Authenticated Broadcast in Heterogeneous Wireless Sensor Networks using Chinese Remainder Theorem Algorithm

A scheme for WSNs (wireless sensor networks) security is given by dividing sensing tetrahedron into clusters and using the symmetric polynomials in this paper.The sensing tetrahedron is divided into a number of small grids.All those sensor nodes, both ordinary sensor nodes and heterogeneous sensor nodes are distributed in the sensing tetrahedron.In a grid, all ordinary sensor nodes and heterogeneous sensor nodes establish their shared keys through using the symmetric polynomials.All the heterogeneous sensor nodes establish their shared keys through using the symmetric polynomials.At last, all sensor nodes establish their keys directly or indirectly in the whole sensing tetrahedron.Analysis and comparison demonstrate this scheme enhances the WSN security, has good network connectivity, saves node storage, reduces network computing load, and extends the network lifetime.

In this paper we present a secure broadcast scheme for wireless sensor networks. The proposed scheme provides data confidentiality, data authentication, data integrity, and data freshness with low overhead and simple operation. Since it allows delayed and lost packets, the secure broadcast is supported. Furthermore, it eliminates the requirement of frequent key renewal to overcome a special limitation of the stream ciphers. Due to the simplicity, efficiency, and security, the proposed scheme is a competitive solution to provide secure broadcast in wireless sensor networks.

Broadcast is very important for delivering messages in wireless sensor networks. Reducing redundant retransmission to save network resource is a critical problem for broadcast. In this paper, a broadcast method basing on connected domination set and network coding is proposed. The simulation results show that the method can reduce the retransmission and save network resources efficiently in broadcast.

The security of Wireless Sensor Networks (WSNs) has a direct reliance on secure and efficient key management. This leaves key management as a fundamental research topic in the field of WSNs security. Among the proposed key management schemes for WSNs security, LEAP (Localized Encryption and Authentication Protocol) has been regarded as an efficient protocol over the last years. LEAP supports the establishment of four types of keys. The security of these keys is under the assumption that the initial deployment phase is secure and the initial key is erased from sensor nodes after the initialization phase. However, the initial key is used again for node addition after the initialization phase whereas the new node can be compromised before erasing the key. A time-based key management scheme rethought the security of LEAP. We show the deficiency of the time-based key management scheme and proposed a key management scheme for multi-phase WSNs in this paper. The proposed scheme disperses the damage resulting from the disclosure of the initial key. We show it has better resilience and higher key connectivity probability through the analysis.

Reliable bulk data propagation has become a critical need in wireless sensor networks. Most of the existing protocols are ARQ-based, in which receiving nodes use NACK to recover missing packets from the sender. In this paper, we propose an FEC-based scheme in order to reduce packet transmissions and latency in data propagation.We ran various simulations in TOSSIM. The results show that while integrated with Deluge, the FEC-based scheme brings 10%-15% reduction of packet transmissions and 40%-50% reduction of propagation latency in various networks, compared to basic Deluge.

Networking protocols for multihop wireless sensor networks (WSNs) are required to simultaneously minimize resource usage as well as optimize performance metrics such as latency and reliability. This article explores the energy-latency-reliability tradeoff for broadcast in WSNs by presenting a new protocol called PBBF . Essentially, for a given reliability level, energy and latency are found to be inversely related and our study quantifies this relationship at the reliability boundary. Therefore, PBBF offers an application designer considerable flexibility in the choice of desired operation points. Furthermore, we propose an extension to dynamically adjust the PBBF parameters to minimize the input required from the designer.

Data aggregation processes aim to reduce the amount of exchanged data in wireless sensor networks and consequently minimize the packet overhead and optimize energy efficiency. Securing the data aggregation process is a real challenge since the aggregation nodes must access the relayed data to apply the aggregation functions. The data aggregation security problem has been widely addressed in classical homogeneous wireless sensor networks, however, most of the proposed security protocols cannot guarantee a high level of security since the sensor node resources are limited. Heterogeneous wireless sensor networks have recently emerged as a new wireless sensor network category which expands the sensor nodes’ resources and capabilities. These new kinds of WSNs have opened new research opportunities where security represents a most attractive area. Indeed, robust and high security level algorithms can be used to secure the data aggregation at the heterogeneous aggregation nodes which is impossible in classical homogeneous WSNs. Contrary to the homogeneous sensor networks, the data aggregation security problem is still not sufficiently covered and the proposed data aggregation security protocols are numberless. To address this recent research area, this paper describes the data aggregation security problem in heterogeneous wireless sensor networks and surveys a few proposed security protocols. A classification and evaluation of the existing protocols is also introduced based on the adopted data aggregation security approach.

Key management is a major challenge to achieve security in wireless sensor networks. Previous research on sensor network security mainly considers homogeneous sensor networks, where all sensor nodes have the same capabilities. The recent research has shown that the survivability of the homogeneous sensor network can be improved if sensor nodes are grouped in clusters in which a powerful cluster head assigned. In this paper, we adopt a Heterogeneous Sensor Network (HSN) model for better performance and security. We proposed a novel key management scheme, which utilizes Elliptic Curve Cryptography and the t-degree trivariate symmetric polynomial in the design of an efficient key management scheme for sensor nodes. In addition, we also design a dynamic key update technique based on one-way hash chain and Time Slice mechanism which significantly reduced the communication overhead in key agreement and update phase. The performance evaluation and security analysis show that the proposed key management scheme can provide perfect resilience against node capture and scalability with significant saving on communication overhead and storage space.

Distributed key management is a major challenge in the design and deployment of secure wireless sensor networks (WSNs). In most existing distributed key management schemes, a common assumption is that all sensor nodes have the same capability. However, recent studies have demonstrated that heterogeneities of the sensor nodes, in particular the heterogeneities of energy capacity and transmission capability, can significantly improve the connectivity and lifetime of the WSNs. Consequently, it is important to design key management schemes for heterogeneous WSN (HWSN). In this paper, we provide a distributed key management scheme for HWSNs. The main contribution of this paper is to develop analytical models for evaluating the performance of the proposed scheme in terms of connectivity, reliability, and resilience. Extensive simulation results show that, with a small number of heterogeneous nodes, the WSN can achieve higher key connectivity, better reliability, and higher resilience. The results also show that our analytical models can accurately predict the performance under a variety of conditions

Wireless Sensor Networks (WSNs) are used for a wide range of things these days, from watching the environment to improving healthcare systems. But because these networks are used everywhere, they are also open to security risks like spying, data corruption, and node capture. It is very important to address these issues in order to protect the accuracy, privacy, and access of data being sent. Information-theoretic security looks like a good way to deal with these problems because it uses mathematical models to make sure that transmission in WSNs is safe and uses little energy. This essay goes into detail about information-theoretic security in WSNs. It gives a full rundown of the mathematical basics and real-world implications for getting strong security in places with limited resources. The idea of "secrecy capacity" is at the heart of this method. It measures the highest rate at which authorized nodes can communicate privately while preventing spying foes. Utilizing the chance that exists in wireless channels, encrypted keys can be generated without using shared secrets, making them resistant to attempts that try to steal them. Because sensor nodes only have a short power life, energy economy is very important in WSNs. Information-theoretic security methods, like physical layer security and joint communication, are designed to use as little energy as possible while still providing strong security. Nodes can work together to improve signal strength and fight channel fading using cooperative methods. This makes the network last longer without compromising security. This article also talks about the trade-offs between security, energy savings, and communication performance in WSNs. This helps us figure out how to make the best transfer schemes.

Enhancing cyber security in WSN using optimized self-attention-based provisional variational auto-encoder generative adversarial network

Wireless sensor networks (WSNs) are wireless ad hoc networks of tiny sensor nodes increasingly deployed for multiple civilian and military applications, including patient monitoring, wildlife monitoring, battlefield surveillance, enemy tracking, etc. Like other computer networks, WSNs must be provided of security services such as key management, confidentiality, integrity and authentication. However, the nature of WSNs and their operational requirements introduce new exciting challenges on security design. Key management is a fundamental security service and a hot topic of research in security for WSNs. In this paper, we will review the state of the art on key management for WSNs and provide a glimpse on current and future developments in this area.

Wireless sensor networks (WSNs) are becoming more prevalent in a wide range of uses, including tracking the environment, medical care, and military monitoring. Yet, security, energy efficiency, and overall efficiency are important concerns for these networks. Ensuring the security of data transmission while maintaining energy efficiency is critical for the longevity and reliability of WSNs. This paper proposes a novel method to enhance both security and efficiency in WSNs done the integration of metaheuristic optimization algorithms. The proposed method leverages advanced optimization techniques such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Ant Colony Optimization (ACO) to dynamically optimize key parameters, including node deployment, routing protocols, and encryption schemes. By optimizing the network topology, routing paths, and energy consumption strategies, the algorithm significantly improves data security, minimizes energy usage, and enhances network lifespan. The simulation results show that the suggested methodology beats standard methods in terms of throughput, security resilience and energy efficiency. The findings highlight the potential of metaheuristic optimization algorithms as a robust tool for improving WSN security and operational efficiency in real-world applications

Information attacks and security in wireless sensor networks of industrial SCADA systems

Security in sensor network is a key concern because of the absence of temperature-safe equipment and the transmission idea if Wireless Sensor Networking (WSNs). A WSN is made up of a collection of sensor nodes and some sink nodes. Users that are interested, receive information on the state of the physical environment from storage nodes. It’s employed in a variety of applications, including wellbeing observing, natural surrounding monitoring, military monitoring and environmental monitoring. The compute power, battery capacity and data storage of sensor nodes all are constrained. Independent sensor hubs are connected to at least one base station in the wireless sensor network. As wireless sensor network become more powerful, they become much more susceptible to threats and necessitating the use of powerful safety measures. Recognizing proof of adequate cryptography for remote sensor networks is a critical difficulty because to the limits of energy, compute, capacity and capacity resources of the sensor nodes. When the number of sensor hubs grows, symmetric cryptographic plans do not scale effectively. Openkey based plans will be widely used in the future. Because of a computer network cannot be entirely trusted, privacy must be secured. Secret key, Cryptography key and key management are used in this security technique. A digital key is obtained for each user to secure the system’s integrity. We compare and contrast two public key-based computations RSA and ECC, conclude that ECC outperforms RSA in terms of calculation time and amount of data conveyed and stored.