Efficient and Secure Decentralized Network Size Estimation
نویسندگان
چکیده
The size of a Peer-to-Peer (P2P) network is an important parameter for performance tuning of P2P routing algorithms. This paper introduces and evaluates a new efficient method for participants in an unstructured P2P network to establish the size of the overall network. The presented method is highly efficient, propagating information about the current size of the network to all participants using O(|E|) operations where |E| is the number of edges in the network. Afterwards, all nodes have the same network size estimate, which can be made arbitrarily accurate by averaging results from multiple rounds of the protocol. Security measures are included which make it prohibitively expensive for a typical active participating adversary to significantly manipulate the estimates. This paper includes experimental results that demonstrate the viability, efficiency and accuracy of the protocol.
منابع مشابه
An efficient secure channel coding scheme based on polar codes
In this paper, we propose a new framework for joint encryption encoding scheme based on polar codes, namely efficient and secure joint secret key encryption channel coding scheme. The issue of using new coding structure, i.e. polar codes in Rao-Nam (RN) like schemes is addressed. Cryptanalysis methods show that the proposed scheme has an acceptable level of security with a relatively smaller ke...
متن کاملRobust state estimation in power systems using pre-filtering measurement data
State estimation is the foundation of any control and decision making in power networks. The first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. This paper introduces a new estimator which is able to detect bad data with few calculations without need for repetitions and estimation residual cal...
متن کاملA COMPREHENSIVE STUDY ON THE CONCRETE COMPRESSIVE STRENGTH ESTIMATION USING ARTIFICIAL NEURAL NETWORK AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM
This research deals with the development and comparison of two data-driven models, i.e., Artificial Neural Network (ANN) and Adaptive Neuro-based Fuzzy Inference System (ANFIS) models for estimation of 28-day compressive strength of concrete for 160 different mix designs. These various mix designs are constructed based on seven different parameters, i.e., 3/4 mm sand, 3/8 mm sand, cement conten...
متن کاملA Distributed Authentication Model for an E-Health Network Using Blockchain
Introduction: One of the most important and challenging areas under the influence of information technology is the field of health. This pervasive influence has led to the development of electronic health (e-health) networks with a variety of services of different qualities. The issue of security management, maintaining confidentiality and data integrity, and exchanging it in a secure environme...
متن کاملA Distributed Authentication Model for an E-Health Network Using Blockchain
Introduction: One of the most important and challenging areas under the influence of information technology is the field of health. This pervasive influence has led to the development of electronic health (e-health) networks with a variety of services of different qualities. The issue of security management, maintaining confidentiality and data integrity, and exchanging it in a secure environme...
متن کامل