunity to reduce the overall efficiency and performance of the system. This means that inadequately applied security requirements can result in defective security of systems. Therefore, in this study, we emphasized the importance of security requirements to raise awareness regarding them. In addition, we analyzed literature that could be improved by including WSNs security requirements such as characteristics, constraints, and threats. Furthermore, we adopted a systematic methodology by referring to reliable literature and performed a different analysis from previous studies. We derived and mapped the different security factors based on the literature and illustrated the relationships of each security factor. Finally, our research compared with studies of a similar type to evaluate whether it provided a significant contribution. In other words, in this study, we analyzed various factors related to WSNs security based on reviewing the literature and show our contribution, such as a systematic analysis framework and factor mapping compared with traditional studies. Though there are some considerations, we expect that this research derived the essential security requirements in any WSNs environments. INDEX TERMS Wireless sensor network, security requirement, next-generation technologies.

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Section: A Data Confidentialitymentioning

confidence: 99%

A Survey on Security Requirements for WSNs: Focusing on the Characteristics Related to Security

Lee

et al. 2020

IEEE Access

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“…However, the process to find trusted nodes to perform the encryption and to maintain the integrity and authenticity of the data is itself a very challenging task to perform at end nodes. Power adaptive encryption is introduced for solar-powered wireless sensor networks in [52]. The technique switches between symmetric and public-key cryptography depending on the urgency of energy saving in the node.…”

Section: Security Vulnerabilities In Lpwanmentioning

confidence: 99%

Security in Low Powered Wide Area Networks: Opportunities for Software Defined Network-Supported Solutions

2020

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The Internet of things (IoT) has revolutionized the use of connectivity and has given birth to new transmission technologies to satisfy the requirements of diverse IoT applications. Low powered wide area networks (LPWAN) is one of those transmission technologies, and is becoming exceptionally useful for IoT applications. The nodes use energy-efficient mechanisms for long-range data transmission (10–20 km), lasting in hostile environments for years and making them suitable for IoT applications such as environmental monitoring, automated billing systems, smart homes, smart offices, and patient monitoring. However, LPWAN devices have minimal resources, which makes it challenging to provide promising security to devices and data in the network. In this paper, we discuss the security mechanisms used in current LPWAN technologies along with their vulnerabilities and possible attacks on them. A detailed literature review is conducted on existing solutions on the security of constrained IoT networks similar to LPWAN using different networking frameworks. The reviewed literature is then compared based on various network security measures addressed by them. In addition, the emergence of software defined network (SDN) architecture for security in IoT is explained based on literature. Finally, the applicability of SDN in LPWAN security, its opportunities, and challenges in implementation are discussed.

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“…In general, using private-key cryptography for data encryption is not a time-consuming process, and thus expends less energy than public-key cryptography. For example, the experimental results from Kim et al [27] showed that a public-key algorithm named the elliptic curve integrated encryption scheme (ECIES) consumes a thousand times more energy during the encryption process than the popular AES-128 private-key method. Even though a public-key algorithm can increase the security level by sacrificing a huge amount of energy, it is not a favorable choice for many wireless systems like CRNs.…”

Section: System Modelmentioning

confidence: 99%

Learning Frameworks for Cooperative Spectrum Sensing and Energy-Efficient Data Protection in Cognitive Radio Networks

Vinh

Koo

2018

Applied Sciences

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This paper studies learning frameworks for energy-efficient data communications in an energy-harvesting cognitive radio network in which secondary users (SUs) harvest energy from solar power while opportunistically accessing a licensed channel for data transmission. The SUs perform spectrum sensing individually, and send local decisions about the presence of the primary user (PU) on the channel to a fusion center (FC). We first design a new cooperative spectrum-sensing technique based on a convolutional neural network in which the FC uses historical sensing data to train the network for classification problem. The system is assumed to operate in a time-slotted manner. At the beginning of each time slot, the FC uses the current local decisions as input for the trained network to decide whether the PU is active or not in that time slot. In addition, legitimate transmissions can be vulnerable to a hidden eavesdropper, which always passively listens to the communication. Therefore, we further propose a transfer learning actor-critic algorithm for an SU to decide its operation mode to increase the security level under the constraint of limited energy. In this approach, the SU directly interacts with the environment to learn its dynamics (i.e., an arrival of harvested energy); then, the SU can either stay idle to save energy or transmit to the FC secured data that are encrypted using a suitable private-key encryption method to maximize the long-term effective security level of the network. We finally present numerical simulation results under various configurations to evaluate our proposed schemes.

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Power Adaptive Data Encryption for Energy-Efficient and Secure Communication in Solar-Powered Wireless Sensor Networks

Cited by 24 publications

References 24 publications

A Survey on Security Requirements for WSNs: Focusing on the Characteristics Related to Security

A Survey on Security Requirements for WSNs: Focusing on the Characteristics Related to Security

Security in Low Powered Wide Area Networks: Opportunities for Software Defined Network-Supported Solutions

Learning Frameworks for Cooperative Spectrum Sensing and Energy-Efficient Data Protection in Cognitive Radio Networks

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