scholarly journals Method for Detecting Manipulated Compilation of Sensing Reports in Wireless Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-11
Author(s):  
Hae Young Lee

In cluster-based wireless sensor networks (WSNs), a few sensor nodes, including cluster heads (CHs), can be physically compromised by a malicious adversary. By using compromised CHs, the adversary can intentionally attach false message authentication codes into legitimate sensing reports in order to interrupt reporting of the real events. The existing solutions are vulnerable to such a type of security attacks, calledmanipulated compilation attacks(MCAs), since they assume that CHs are uncompromised. Thus, the reports manipulated by compromised CHs will be discarded by forwarding nodes or rejected at base stations, so that real events on the fields cannot be properly reported to the users. In this paper, the author proposes a method for the detection of MCAs in cluster-based WSNs. In the proposed method, every sensing report is collaboratively generated and verified by cluster nodes based on very loose synchronization. Once a cluster node has detected an MCA for a real event, it can reforward a legitimate report immediately. Therefore, the event can be properly reported to the users. The performance of the proposed method is shown with analytical and experimental results at the end of the paper.

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Ming Xia ◽  
Peiliang Sun ◽  
Xiaoyan Wang ◽  
Yan Jin ◽  
Qingzhang Chen

Localization is a fundamental research issue in wireless sensor networks (WSNs). In most existing localization schemes, several beacons are used to determine the locations of sensor nodes. These localization mechanisms are frequently based on an assumption that the locations of beacons are known. Nevertheless, for many WSN systems deployed in unstable environments, beacons may be moved unexpectedly; that is, beacons are drifting, and their location information will no longer be reliable. As a result, the accuracy of localization will be greatly affected. In this paper, we propose a distributed beacon drifting detection algorithm to locate those accidentally moved beacons. In the proposed algorithm, we designed both beacon self-scoring and beacon-to-beacon negotiation mechanisms to improve detection accuracy while keeping the algorithm lightweight. Experimental results show that the algorithm achieves its designed goals.


Author(s):  
Mumtaz Qabulio ◽  
Yasir Arfat Malkani ◽  
Muhammad S. Memon ◽  
Ayaz Keerio

Wireless sensor networks (WSNs) are comprised of large collections of small devices having low operating power, low memory space, and limited processing capabilities referred to as sensor nodes. The nodes in WSNs are capable of sensing, recording, and monitoring environmental conditions. Nowadays, a variety of WSNs applications can be found in many areas such as in healthcare, agriculture, industries, military, homes, offices, hospitals, smart transportation, and smart buildings. Though WSNs offer many useful applications, they suffer from many deployment issues. The security issue is one of them. The security of WSNs is considerable because of the use of unguided medium and their deployment in harsh, physically unprotected, and unattended environments. This chapter aims to discuss various security objectives and security attacks on WSNs and summarizes the discussed attacks according to their categories. The chapter also discusses different security protocols presented to prevent, detect, and recover the WSNs from various security attacks.


Author(s):  
Dina M. Ibrahim ◽  
Nada M. Alruhaily

With the rise of IOT devices and the systems connected to the internet, there was, accordingly, an ever-increasing number of network attacks (e.g. in DOS, DDOS attacks). A very significant research problem related to identifying Wireless Sensor Networks (WSN) attacks and the analysis of the sensor data is the detection of the relevant anomalies. In this paper, we propose a framework for intrusion detection system in WSN. The first two levels are located inside the WSN, one of them is between sensor nodes and the second is between the cluster heads. While the third level located on the cloud, and represented by the base stations. In the first level, which we called light mode, we simulated an intrusion traffic by generating data packets based on TCPDUMP data, which contain intrusion packets, our work, is done by using WSN technology. We used OPNET simulation for generating the traffic because it allows us to collect intrusion detection data in order to measure the network performance and efficiency of the simulated network scenarios. Finally, we report the experimental results by mimicking a Denial-of-Service (DOS) attack. <em> </em>


2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Zhihao Peng ◽  
Raziyeh Daraei ◽  
Seyed Mojtaba Ahmadpanahi ◽  
Amir Seyed Danesh ◽  
Safieh Siadat ◽  
...  

Nowadays, the expansion of desert areas has become one of the main problems in arid areas due to various reasons such as rising temperatures and vegetation fires. Establishment of wireless sensor networks in these areas can accelerate the process of environmental monitoring and integrate temperature and humidity information sending to base stations in order to make basic decisions on desertification. The main problem in this regard is the energy limitation of sensor nodes in wireless sensor networks, which is one of the main challenges in using these nodes due to the lack of a fixed power supply. Because the node consumes the most energy during data transmission, the node that transmits the most data or sends the packets over long distances runs out of energy faster than the others and the network work process is disrupted. Therefore, in this study, a density-based clustering approach is proposed to integrate data collected from the environment in arid areas for desertification. In the proposed method at each step, the node that has the most residual energy and is highly centralized will be selected to transfer information. The results of experiments for evaluating the performance of the proposed method show that the proposed method balances the energy consumption of the nodes and optimizes the lifespan of the nodes in the wireless sensor network installed in the arid area.


2018 ◽  
Vol 7 (2.32) ◽  
pp. 136 ◽  
Author(s):  
Riaz Shaik ◽  
Shaik Shakeel Ahamad

Wireless sensor networks are becoming part of many of the research areas to address different issues related to technological and societal. So, The developments in wireless communication technology have made the deployment of  wireless sensor nodes connected through wireless medium, known as wireless sensor networks. Wireless sensor networks have numerous applications in many fields like military , environmental monitoring , health , industry etc.. wireless sensor networks have more benefits over Wired networks .Though there are several advantages of wireless networks, they are prone to security issues. . Security became a major concern for wireless sensor networks because of the wider application. So ,this paper addresses the critical security issues of wireless sensor networks that may encounter in the different layers of the communication protocols like OSI.This paper presents a detailed review on the security issues and its challenges of the wireless sensor networks.  


Author(s):  
Tae Ho Cho ◽  
Su Man Nam

Wireless sensor networks (WSNs) suffer serious damage from false positive and negative attacks due to their hardware restrictions. The sensor network causes both unnecessary energy consumption and information loss through false reports and normal reports, which include false message authentication codes (MACs). A probabilistic voting-based filtering scheme (PVFS) effectively detects the two types of attacks through a pre-defined threshold, which is the number of detected false MACs in a report. Since the threshold significantly influences the ability to detect attacks, the sensor network should be simulated to ensure proper function. In this paper, we describe the development and simulation of a PVFS-based WSN using a discrete event system specification. The experimental results showed that PVFS with a threshold of 2 reduced energy usage by about 16% and improved the detected false reports as compared with a PVFS with a threshold of 3.


2018 ◽  
Vol 2 (4) ◽  
pp. 28-43 ◽  
Author(s):  
Ahmed S. Abu Daia ◽  
Rabie A. Ramadan ◽  
Magda B. Fayek

Wireless Sensor Networks (WSNs) are exposed to many security attacks, and it can be easily compromised. One of the main reasons for these vulnerabilities is the deployment nature, where sensor nodes are deployed without physical guarding duty. That makes the network susceptible to physical attacks. The communication nature between sensor nodes is another reason, where intruders can easily send/receive information if they are located in the network communication range. In this paper, most of the possible WSN attacks are discussed, different security services expected in WSN are explained, and trust-based solutions proposed in the literature are listed. Moreover, the state-of-the-art of the attacks’ mitigation and avoidance techniques are presented. Besides, this paper is enriched with a new classification of the WSNs attacks regarding attacks’ characteristics. It will be beneficial to researchers in the field of WSNs security if they can distinguish between different attacks that have common characteristics.


2018 ◽  
Vol 7 (2.4) ◽  
pp. 153
Author(s):  
Harkesh Sehrawat ◽  
Yudhvir Singh ◽  
Vikas Siwach

A Wireless Sensor Network (WSNs) is a collection of number of sensor nodes which are left open in an unsecured environment. Sensor nodes work and communicate together to attain the desired goals. They are placed at the locations where monitoring is otherwise impossible. Wireless Sensor Networks are resource constrained which may be computational power, memory capacity, battery power etc. As Wireless Sensor Networks are implemented in the unattended environment, they are prone to discrete type of security attacks. Because of their limitations these networks are easily targeted by intruders. Sinkhole attack is one of the security attacks which try to disturb the ongoing communication in wireless sensor network. In sinkhole attack, the intruder or the malicious node try to attract the network traffic towards itself, that sensor nodes will pass data packets through this compromised node thereby manipulating messages which sensor nodes are transferring to the base station. In this paper we analyze the impact of Sinkhole attack on AODV protocol under various conditions. We analyzed the impact of Sinkhole attack on AODV protocol with varying number of attacker nodes.  


Wireless sensor network research enriched with diverse applications from industry to daily life. Widespread of sensor-based applications mandated for user authentication and secure communication. However, sensor nodes are limited energy and resources and hence secure communication for sensor nodes became a challenging task. This paper presents a fast encryption scheme for secure communication in wireless sensor networks. The proposed scheme consists of three phases namely registration, network deployment, and data transmission. In this work, a Gaussian transposition cipher for the generation of strong key. This cipher uses Gaussian noise, modified rail fence cipher and transposition. Fast encryption has achieved using XOR-based encryption and hence the proposed scheme incurs low computational cost. The proposed scheme resistant to various security attacks.


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