scholarly journals An efficient random key distribution scheme for large-scale distributed sensor networks

2009 ◽  
Vol 4 (2) ◽  
pp. 162-180 ◽  
Author(s):  
Ashok Kumar Das
Keyword(s):  
Sensor Networks ◽  
Large Scale ◽  
Key Distribution ◽  
Distributed Sensor Networks ◽  
Distributed Sensor ◽  
Distribution Scheme

scholarly journals An Efficient Elliptic Curve based Key Management Scheme for Distributed Sensor Networks

2019 ◽  
Vol 4 (6) ◽  
pp. 111-116
Author(s):  
Porkodi Chinniah ◽  
Sangavai Krishnamoorthi
Keyword(s):  
Sensor Networks ◽  
Elliptic Curve ◽  
Key Management ◽  
Key Distribution ◽  
Secret Key ◽  
Distributed Sensor Networks ◽  
Prime Field ◽  
Distributed Sensor ◽  
Management Scheme ◽  
Key Management Scheme

Distributed Sensor Networks are broadly used in many applications and key distribution is a challenging task. In this work, a key management scheme is developed for distributed sensor networks based on elliptic curve cryptography over prime field. Key distribution among the nodes and interactive as well as non interactive protocols for agreement of common secret key for message transmission between two nodes are discussed. The probability for connectivity of the network generated according to the proposed key distribution scheme is discussed in detail. The implementation of the proposed scheme is done using NetSim interfaced with MATLAB. Connectivity of the network is also checked through eigenvalues of the Laplacian matrix of the network.   

Hierarchically Organized Bayesian Networks for Distributed Sensor Networks

2002 ◽  
Author(s):  
Torsten Licht ◽  
Abhijit Deshmukh
Keyword(s):  
Sensor Networks ◽  
Bayesian Networks ◽  
Large Scale ◽  
Security Assessment ◽  
Prior Beliefs ◽  
Distributed Sensor Networks ◽  
Distributed Sensors ◽  
New Formalism ◽  
Distributed Sensor ◽  
Or Groups

As sensor hardware becomes more sophisticated, smaller in size and increasingly affordable, use of large scale sensor networks is bound to become a reality in several application domains, such as vehicle condition monitoring, environmental sensing and security assessment. The ability to incorporate communication and decision capabilities in individual or groups of sensors, opens new opportunities for distributed sensor networks to monitor complex engineering systems. In such large scale sensor networks, the ability to integrate observations or inferences made by distributed sensors into a single hypothesis about the state of the system is critical. This paper addresses the sensor integration issue in hierarchically organized sensor networks. We propose a multi-agent architecture for distributed sensor networks. We present a new formalism to represent causal relations and prior beliefs of hierarchies of sensors, called Hierarchically Organized Bayesian Networks (HOBN), which is a semantic extension of Multiply Sectioned Bayesian Networks (MSBN). This formalism allows a sensor to reason about the integrity of a sensed signal or the integrity of neighboring sensors. Furthermore, we can also evaluate the consistency of local observations with respect to the knowledge of the system gathered up to that point.

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