Data Security via Public-Key Cryptography in Wireless Sensor Network

Sedghi, Amin Reza; KaghazGaran, Mohammad Reza

doi:10.5121/ijci.2013.2301

Cited by 5 publications

(1 citation statement)

References 27 publications

(6 reference statements)

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“…Its designs capable to reduce risks in various situations, such as a noise that affect the accuracy of data sent via investment of fuzzy scheme concepts to reduce all possible likelihood of risk levels. The objectives of various related techniques are to safe data transferred via wireless networks, therefore Sedghi and Kaghazgaran [7], introduces a public key cryptography to secure wireless network security.…”

Section: Introductionmentioning

confidence: 99%

Risk assessment optimization for decision support using intelligent model based on fuzzy inference renewable rules

Radhi

2020

IJEECS

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Due to the unreliability of wired communications and the risks of controlling the process of transmitting data besides the complications that affecting data protection and the high costs of systems infrastructure, led to use wireless communications instead of wires media, but these networks are vulnerable towards illegal attacks. The side effects of these attacks are modifying data or penetrate the security system and discover its weaknesses, which leads to great material losses. These risks and difficulties led to the reluctance of wires communications and propose intelligent techniques and robust encryption algorithms for preventing data transmitted over wireless networks to keep it safe from cyber security attacks. So, there is a persistent need for providing intelligent techniques and robust algorithms to preserve conveyed information using wireless network. This paper introduces scenario for proposing intelligent technique to increase data reliability and provides a new way to improve high level of protection besides reduces infrastructure cost. The proposed system relies on two models, where the first model based on producing a knowledge base of risk rules while the aim of the second module is a risk assessment outcomes and encryption process according to attacks type. In this system, reducing risks levels based on renewable rules whereas a novel security system established on non-periodic keys with unsystematic operations using fuzzy system. We concluded that the proposed system has the ability to protect the transmitted data, increases its reliability and reduce the potential risks. MATLAB Toolkit 2014 then Weka open source package was used in encryption and data mining for the proposed system.<iframe class="ginger-extension-definitionpopup" style="left: -91.5px; top: -78px; z-index: 100001; display: none;" src="chrome-extension://kdfieneakcjfaiglcfcgkidlkmlijjnh/content/popups/definitionPopup/index.html?title=Abstract&description=a%20concept%20or%20idea%20not%20associated%20with%20any%20specific%20instance"></iframe>

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Section: Introductionmentioning

confidence: 99%

Risk assessment optimization for decision support using intelligent model based on fuzzy inference renewable rules

Radhi

2020

IJEECS

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Threats to Wireless Sensor Networks and Approaches to Use Homomorphic Encryption to Secure Its Data

Babenko

Tolomanenko

2020

J. Phys.: Conf. Ser.

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The article considers the basic principles of building modern wireless sensor networks. The general structures of such networks, their application spheres, their strengths and weaknesses are considered. Special attention is paid to the problem of security of processed and transmitted data, as well as existing approaches to providing reliable cryptographic protection of these data in wireless sensor networks. It is shown that at working out of mechanisms of maintenance of protection of the information in sensor networks first of all it is necessary to consider restrictions inherent in such networks on volume of memory, speed of used processors, and also power consumption. This leads to a more careful and weighted choice of encryption algorithms for use in sensor networks, both for direct encryption of data collected and transmitted by sensor networks nodes, and for auxiliary functions such as calculating the optimal network route by routers that are part of sensor networks. The article focuses on the possibility of using homomorphic encryption systems to protect data collected by sensors and transmitted via wireless connections. The advantages of full and partial homomorphic encryption systems in terms of their application to sensor networks with sensors measuring environmental parameters are shown. The analysis showed that using partial homomorphic encryption over the Paye Cryptosystem to hide data in sensor networks had reasonable grounds.

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Digital Signature and Private Key Cryptography Mechanisms for Enhancing Node Authentication in WSN

Suriyakrishnaan¹,

Anusha

Sujatha

et al. 2023

2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)

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Data Security via Public-Key Cryptography in Wireless Sensor Network

Abstract: Abstract:Wireless Sensor Networks (WSN)

Cited by 5 publications

References 27 publications

Risk assessment optimization for decision support using intelligent model based on fuzzy inference renewable rules

Risk assessment optimization for decision support using intelligent model based on fuzzy inference renewable rules

Threats to Wireless Sensor Networks and Approaches to Use Homomorphic Encryption to Secure Its Data

Digital Signature and Private Key Cryptography Mechanisms for Enhancing Node Authentication in WSN

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