Data Aggregation in Wireless Sensor Networks: From the Perspective of Security

Liu, Xiaowu; Yu, Jiguo; Li, Feng; Liu, Weifeng; Wang, Yinglong; Cheng, Xiuzhen

doi:10.1109/jiot.2019.2957396

Cited by 35 publications

(20 citation statements)

References 131 publications

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“…Here the length of integer part and fractional part of g and h are, L = 2 and K =2 respectively. The corresponding G and H vectors are G = [6,3,7,9] and H = [8,9,6,5]. The ciphertexts generated after encryption using (45) and (46) are, C1 =[ 55, 407,469,315,387,310] and C2 = [-58, 481, 313, 159, 253, 493].…”

Section: Fully Homomorphic Multiplicationmentioning

confidence: 99%

“…Randhawa and Jain [2] expalined current status and future directions in data aggregation in wireless sensor networks. In [3]- [5], the authors have comprehensively reviewed several secure data aggregation (SDA) schemes which include non-homomorphic as well as homomorphic methods. SDA using homomorphic methods based on matrix keys are described in [6]- [8].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A novel secure biomedical data aggregation using fully homomorphic encryption in WSN

Chethana

Padmaja

2021

IJEECS

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A new method of secure data aggregation for decimal data having integer as well as fractional part using homomorphic encryption is described. The proposed homomorphic encryption provides addition, subtraction, multiplication, division and averaging operations in the cipher domain for both positive and negative numbers. The scheme uses integer matrices in finite field Zp as encryption and decryption keys. An embedded Digital signature along with data provides data integrity and authentication by signature verification at the receiving end. The proposed scheme is immune to chosen plaintext and chosen ciphertext attacks. In the case of homomorphic multiplication, the ciphertext expansion ratio grows linearly with the data size. The computational complexity of the proposed method for multiplication and division is relatively less by 22.87% compared to Brakerski and Vaikantanathan method when the size of the plaintext data is ten decimal digits.

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Section: Fully Homomorphic Multiplicationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel secure biomedical data aggregation using fully homomorphic encryption in WSN

Chethana

Padmaja

2021

IJEECS

View full text Add to dashboard Cite

show abstract

“…Data aggregation methods were designed for multi-hop transmissions, where intermediate nodes can merge several messages received from neighbouring sensor nodes, and send them towards the sink node as a single packet [7][8][9]. As a result, the number of packets transmitted in the network is reduced.…”

Section: Data Aggregationmentioning

confidence: 99%

Classifier-Based Data Transmission Reduction in Wearable Sensor Network for Human Activity Monitoring

Lewandowski

Płaczek

Bernaś

2020

Sensors

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The recent development of wireless wearable sensor networks offers a spectrum of new applications in fields of healthcare, medicine, activity monitoring, sport, safety, human-machine interfacing, and beyond. Successful use of this technology depends on lifetime of the battery-powered sensor nodes. This paper presents a new method for extending the lifetime of the wearable sensor networks by avoiding unnecessary data transmissions. The introduced method is based on embedded classifiers that allow sensor nodes to decide if current sensor readings have to be transmitted to cluster head or not. In order to train the classifiers, a procedure was elaborated, which takes into account the impact of data selection on accuracy of a recognition system. This approach was implemented in a prototype of wearable sensor network for human activity monitoring. Real-world experiments were conducted to evaluate the new method in terms of network lifetime, energy consumption, and accuracy of human activity recognition. Results of the experimental evaluation have confirmed that, the proposed method enables significant prolongation of the network lifetime, while preserving high accuracy of the activity recognition. The experiments have also revealed advantages of the method in comparison with state-of-the-art algorithms for data transmission reduction.

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“…To reduce costs, manufacturers of sensor-node devices could neglect security. At the same time, sensor nodes are usually deployed in an open environment, which provides convenience for attackers ( Liu et al, 2020 ). WSNs face many security threats, including denial-of-service (DoS) attacks, node capture, malware infection, and others ( Souissi, Ben Azzouna & Ben Said, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Malware propagation model for cluster-based wireless sensor networks using epidemiological theory

Zhu

Huang

2021

PeerJ Computer Science

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Due to limited resources, wireless sensor network (WSN) nodes generally possess weak defense capabilities and are often the target of malware attacks. Attackers can capture or infect specific sensor nodes and propagate malware to other sensor nodes in WSNs through node communication. This can eventually infect an entire network system and even cause paralysis. Based on epidemiological theory, the present study proposes a malware propagation model suitable for cluster-based WSNs to analyze the propagation dynamic of malware. The model focuses on the data-transmission characteristics between different nodes in a cluster-based network and considers the actual application parameters of WSNs, such as node communication radius, node distributed density, and node death rate. In addition, an attack and defense game between malware and defending systems is also established, and the infection and recovery rates of malware propagation under the mixed strategy Nash equilibrium condition are given. In particular, the basic reproductive number, equilibrium point, and stability of the model are derived. These studies revealed that a basic reproductive number of less than 1 leads to eventual disappearance of malware, which provides significant insight into the design of defense strategies against malware threats. Numerical experiments were conducted to validate the theory proposed, and the influence of WSN parameters on malware propagation was examined.

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Data Aggregation in Wireless Sensor Networks: From the Perspective of Security

Cited by 35 publications

References 131 publications

A novel secure biomedical data aggregation using fully homomorphic encryption in WSN

A novel secure biomedical data aggregation using fully homomorphic encryption in WSN

Classifier-Based Data Transmission Reduction in Wearable Sensor Network for Human Activity Monitoring

Malware propagation model for cluster-based wireless sensor networks using epidemiological theory

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