scholarly journals Prevention and Trust Evaluation Scheme Based on Interpersonal Relationships for Large-Scale Peer-To-Peer Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Lixiang Li ◽  
Jürgen Kurths ◽  
Yixian Yang ◽  
Guole Liu
Keyword(s):  
Interpersonal Relationships ◽  
Large Scale ◽  
Peer To Peer ◽  
Trust Evaluation ◽  
P2p Networks ◽  
Malicious Attacks ◽  
Evaluation Scheme ◽  
P2p System ◽  
Malicious Behaviors

In recent years, the complex network as the frontier of complex system has received more and more attention. Peer-to-peer (P2P) networks with openness, anonymity, and dynamic nature are vulnerable and are easily attacked by peers with malicious behaviors. Building trusted relationships among peers in a large-scale distributed P2P system is a fundamental and challenging research topic. Based on interpersonal relationships among peers of large-scale P2P networks, we present prevention and trust evaluation scheme, called IRTrust. The framework incorporates a strategy of identity authentication and a global trust of peers to improve the ability of resisting the malicious behaviors. It uses the quality of service (QoS), quality of recommendation (QoR), and comprehensive risk factor to evaluate the trustworthiness of a peer, which is applicable for large-scale unstructured P2P networks. The proposed IRTrust can defend against several kinds of malicious attacks, such as simple malicious attacks, collusive attacks, strategic attacks, and sybil attacks. Our simulation results show that the proposed scheme provides greater accuracy and stronger resistance compared with existing global trust schemes. The proposed scheme has potential application in secure P2P network coding.

scholarly journals Detection of DDOS attacks in distributed peer to peer networks

2018 ◽  
Vol 7 (2.7) ◽  
pp. 1051
Author(s):  
Gera Jaideep ◽  
Bhanu Prakash Battula
Keyword(s):  
High Risk ◽  
Large Scale ◽  
Peer To Peer ◽  
P2p Network ◽  
Ddos Attacks ◽  
P2p Networks ◽  
Distributed Environment ◽  
Trace Back ◽  
Peer To Peer Networks ◽  
Direct Attack

Peer to Peer (P2P) network in the real world is a class of systems that are made up of thousands of nodes in distributed environments. The nodes are decentralized in nature. P2P networks are widely used for sharing resources and information with ease. Gnutella is one of the well known examples for such network. Since these networks spread across the globe with large scale deployment of nodes, adversaries use them as a vehicle to launch DDoS attacks. P2P networks are exploited to make attacks over hosts that provide critical services to large number of clients across the globe. As the attacker does not make a direct attack it is hard to detect such attacks and considered to be high risk threat to Internet based applications. Many techniques came into existence to defeat such attacks. Still, it is an open problem to be addressed as the flooding-based DDoS is difficult to handle as huge number of nodes are compromised to make attack and source address spoofing is employed. In this paper, we proposed a framework to identify and secure P2P communications from a DDoS attacks in distributed environment. Time-to-Live value and distance between source and victim are considered in the proposed framework. A special agent is used to handle information about nodes, their capacity, and bandwidth for efficient trace back. A Simulation study has been made using NS2 and the experimental results reveal the significance of the proposed framework in defending P2P network and target hosts from high risk DDoS attacks.  

Impact of Depressive Symptoms on the Work-life Quality of Financial Workers in China

2009 ◽  
Vol 24 (S1) ◽  
pp. 1-1 ◽  
Author(s):  
X.-L. Wang
Keyword(s):  
Depressive Symptoms ◽  
Interpersonal Relationships ◽  
Turnover Intention ◽  
Large Scale ◽  
Univariate Analysis ◽  
Life Quality ◽  
Well Being ◽  
Work Life ◽  
The Impact

Depression cases have been reported among workers in the financial industries. Occupations in this industry are considered among the most stressful ones. This study aimed to examine the impact of depressive symptoms of financial workers in China on their productivity and well-being. A survey was conducted using a convenient sample of 1024 financial workers recruited from three large-scale financial organizations located in the north and south of China. The result of Hierarchical Regression Analyses shows that depressive symptoms of workers significantly impaired their work-life quality. Severity of depressive symptoms had significant positive relationships with three behavioral manifestations at works. These are, in order of decreasing effect size, turnover intention, presenteeism, and absenteeism. Specifically, depressive symptoms had a larger effect on presenteeism compared to absenteeism, which implies the unawareness or insufficient recognition of Chinese workers towards depression as an illness in comparison with other physical illnesses. Moreover, a Univariate Analysis was conducted to study the moderating effect of emotional labor on the relationship between the severity of depressive symptoms and presenteeism. An aggravating effect was found, displaying a greater damage of depressive symptoms to psychosocial functions of workers. Besides, depressive symptoms of workers also impaired their quality of life in aspects such as interpersonal relationships, life situation, and so on. This study provides evidence of impairments of depression in the workplace, urging the management to pay more attention to its employees' mental health no matter whether it is for the sake of the company's benefit or the employees' well-being.

Performance Analysis of Peer-to-Peer Traffic

2010 ◽  
pp. 1210-1215 ◽  
Author(s):  
Federico Montesino Pouzols ◽  
Angel Barriga Barros ◽  
Diego R. Lopez ◽  
Santiago Sánchez-Solano
Keyword(s):  
Performance Analysis ◽  
Large Scale ◽  
Content Distribution ◽  
Peer To Peer ◽  
P2p Networks ◽  
Recent Developments ◽  
Infrastructure Investments ◽  
Networked Organizations

Peer-to-peer (P2P) networks have recently emerged as an attractive solution to enable large-scale content distribution without requiring major infrastructure investments. Recent developments have led to a significant maturity increase of peer-to-peer technologies, which are currently available as tools for performing core tasks in virtual and networked organizations.

Peer-to-Peer Search Techniques for Service-Oriented Computing

2010 ◽  
pp. 44-63
Author(s):  
Lu Liu ◽  
Duncan Russell ◽  
Jie Xu
Keyword(s):  
Service Discovery ◽  
Large Scale ◽  
Resource Discovery ◽  
Peer To Peer ◽  
Great Success ◽  
P2p Networks ◽  
Search Techniques ◽  
P2p Systems ◽  
Service Oriented ◽  
And Performance

Peer-to-peer (P2P) networks attract attentions worldwide with their great success in file sharing networks (e.g., Napster, Gnutella, BitTorrent, and Kazaa). In the last decade, numerous studies have been devoted to the problem of resource discovery in P2P networks. Recent research on structured and unstructured P2P systems provides a series of useful solutions to improve the scalability and performance of service discovery in large-scale service-based systems. In this chapter, the authors systematically review recent research studies on P2P search techniques and explore the potential roles and influence of P2P networking in dependable service-based military systems.

Verification of Super-Peer Model for Query Processing in Peer-to-Peer Networks

2016 ◽  
pp. 306-332
Author(s):  
J. Pourqasem ◽  
S.A. Edalatpanah
Keyword(s):  
Distributed Systems ◽  
Query Processing ◽  
Large Scale ◽  
Peer To Peer ◽  
P2p Networks ◽  
Processing Methods ◽  
Super Node ◽  
And Performance ◽  
Processing Techniques ◽  
Super Peer

Equal peers in peer-to-peer (P2P) networks are the drawbacks of system in term of bandwidth, scalability and efficiency. The super-peer model is based on heterogeneity and different characteristics of peers in P2P networks. The P2P networks and large- scale distributed systems based on P2P networks use the super-peer model to design the query processing mechanism. This chapter first reviews the query processing methods in P2P networks, in which the authors classify theses query processing approaches in Unstructured and Structured mechanisms. Furthermore, the query processing techniques in distributed systems based on P2P networks are discussed. Afterward, authors concentrate on super-peer model to process the query of peers in P2P networks. Authors present the query processing methods in P2P-based distributed systems using the super node. Finally, the chapter provides some examples of each of the presented query processing techniques, and then illustrates the properties of each of them in terms of scalability and performance issues.

Deploying P2P networks for large-scale live video-streaming service [Peer-to-Peer Multimedia Streaming]

2007 ◽  
Vol 45 (6) ◽  
pp. 100-106 ◽  
Author(s):  
Yun Tang ◽  
Jian-Guang Luo ◽  
Qian Zhang ◽  
Meng Zhang ◽  
Shi-Qiang Yang
Keyword(s):  
Video Streaming ◽  
Large Scale ◽  
Peer To Peer ◽  
Multimedia Streaming ◽  
P2p Networks ◽  
Live Video ◽  
Live Video Streaming ◽  
Streaming Service

Assessment of quality of life in patients with the effects of transient ischemic stroke

2016 ◽  
pp. 37-39
Author(s):  
A. Babirad
Keyword(s):  
Quality Of Life ◽  
Ischemic Stroke ◽  
Large Scale ◽  
Cerebrovascular Diseases ◽  
Control Measures ◽  
Sociological Research ◽  
Cerebrovascular Events ◽  
Sf 36 ◽  
Angioplasty And Stenting

Cerebrovascular diseases are a problem of the world today, and according to the forecast, the problem of the near future arises. The main risk factors for the development of ischemic disorders of the cerebral circulation include oblique and aging, arterial hypertension, smoking, diabetes mellitus and heart disease. An effective strategy for the prevention of cerebrovascular events is based on the implementation of large-scale risk control measures, including the use of antiagregant and anticoagulant therapy, invasive interventions such as atheromectomy, angioplasty and stenting. In this connection, the efforts of neurologists, cardiologists, angiosurgery, endocrinologists and other specialists are the basis for achieving an acceptable clinical outcome. A review of the SF-36 method for assessing the quality of life in patients with the effects of transient ischemic stroke is presented. The assessment of quality of life is recognized in world medical practice and research, an indicator that is also used to assess the quality of the health system and in general sociological research.

Model and Method for Contributor’s Quality Assessment in Community Image Tagging Systems

2018 ◽  
pp. 45-51
Author(s):  
A. V. Ponomarev
Keyword(s):  
Large Scale ◽  
Wide Spectrum ◽  
Preference Relation ◽  
Pairwise Comparison ◽  
Ground Truth ◽  
Comparison Method ◽  
Characteristic Matrix ◽  
Image Tagging ◽  
Proposed Model

Introduction: Large-scale human-computer systems involving people of various skills and motivation into the information processing process are currently used in a wide spectrum of applications. An acute problem in such systems is assessing the expected quality of each contributor; for example, in order to penalize incompetent or inaccurate ones and to promote diligent ones.Purpose: To develop a method of assessing the expected contributor’s quality in community tagging systems. This method should only use generally unreliable and incomplete information provided by contributors (with ground truth tags unknown).Results:A mathematical model is proposed for community image tagging (including the model of a contributor), along with a method of assessing the expected contributor’s quality. The method is based on comparing tag sets provided by different contributors for the same images, being a modification of pairwise comparison method with preference relation replaced by a special domination characteristic. Expected contributors’ quality is evaluated as a positive eigenvector of a pairwise domination characteristic matrix. Community tagging simulation has confirmed that the proposed method allows you to adequately estimate the expected quality of community tagging system contributors (provided that the contributors' behavior fits the proposed model).Practical relevance: The obtained results can be used in the development of systems based on coordinated efforts of community (primarily, community tagging systems). 

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