Sensor Data Security Level Estimation Scheme for Wireless Sensor Networks

Ramos, Alex; Filho, Raimir Holanda

doi:10.3390/s150102104

Cited by 16 publications

(5 citation statements)

References 36 publications

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“…Alguns mecanismos são geralmente adotados para tentar garantir uma comunicação segura entre os dispositivos, como protocolos com criptografia, autenticação e atualização dos dados [Al-Janabi et al, 2017]. Entretanto, as redes de sensores sem fio têm vulnerabilidades, com ataques e mecanismos de segurança diferentes daqueles das redes tradicionais -devido às suas características peculiares como energia, memória e armazenamento limitados [Ramos e Filho, 2015].…”

Section: Segurança E Gerenciamento De Dados Médicosunclassified

Aplicações em redes de sensores na área da saúde e gerenciamento de dados médicos: tecnologias em ascensão

Santos¹,

Firmino²,

Soto³

et al. 2020

Minicursos SBCAS 2020

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Sensor networks have become increasingly popular in healthcare due to the widespread use of cell phones and accessories capable of capturing medical data and the growth of remote patient monitoring initiatives. Medical data captured by sensors are sensitive and require the guarantee of authenticity, confidentiality, and privacy in the context of the Brazilian regulations, according to "Lei Geral de Proteção de Dados" (LGPD). Besides, the management and guarantee of medical data interoperability depend on the use of syntax and semantics following international standards. Therefore, the cloud computing and the Internet of Things are enabling tools for digital technologies to improve patient care. In this chapter, we present and discuss sensor networks' main concepts and the collection, processing, and protection of data from sensitive medical data. Resumo As redes de sensores têm se tornado cada vez mais populares na área de saúde devido à ampla disseminação dos celulares e acessórios aptos a captar dados médicos e ao crescimento de iniciativas de monitoramento remoto de pacientes. Dados médicos são considerados dados sensíveis e como tal requerem a garantia de autenticidade, confidencialidade e privacidade no contexto da Lei Geral de Proteção de Dados (LGPD). Paralelamente, a gerência e garantia de interoperabilidade de dados médicos dependem do uso de sintaxe e semânticas de acordo com padronizações internacionais. Assim, a utilização da computação em nuvem e a Internet das Coisas são facilitadores para o desenvolvimento de tecnologias digitais para melhorar o atendimento ao paciente. Considerando esse cenário, este capítulo apresenta e discute os principais conceitos relacionados às redes de sensores e à coleta, tratamento e proteção de dados de médicos sensíveis.

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Section: Segurança E Gerenciamento De Dados Médicosunclassified

Aplicações em redes de sensores na área da saúde e gerenciamento de dados médicos: tecnologias em ascensão

Santos¹,

Firmino²,

Soto³

et al. 2020

Minicursos SBCAS 2020

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show abstract

“…This framework uses both reputation and risk to evaluate the trustworthiness of a sensor node [ 20 ]. Ramos et al presented a new comprehensive security estimation scheme for WSNs to ensure the sensor data security [ 21 ]. Sicaria et al presented the main research challenges and the existing solutions in the field of IoT security, identify open issues, and make suggestions for future research [ 22 ].…”

Section: Related Workmentioning

confidence: 99%

Trust Model of Wireless Sensor Networks and Its Application in Data Fusion

Chen

Tian

Chen

2017

Sensors

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In order to ensure the reliability and credibility of the data in wireless sensor networks (WSNs), this paper proposes a trust evaluation model and data fusion mechanism based on trust. First of all, it gives the model structure. Then, the calculation rules of trust are given. In the trust evaluation model, comprehensive trust consists of three parts: behavior trust, data trust, and historical trust. Data trust can be calculated by processing the sensor data. Based on the behavior of nodes in sensing and forwarding, the behavior trust is obtained. The initial value of historical trust is set to the maximum and updated with comprehensive trust. Comprehensive trust can be obtained by weighted calculation, and then the model is used to construct the trust list and guide the process of data fusion. Using the trust model, simulation results indicate that energy consumption can be reduced by an average of 15%. The detection rate of abnormal nodes is at least 10% higher than that of the lightweight and dependable trust system (LDTS) model. Therefore, this model has good performance in ensuring the reliability and credibility of the data. Moreover, the energy consumption of transmitting was greatly reduced.

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“…According to Binmore's method [54], rational numbers are assigned to reflect players' preferences ranked in (1) and (2). Then, after being multiplied with their least common factor, the values of payoff functions and , free of fractions, can be formed in Table 1.…”

Section: Stage Intrusion Detection Gamementioning

confidence: 99%

“…One of the major issues that we must face is how to guarantee security of WSNs before they are widely applied. Similar to traditional networks, there are to realize secure WSNs and prevention-and detection-based mechanisms [2][3][4][5][6][7][8]. The prevention-based mechanism, which aims to prevent any attack before it occurs, includes cryptography, key management, and authentication.…”

Section: Introductionmentioning

confidence: 99%

Quantal Response Equilibrium-Based Strategies for Intrusion Detection in WSNs

Shen

Huang

et al. 2015

Mobile Information Systems

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This paper is to solve the problem stating that applying Intrusion Detection System (IDS) to guarantee security of Wireless Sensor Networks (WSNs) is computationally costly for sensor nodes due to their limited resources. For this aim, we obtain optimal strategies to save IDS agents’ power, through Quantal Response Equilibrium (QRE) that is more realistic than Nash Equilibrium. A stage Intrusion Detection Game (IDG) is formulated to describe interactions between the Attacker and IDS agents. The preference structures of different strategy profiles are analyzed. Upon these structures, the payoff matrix is obtained. As the Attacker and IDS agents interact continually, the stage IDG is extended to a repeated IDG and its payoffs are correspondingly defined. The optimal strategies based on QRE are then obtained. These optimal strategies considering bounded rationality make IDS agents not always be inDefend. Sensor nodes’ power consumed in performing intrusion analyses can thus be saved. Experiment results show that the probabilities of the actions adopted by the Attacker can be predicted and thus the IDS can respond correspondingly to protect WSNs.

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Sensor Data Security Level Estimation Scheme for Wireless Sensor Networks

Cited by 16 publications

References 36 publications

Aplicações em redes de sensores na área da saúde e gerenciamento de dados médicos: tecnologias em ascensão

Aplicações em redes de sensores na área da saúde e gerenciamento de dados médicos: tecnologias em ascensão

Trust Model of Wireless Sensor Networks and Its Application in Data Fusion

Quantal Response Equilibrium-Based Strategies for Intrusion Detection in WSNs

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