Wireless sensor networks are infrastructure-less network with numerous sensors to detect environmental conditions. It passes the data to the base station or sinks through relay nodes. Wireless data communication and cryptographic techniques. It also deals with the classification of cryptographic techniques like symmetric key cryptography and asymmetric key cryptography. It explains the efficient Selective Encryption algorithm to minimize the processing time and improve the security against different attack. Energy optimization technique to reduce transmission power. Using the Modified Cuckoo Search Resource allocation (MCS-RA) approach, energy-saving gains of up to 10dB are obtained to the EEP method of network resource allocation and 1.5 dB more than the traditional resource allocation method UEP (GA).
Wireless sensor networks are infrastructure-less network with numerous sensors to detect environmental conditions. It passes the data to the base station or sinks through relay nodes. Wireless data communication and cryptographic techniques. It also deals with the classification of cryptographic techniques like symmetric key cryptography and asymmetric key cryptography. It explains the efficient Selective Encryption algorithm to minimize the processing time and improve the security against different attack. Energy optimization technique to reduce transmission power. Using the Modified Cuckoo Search Resource allocation (MCS-RA) approach, energy-saving gains of up to 10dB are obtained to the EEP method of network resource allocation and 1.5 dB more than the traditional resource allocation method UEP (GA).
Wireless sensor networks (WSNs) are quiet dynamic technology made up of discrete multi-function sensor nodes that interconnect wireless for short distances. WSNs have distinct traits as well as limitations that impede the development of efficient attack detection and prevention methods. Security in WSN is a more difficult task because of the processing limits of sensor nodes as well as the nature of wireless communications. The widespread WSNs usage has given development to several forms of threats. To guard against threats, appropriate security measures must be implemented. Cryptography, specifically encryption, plays a pivotal role in protecting data from unauthorized access. However, not all encryption methods are equally effective, as some exhibit vulnerabilities. Elliptic Curve Cryptography (ECC) is the most efficient option because of its reduced key size. Comprehensive safety despite lower key sizes leads to area as well as power efficient crypto systems. With recent technological advancements, traditional encryption no longer appears to be a safe solution for security and privacy of data. Quantum cryptography uses quantum physics processes to provide safe data transmission among sender and recipient. However, quantum cryptography comprises a revolution over network security field. Therefore, this research focuses on Quantum Key Distribution (QKD) with ECC for effective authentication, key management and energy conservation. Thus, the proposed QKD-ECC method is implemented and evaluated with traditional ECC and other cryptography method for better WSN security and privacy of data transmission.
Wireless sensor networks (WSNs) are quiet dynamic technology made up of discrete multi-function sensor nodes that interconnect wireless for short distances. WSNs have distinct traits as well as limitations that impede the development of efficient attack detection and prevention methods. Security in WSN is a more difficult task because of the processing limits of sensor nodes as well as the nature of wireless communications. The widespread WSNs usage has given development to several forms of threats. To guard against threats, appropriate security measures must be implemented. Cryptography, specifically encryption, plays a pivotal role in protecting data from unauthorized access. However, not all encryption methods are equally effective, as some exhibit vulnerabilities. Elliptic Curve Cryptography (ECC) is the most efficient option because of its reduced key size. Comprehensive safety despite lower key sizes leads to area as well as power efficient crypto systems. With recent technological advancements, traditional encryption no longer appears to be a safe solution for security and privacy of data. Quantum cryptography uses quantum physics processes to provide safe data transmission among sender and recipient. However, quantum cryptography comprises a revolution over network security field. Therefore, this research focuses on Quantum Key Distribution (QKD) with ECC for effective authentication, key management and energy conservation. Thus, the proposed QKD-ECC method is implemented and evaluated with traditional ECC and other cryptography method for better WSN security and privacy of data transmission.
Wireless sensor networks (WSNs) are systems made up of sensor nodes that communicate wirelessly over short distances, with adaptability and functionality at their coreessence. These networks have traits. Face challenges in devising effective strategies for identifying and thwarting attacks due to limitations, in individual sensor node processing power and the essence of wireless communication. Securing WSN poses a challenge given the constrained processing abilities of sensor nodes and the inherent nature of communication while facing various security threats that have emerged alongside the widespread adoption of these networks. To protect against these dangers it's crucial to put in place the security measures Encryption's key, to keeping data safe from unauthorized users Nevertheless not all encryption methods are equally strong as some are vulnerable Elliptic Curve Cryptography (ECC) is considered the best option due to its smaller key sizes offering strong security with efficiency in space and energy As technology advances conventional encryption techniques are seen as inadequate, for ensuring data privacy and security Utilizing principles from physics to ensure data transmission, between the sender and receiver is a groundbreaking advancement in network security known as quantum cryptography. Quantum Key Distribution (QKD) combined with ECC is highlighted in this study, for authentication processes, key management and energy efficiency. A novel method called QKD ECC has been put into practice. Compared against ECC and other encryption methods to bolster the security of WSN and safeguard the confidentiality of data exchange.
The requirement of efficient security protocols to protect confidential information from ever evolving cyber threat has been highlighted by the fast implementation of wireless sensor network (WSN) in numerous important domains, including healthcare monitoring, environmental surveillance and military operations. Despite their feasibility, traditional cryptographic approaches are utilized behind the computing capability of recent attackers, including the possibility of future quantum computer attacks. In order to revolutionize WSN security, this study proposes utilizing quantum cryptography and other concepts from quantum computing into the existing framework. This research leads to develop a communication protocol that is extremely safe and against the cyber-attacks. This protocol utilizes the quantum key distribution (QKD) to protect data and granting its confidential. In addition to improving security, the new architectures begin with change that makes WSN more capable of dependable and secure operations in environment where data protection is essential. A complete framework for protecting WSNs from new cyber threats in the future while keeping data transmissions and efficient process with reliability is discussed in this study. This proposed method enhances the dependencies in WSN installation across various industries, which is important for applications that need strong security measures. Evaluation results shows that the proposed method outperformed all existing methods in terms of relevant metrics.
Key management and quantum cryptography (QC) are very interesting and challenging areas in wireless sensor networks (WSN). In order to make secure communications around WSN, communication between sensor nodes and base station to sensor node communication should be handled carefully. Today’s security around WSN needs efficient key management protocol and QC involved with quantum mathematical procedures and quantum physics [1]. According to the key management analysis, computational complexities of conventional and potential cryptography are very high. In order to avoid high complexity in key management, QC can be used because it is involved with quantum computation [4][5]. Quantum key distribution (QKD) is already established with laws of quantum mechanics influenced to quantum computations for some networks such as fiber optic, satellite based communication etc. Therefore, efficient approach of QC will be analyzed to manage the keys with maximum security and less complexity. Key management protocol [2][3] in wireless networks is influenced with authentication which uses symmetric or asymmetric cryptography. Authentication and entities in upper layers use public key cryptography [6]. In this paper, we propose an enhanced version of key management and QC for WSN. Thus, we modify authentication protocol between the access points and wireless sensor network with symmetric polynomial based on QC approach. In modern QC, there are possibilities for which quantum computation techniques allow to expand the bandwidth. It is another interesting area in QC because bandwidth expansion will increase the level of security in WSN
Wireless Sensor Networks (WSNs) are self-organising networks designed for distributed data collection and communication. In this study, the application of quantum cryptography in WSNs is employed by employing quantum teleportation and quantum logic gates to securely transmit data from a source sensor node to a sink node. Specifically, the Toffoli and Peres gates were integrated with quantum teleportation to reduce network constraints and enhance security. The study propose a random Einstein–Podolsky–Rosen (EPR) pair allocation scheme to mitigate vulnerabilities arising from potentially compromised nodes. In this scheme, EPR-paradox pairs are preassigned as quantum bits to sensor nodes in a random manner. Quantum entanglement within these pairs, combined with quantum teleportation, establishes secure communication links across the wireless network. The results indicate that both Toffoli and Peres gates produce identical output expressions for data transmission between sensor nodes within the network. The proposed framework eliminates the need for traditional key exchange mechanisms, which are known to be vulnerable to interception and computational attacks