Secure Clustering Protocol Research Articles

Energy Efficient Approach with ANN based Intrusion Detection System for Securing Network and Route for Transmission in Wireless Sensor Network

The research focuses on hierarchical clustering-based intrusion detection using artificial neural networks (ANNs) for secure data transmission in wireless sensor networks (WSNs). WSNs consist of numerous tiny sensor nodes deployed to monitor environmental phenomena. These nodes face significant challenges, including restricted energy, memory space, communication range, and limited capacity for managing energy, storing, transmitting, and processing data. To address these limitations, a machine learning-based approach is proposed to detect intrusions and efficiently utilize energy by properly selecting cluster heads using a secure clustering protocol. The proposed method was implemented and tested using MATLAB software, employing the NSLKDD and UNSW-NB15 datasets for intrusion detection. The results demonstrated promising outcomes in detecting intruders and enhancing network efficiency, achieving a 92% packet delivery ratio (PDR) and 1.82 Mbps throughput. The study concludes that while WSNs are gaining popularity due to their simplicity, flexibility, and scalability, innovative solutions are necessary for efficient energy management and security. Future research should focus on advanced machine learning models, energy harvesting techniques, scalable protocols, real-time data processing, and integration with IoT platforms for broader applications and enhanced functionality.

SDA-RDOS: A New Secure Data Aggregation Protocol for Wireless Sensor Networks in IoT Resistant to DOS Attacks

In a typical Wireless Sensor Network (WSN), thousands of sensor nodes can be distributed in the environment. Then, each sensor node transmits its detected data to the base station with the help of cooperation. In this type of network, data aggregation protocols are used to increase the network’s lifetime and reduce each sensor node’s communication load and energy consumption. With Data Clustering, the density of data circulating in the network is reduced, thus increasing the network’s life. Energy, delay, and efficiency are essential criteria in Data Clustering; however, security is another crucial aspect to be considered. A comprehensive solution for secure data clustering has yet to be seen when the literature is examined. In the solutions developed, data availability, which means that the WSN is resistant to Denial of Service (DOS) attacks, has been neglected too much, even though confidentiality, integrity, and authentication are met with different algorithms. This study developed a comprehensive, secure clustering protocol by considering all security requirements, especially data availability. The developed protocol uses the blowfish encryption algorithm, EAX mode, and RSA algorithm. The proposed protocol was theoretically analyzed, empirically evaluated, and simulated from many perspectives. Comparisons were made with LSDAR, SUCID, and OOP-MDCRP protocols. As a result of the study, a comprehensive security solution is provided and more successful results were obtained according to Energy Efficiency, Network Lifetime, Average Delay, and Packet delivery ratio criteria.

An Evolutionary Game-Based Secure Clustering Protocol With Fuzzy Trust Evaluation and Outlier Detection for Wireless Sensor Networks

Trustworthy and reliable data delivery is a challenging task in Wireless Sensor Networks (WSNs) due to unique characteristics and constraints. To acquire secured data delivery and address the conflict between security and energy, in this paper we present an evolutionary game based secure clustering protocol with fuzzy trust evaluation and outlier detection for WSNs. Firstly, a fuzzy trust evaluation method is presented to transform the transmission evidences into trust values while effectively alleviating the trust uncertainty. And then, a K-Means based outlier detection scheme is proposed to further analyze plenty of trust values obtained via fuzzy trust evaluation or trust recommendation. It can discover the commonalities and differences among sensor nodes while improving the accuracy of outlier detection. Finally, we present an evolutionary game based secure clustering protocol to achieve a trade-off between security assurance and energy saving for sensor nodes when electing for the cluster heads. A sensor node which failed to be the cluster head can securely choose its own head by isolating the suspicious nodes. Simulation results verify that our secure clustering protocol can effectively defend the network against the attacks from internal selfish or compromised nodes. Correspondingly, the timely data transfer rate can be improved significantly.

A Secure Clustering Protocol With Fuzzy Trust Evaluation and Outlier Detection for Industrial Wireless Sensor Networks

Security is one of the major concerns in Industrial Wireless Sensor Networks (IWSNs). To assure the security in clustered IWSNs, this paper presents a secure clustering protocol with fuzzy trust evaluation and outlier detection (SCFTO). Firstly, to deal with the transmission uncertainty in an open wireless medium, an interval type-2 fuzzy logic controller is adopted to estimate the trusts. And then a density based outlier detection mechanism is introduced to acquire an adaptive trust threshold used to isolate the malicious nodes from being cluster heads. Finally, a fuzzy based cluster heads election method is proposed to achieve a balance between energy saving and security assurance, so that a normal sensor node with more residual energy or less confidence on other nodes has higher probability to be the cluster head. Extensive experiments verify that our secure clustering protocol can effectively defend the network against attacks from internal malicious or compromised nodes.

An efficient mobility aware stable and secure clustering protocol for mobile ADHOC networks

Energy efficiency and security are considered as two crucial issues in the design of MANET. In this paper, an energy efficient stable as well as secure clustering (EESSC) technique is presented for MANET. The presented EESSC technique makes use of fuzzy logic mechanism to select the cluster heads (CHs) properly by the use of five variables namely remaining energy level, node degree, distance, trust level and node mobility. In addition, a standby CH (SBCH) is also introduced to find useful in case of accidental cases like CH dies, CH moves out of the cluster or CH is comprises. In such case, SBCH is invoked to act as CH and again another SBCH is chosen. This process helps to achieve network availability with no disturbances along with the additional level of security. The simulation of the EESSC takes place under diverse aspects and the outcome verified the betterment of the presented model over the compared ones. From the simulation outcome, under the simulation time of 250 s, the CH changes takes place by 19 times whereas a maximum of 28 and 30 CHs were changed by the existing EWCA and EESSC methods respectively.

An Energy Efficient and Secure Clustering Protocol for Military based WSN

An Energy Efficient and Secure Clustering Protocol for Military based WSN

Designing Secure Clustering Protocol With The Approach Of Reducing Energy Consumption In Wireless Sensor Networks

In recent years, many researchers have focused on wireless sensor networks and their applications. To obtain scalability potential in these netwo rks most of the nodes are categorized as distinct groups named cluster and the node which is selected as cluster head or Aggregation Node offers the operation of data collection from other cluster nodes and aggregation and sending it to the rest of the net work. Clustering and data aggregation increase network scalability and cause that limited resources of the network are used well. However, these mechanisms also make several breaches in the network, for example in clustered networks cluster head nodes areconsidered Desirable and attractive targets for attackers since reaching their information whether by physical attack and node capturing or by other attacks, the attacker can obtain the whole information of corresponding cluster. In this study secure clust ering of the nodes are considered with the approach of reducing energy consumption of nodes and a protocol is presented that in addition to satisfying Advanced security needs of wireless sensor networks reduces the amount of energy consumption by the nodes. Due to network clustering there is scalability potential in such a network and According to frequent change of cluster head nodes load distribution is performed in the cluster and eventually increase the network lifetime.

Distributed Secure Clustering Protocol in Wireless Sensor Networks

PDF HTML阅读 XML下载 导出引用 引用提醒 一种无线传感器网络分布式安全成簇协议 DOI: 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: Supported by the National Natural Science Foundation of China under Grant No.60533110 (国家自然科学基金); the National Basic Research Program of China under Grant No.2006CB303000 (国家重点基础研究发展计划(973)); the Program for New Century Excellent Talents in University of Distributed Secure Clustering Protocol in Wireless Sensor Networks Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:分簇的层次型拓扑控制方式在无线传感器网络中得到广泛研究和应用.然而,由于传感器网络本身所具有的开放性和资源有限的特点,攻击者可以很容易对成簇协议实施有效的误用和破坏.因此,保证成簇协议安全性是其实际广泛应用的基本前提.针对成簇协议所面临的各种安全威胁,提出了一种分布式安全成簇协议,通过网络安全初始化、可信基站的随机数广播和单向密钥链技术来有效地抵御节点伪装和簇首占据攻击、簇成员恶意征募攻击和多重簇成员身份攻击.对协议的安全性和开销进行了广泛和深入的分析,证明了协议的安全性和有效性. Abstract:The cluster-based hierarchical topology control has been widely studied and applied in wireless sensor networks. But because of the open nature and limited resource of the sensor network, clustering protocols are vulnerable to the misuse and disruption attacks from the adversaries. As a result, the security of the clustering protocols is a basic requirement for its wide application. A distributed secure clustering protocol is proposed, in which the secure network initialization, random number broadcast from the base station and one-way hash chain are used to achieve the resiliency against possible attacks including node personating, cluster-head occupying, malicious cluster-member recruiting and multiple cluster-membership attacks. The security and cost of the protocol are evaluated and the results show the resiliency and efficiency of the proposed protocol. 参考文献 相似文献 引证文献