Secure Publish-Subscribe Protocols for Heterogeneous Medical Wireless Body Area Networks

Picazo-Sanchez, Pablo; Tapiador, Juan E.; Peris-López, Pedro; Suárez-Tangil, Guillermo

doi:10.3390/s141222619

Cited by 35 publications

(28 citation statements)

References 45 publications

(65 reference statements)

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“…Additionally, the interest is getting more to join and help theoretical forensic-by-model as shown in [20]. In the present method of access control that is based on EBA [21], [22], sensors are required to encrypt IoT information with EBA method. User that is having the policies of access control can decrypt the information that is encrypted.…”

Section: Literature Surveymentioning

confidence: 99%

ESDAM - Efficient and Secure Data Aggregation against Malicious Nodes in Iot Environment

Veerabadrappa*¹,

Girisha²,

Marikannan³

2019

IJITEE

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Rapid expansion of IoT technologies and their devices has created the considerable convenience in the daily lives of the people. Modernization of technique in IoT has allowed them to perform just more than sensing that directly means the more energy consumption. It is a known fact that most of the IoT devices have the limited power supply and hence it is an obvious need to design the energy efficient model. Despite of IoT devices being so useful in daily life and in other industries, data security is one of the primary concern in the fields of IoT application such as healthcare, agriculture, defense etc., and it is a challenging task to provide the data security in these fields. In past, several methods have been proposed to address this challenge, however, either they failed to provide the security or they lack from the efficiency. In this paper, it introduces a methodology named as ESDAM (Efficient and Secure Data Aggregation against Malicious Nodes) that provides better security with improved efficiency. The proposed methodology is parted into two methods, which helps in discerning the malicious nodes. First method, is through extending coordinates and the second method, is through surveilling the adjacent nodes. Extensive simulation has been performed by applying various constraints through persuading various number of malicious and performance metrics such as energy utilization, number of failed nodes, packet mismatch rate and packet discern rate. The performance evaluation of the simulation results proves that proposed methodology performs better than the existing methods.

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Section: Literature Surveymentioning

confidence: 99%

ESDAM - Efficient and Secure Data Aggregation against Malicious Nodes in Iot Environment

Veerabadrappa*¹,

Girisha²,

Marikannan³

2019

IJITEE

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“…There are 4 CNs in the first cluster, and these CNs collect the data around them. Then, the data is encrypted according to formula (3). The plaintext and ciphertext of data are shown in Table 3.…”

Section: A Case Studymentioning

confidence: 99%

“…Recently, the wearable wireless sensors become powerful and rapidly expanding in healthcare monitoring [1][2][3]. The wearable sensors can be used to collect and transmit the data to the users.…”

Section: Introductionmentioning

confidence: 99%

A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor Networks

Zhang

2015

Journal of Electrical and Computer Engineering

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With the rapid development and widespread use of wearable wireless sensors, data aggregation technique becomes one of the most important research areas. However, the sensitive data collected by sensor nodes may be leaked at the intermediate aggregator nodes. So, privacy preservation is becoming an increasingly important issue in security data aggregation. In this paper, we propose a security privacy-preserving data aggregation model, which adopts a mixed data aggregation structure. Data integrity is verified both at cluster head and at base station. Some nodes adopt slicing technology to avoid the leak of data at the cluster head in innercluster. Furthermore, a mechanism is given to locate the compromised nodes. The analysis shows that the model is robust to many attacks and has a lower communication overhead.

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“…Two of the most known are PBC [18] and jPBC [9]. Others for example, have been proposed to target specifically computing constrained devices [1,17,22,26]. However, these APIs are mainly focused for layer 2 of Figure 1 and provide some specific implementations for layer 3, leading to a gap for an easy incorporation of PBC and ABE in IT information systems at layer 5.…”

Section: Introductionmentioning

confidence: 99%

DET-ABE: A Java API for Data Confidentiality and Fine-Grained Access Control from Attribute Based Encryption

Morales-Sandoval

Díaz-Pérez

2015

Information Security Theory and Practice

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Many works in the literature have proposed information security mechanisms relying on Paring Based Cryptography (PBC), for example, Ciphertext Policy Attribute Based Encryption (CP-ABE). However, a public set of software modules that allow integrating that kind of encryption for data security of information systems in an easy and transparent way is still missing. Available APIs like PBC (C-based) or jPBC (Java-based) are focused on low level arithmetic operations and several non trivial issues must still be addressed to integrate a functional PBC/ABE scheme into end-user applications for implementing end-toend encryption. We present a novel and portable Java library (API) to ensure confidentiality and access control of sensitive data accessed only by authorized entities having as credentials a set of attributes. Novel encryption and decryption processes are defined, using the digital envelope technique (DET) under a client-server computing model. The new DET-ABE scheme supports standard security levels (AES encryption) and provides the user with an easy interface for transparent use of next generation cryptography, hiding the complexity associated to PBC (field and group arithmetic, curve selection) and ABE (setup, key management, encryption/decryption details). Running times of main API's modules at server (ABE setup and key generation) and client (DET-ABE encryption/decryption) side are presented and discussed. From these results, it is concluded that the proposed API is easy to use and viable for providing confidentiality and access control mechanisms over data in end-user applications.

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Secure Publish-Subscribe Protocols for Heterogeneous Medical Wireless Body Area Networks

Cited by 35 publications

References 45 publications

ESDAM - Efficient and Secure Data Aggregation against Malicious Nodes in Iot Environment

ESDAM - Efficient and Secure Data Aggregation against Malicious Nodes in Iot Environment

A Secure Privacy-Preserving Data Aggregation Model in Wearable Wireless Sensor Networks

DET-ABE: A Java API for Data Confidentiality and Fine-Grained Access Control from Attribute Based Encryption

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