Influence of Encryption Algorithms on Power Consumption in Energy Harvesting Systems

Vračar, Lj.M.; Stojanovic, M.; Stanimirović, Aleksandar; Prijić, Z.

doi:10.1155/2019/8520562

Cited by 9 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors in [67] compared the energy consumption of TEA, XTEA, and SKYPJACK for the 8-bit MCU PIC18F45K22 and ST-TX03-ASK 434 MHz radio module. XTEA had the best energetic performance for encrypting the data.…”

Section: Discussionmentioning

confidence: 99%

Discussion on Secure Standard Network of Sensors Powered by Microbial Fuel Cells

da Rocha,

Caruso,

Pereira

et al. 2023

Sensors

View full text Add to dashboard Cite

Everyday tasks use sensors to monitor and provide information about processes in different scenarios, such as monitoring devices in manufacturing or homes. Sensors need to communicate, with or without wires, while providing secure information. Power can be derived from various energy sources, such as batteries, electrical power grids, and energy harvesting. Energy harvesting is a promising way to provide a sustainable and renewable source to power sensors by scavenging and converting energy from ambient energy sources. However, low energy is harvested through these methods. Therefore, it is becoming a challenge to design and deploy wireless sensor networks while ensuring the sensors have enough power to perform their tasks and communicate with each other through careful management and optimization, matching energy supply with demand. For this reason, data cryptography and authentication are needed to protect sensor communication. This paper studies how energy harvested with microbial fuel cells can be employed in algorithms used in data protection during sensor communication.

show abstract

Section: Discussionmentioning

confidence: 99%

Discussion on Secure Standard Network of Sensors Powered by Microbial Fuel Cells

da Rocha,

Caruso,

Pereira

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Most of these schemes are based on asymmetric cryptography which will be based on Public Key Infrastructure (PKI) could be for securing the keys exchanged between the motes or securing the data from mobile adversaries [8]. Asymmetric key cryptographic measures are generally not preferred in wireless sensor networks because of their high usage of power [5]. Hence we have proposed a scheme that is based on symmetric key cryptography by properly handling the trade-off between power dissipation rate and underlying operations.…”

Section: Proposed Systemmentioning

confidence: 99%

“…needs to be done between the logic and power factor. In this view, we are proposing a symmetric key cryptosystem which is built using low power LFSRs [4], [5] and is a variation of A5 family-a standard stream cipher system [6].…”

mentioning

confidence: 99%

A Smart Cryptographic measure for Data Survivability in Unattended Wireless Sensor Networks

kumar*,

Linganagouda

2020

IJITEE

View full text Add to dashboard Cite

An Unattended Wireless Sensor Network (UWSN) wherein a sporadically visiting sink tries to collect data absorbed by the motes. This setup is most suitable in hostile environments where the collected valuable data becomes the target for a mobile adversary. Unattended sensors cannot instantly transmit collected data to some safe external entity. Though there is an intermittent visit by the sink, a powerful mobile adversary can easily compromise the valuable data collected by sensor nodes between the intervals. Therefore, the data needs to be preserved to be handed over to the sink in its next visit. This property of unattended WSN is called as Data Survivability. We propose a symmetric key cryptosystem that tackles sensor collected data erasure, modification, or disclosure as a support for data survivability in UWSNs. The proposed model has been designed using Linear Feedback Shift Registers (LFSRs) embodied with less power dissipation mechanism that operates on mask method. This is critical to any application running in unattended environments. We have compared our design with other standard works and have substantially proved the trustworthiness. Our work has been assessed using NIST test suite and found reliable.

show abstract

“…For example, many IoT devices are battery-operated, hence, they do not have sufficient processing capabilities for the conventional security mechanisms. For instance, the works in [5] and [6] show that the security overhead for implementing various encryption techniques in terms of processing time, Central Processing Unit (CPU) usage, Random Access Memory (RAM) usage, as well as the energy consumption during the implementation, are high in cost for resource constrained IoT devices. Therefore, it becomes infeasible to implement specific security mechanisms on certain IoT devices with low CPU or RAM capabilities.…”

Section: Motivationmentioning

confidence: 99%

Optimal Selection of IPsec-Based Security Mechanisms in Resource Constrained IoT Environment

Mahmoud¹

View full text Add to dashboard Cite

Internet of Things (IoT) is a modern-day technology that supports many different applications such as smart cities, e-health, and smart homes. However, the specific IoT nature of connecting various heterogeneous devices complicates the implementation of conventional security mechanisms. In this work, a device-based security approach has been proposed to assign optimal security mechanisms to the set of heterogeneous IoT devices based on their available resources and the system requirements. To achieve the proposed approach, the security overhead equation was formulated to include 3 parameters: RAM usage, energy consumption and throughput. A hardware implementation was used to measure these parameters and to calculate the security overhead for the tested security profiles. The Pareto frontline was used to select the optimal security mechanism that minimizes the security overhead per device while maximizing the system requirement. The selection algorithm was tested in a simulation of 50 heterogeneous devices that ran 30 security profiles.

show abstract

Influence of Encryption Algorithms on Power Consumption in Energy Harvesting Systems

Cited by 9 publications

References 13 publications

Discussion on Secure Standard Network of Sensors Powered by Microbial Fuel Cells

Discussion on Secure Standard Network of Sensors Powered by Microbial Fuel Cells

A Smart Cryptographic measure for Data Survivability in Unattended Wireless Sensor Networks

Optimal Selection of IPsec-Based Security Mechanisms in Resource Constrained IoT Environment

Contact Info

Product

Resources

About