Framework for Wireless Network Security Using Quantum Cryptography

Bhatia, Priyanka; Sumbaly, Ronak

doi:10.5121/ijcnc.2014.6604

Cited by 21 publications

(5 citation statements)

References 15 publications

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“…Miralem Mohic et al 5 described a simulated environment of a quantum key distribution network with several nodes and links. In this approach several routing protocols, packet delivery ratio and routing packets are analyzed to find a best solution to the large amount of routing data flowing through the WSN through the QKD network.…”

Section: Related Workmentioning

confidence: 99%

“…The WSN environment has many security issues being unable to secure the privacy of user data. One of the most serious security issues with WSN, which is vulnerable to a variety of privacy threatening attacks, one of which is a quantum computer attack that has occurred as a result of rapid advances in the use of quantum physics to break many than traditional algorithms 5 .…”

Section: Introductionmentioning

confidence: 99%

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Improving Wireless Sensor Network Security Using Quantum Key Distribution

Alhasnawy

AL-Mashanji

2023

Baghdad Sci.J

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Wireless Sensor Networks (WSNs) are promoting the spread of the Internet for devices in all areas of life, which makes it is a promising technology in the future. In the coming days, as attack technologies become more improved, security will have an important role in WSN. Currently, quantum computers pose a significant risk to current encryption technologies that work in tandem with intrusion detection systems because it is difficult to implement quantum properties on sensors due to the resource limitations. In this paper, quantum computing is used to develop a future-proof, robust, lightweight and resource-conscious approach to sensor networks. Great emphasis is placed on the concepts of using the BB84 protocol with the AES algorithm in WSN security. The results of analysis indicated a high level of security between the data by depending on the generation of secure keys, and reached an accuracy rate of about (80-95) % based on using NIST statistical. The efficiency of the work increased to 0.704 after using the Quantum Bit Error Rate equation, eventually increasing the network performance. This results in the reduction of the overall amount of energy, and the time required for performing the key exchange in the encryption and decryption processes decreased.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving Wireless Sensor Network Security Using Quantum Key Distribution

Alhasnawy

AL-Mashanji

2023

Baghdad Sci.J

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“…Encryption is the key to keep information more secure in a Wi-Fi network. However, commonly utilized known encryption techniques have big weaknesses and are susceptible by attackers via compromising confidentiality and risks [2]. WEP transfer data as 64 bit or 128 bit [3] but the actual transmission keys are 40 bits and 104 bits long where the other 24 bits is an Initialization Vector (IV) to send in the packet along with the data [4].…”

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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“…This logic composed of fuzzy sets, provides the concept of degrees of membership, which increases the number of possibilities that can be subject to research. This logic is perfect deal with uncertain risk come in project management [2].…”

Section: Related Workmentioning

confidence: 99%

“…Thus, due to the high probability of information compromise associated with Wi-Fi networks, various encryption methods have been developed. However, commonly utilized encryption methods are known to have weaknesses and are susceptible to attackers thereby compromising confidentiality [2].…”

Section: Introductionmentioning

confidence: 99%

Risk Surveillance Control of Wireless Security Attack with Fuzzy Rules

2017

IJSR

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Due to the rapid development of software's and algorithms that attack wireless connections, as well as risky challenges which encounter the data passing through this connection with the development of the potential capabilities of intruders, urgent manage risks of this wireless connections arises which it became necessary to analysis and protect this data. This paper propose a compromising way between protecting data from eavesdropping with intruding and risks. The paper introduces a new type of cryptographic algorithm that minimize these risks. The proposed rules that process these risks adopted on fuzzy theory. The target packets captured for local area network using WIRESSHARK free source software, then tested, and results discussed which concludes that minimizing risk for this network in diagnosed cases can be achieved via controlling transmitted data via the proposed encryption system. Matlab Guide toolbox 2013 and Laptop with Intel processor I5 with RAM 8GB was used.

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Framework for Wireless Network Security Using Quantum Cryptography

Abstract: ABSTRACT

Cited by 21 publications

References 15 publications

Improving Wireless Sensor Network Security Using Quantum Key Distribution

Improving Wireless Sensor Network Security Using Quantum Key Distribution

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

Risk Surveillance Control of Wireless Security Attack with Fuzzy Rules

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