Implementation of an Evaluation Platform for Unwanted Traffic Control via Trust Management

2012 ◽  
Author(s):  
Yue Shen ◽  
Zheng Yan ◽  
Raimo Kantola
Keyword(s):  
Traffic Control ◽  
Trust Management ◽  
Evaluation Platform ◽  
Unwanted Traffic

A generic solution for unwanted traffic control through trust management

2013 ◽  
Vol 20 (1) ◽  
pp. 25-51 ◽  
Author(s):  
Zheng Yan ◽  
Raimo Kantola ◽  
Yue Shen
Keyword(s):  
Traffic Control ◽  
Trust Management ◽  
Generic Solution ◽  
Unwanted Traffic

Trust Management for Unwanted Traffic Control

2013 ◽  
pp. 94-129
Keyword(s):  
Traffic Control ◽  
Trust Management ◽  
Mobile Internet ◽  
The Internet ◽  
Prototype System ◽  
Malicious Attack ◽  
Simulation Based ◽  
And Behavior ◽  
Remote Communications ◽  
Unwanted Traffic

The Internet has become the backbone of remote communications, networking, and computing. It offers an incentive platform for many services and applications. People’s lives have been dramatically changed by the fast growth of the Internet. However, it also provides an easy channel for distributing contents that are unwanted by users. Unwanted traffic includes malware, viruses, spam, intrusions, unsolicited commercial advertisements, or unexpected contents. This chapter discusses applying trust management technology to automatically conduct unwanted traffic control in the Internet, especially the mobile Internet. The authors propose a generic unwanted traffic control solution through trust management. It can control unwanted traffic from its source to destinations in a personalized manner according to trust evaluation at a Global Trust Operator and traffic and behavior analysis at hosts. Thus, it can support unwanted traffic control in both a distributed and centralized manner and in both a defensive and offensive way. Simulation-based evaluation shows that the solution is effective with regard to accuracy and efficiency for Botnet intrusion and DDoS intrusion via reflectors. It is also robust against a number of malicious system attacks, such as hide evidence attack, bad mouthing attack, on-off attack, malicious attack of ISP, and combinations, which are playing in conjunction with various traffic intrusions. Meanwhile, the solution can provide personalized unwanted traffic control based on unwanted traffic detection behaviors. A prototype system is implemented to illustrate its applicability for SMS spam control.

Privacy-preserving trust management for unwanted traffic control

2017 ◽  
Vol 72 ◽  
pp. 305-318 ◽  
Author(s):  
Lifang Zhang ◽  
Zheng Yan ◽  
Raimo Kantola
Keyword(s):  
Traffic Control ◽  
Trust Management ◽  
Privacy Preserving ◽  
Unwanted Traffic

Analysis on the acceptance of Global Trust Management for unwanted traffic control based on game theory

2014 ◽  
Vol 47 ◽  
pp. 3-25 ◽  
Author(s):  
Yue Shen ◽  
Zheng Yan ◽  
Raimo Kantola
Keyword(s):  
Game Theory ◽  
Traffic Control ◽  
Trust Management ◽  
Unwanted Traffic

Unwanted Traffic Detection and Control Based on Trust Management

2016 ◽  
pp. 77-109 ◽  
Author(s):  
Zheng Yan ◽  
Raimo Kantola ◽  
Lifang Zhang ◽  
Yutan Ma
Keyword(s):  
Trust Management ◽  
And Control ◽  
Traffic Detection ◽  
Unwanted Traffic

Trust Management for Pervasive Social Networking

2013 ◽  
pp. 130-172
Keyword(s):  
Social Networking ◽  
Traffic Control ◽  
Trust Management ◽  
Ad Hoc ◽  
Social Environments ◽  
User Privacy ◽  
Face To Face ◽  
Self Organized ◽  
Social Communications ◽  
Hoc Networks

Self-organized networks based on mobile devices (e.g., Mobile Ad Hoc Networks [MANET]) are becoming a practical platform for pervasive social networking. People, either familiar or strangers, communicate with each other via such a network for instant social activities. How to help mobile users to build up trust in pervasive social networking is becoming an important and interesting issue. Trust concerns not only security, but also privacy, as well as quality of social networking experiences. It relates to many properties that are essential for establishing a trust relationship in ephemeral and dynamically changed pervasive social environments. This chapter reviews the literature with regard to how to build up trust in pervasive social networking. The authors explore whether pervasive social networking is demanded, considering many existing popular Internet social networking services. Based on a need assessment survey, they propose a trust management framework that supports context-aware trust/reputation generation, trustworthy content recommendations, secure communications, unwanted traffic control, user privacy recommendations, and secure face-to-face pervasive social communications. Simulations, prototype implementation, and user experiments further prove the effectiveness of the proposed solutions.

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