Toward Privacy-preserving Content Access Control for Information Centric Networking

2014 ◽  
Author(s):  
Bing Li ◽  
Zhijie Wang ◽  
Dijiang Huang ◽  
Yan Zhu
Keyword(s):  
Access Control ◽  
Privacy Preserving ◽  
Information Centric Networking

Privacy Preserving Access Control in Service-Oriented Architecture

2016 ◽  
Author(s):  
Rohit Ranchal ◽  
Bharat Bhargava ◽  
Ruchith Fernando ◽  
Hui Lei ◽  
Zhongjun Jin
Keyword(s):  
Access Control ◽  
Service Oriented Architecture ◽  
Privacy Preserving ◽  
Service Oriented

scholarly journals A Register Access Control Scheme for SNR System to Counter CPA Attack Based on Malicious User Blacklist

2021 ◽  
Vol 13 (10) ◽  
pp. 262
Author(s):  
Jia Shi ◽  
Xuewen Zeng ◽  
Yang Li
Keyword(s):  
Access Control ◽  
System Component ◽  
Information Centric Networking ◽  
Collusion Attack ◽  
Malicious User ◽  
Malicious Behavior ◽  
Pollution Attack ◽  
Resolution System ◽  
Control Scheme ◽  
Registration Phase

Standalone Name Resolution (SNR) is an essential component of many Information-Centric Networking (ICN) infrastructures that maps and stores the mappings of IDs and locators. The delivery of data can be realized only when the name resolution process is completed correctly. It also makes the SNR become the key target of network attackers. In this paper, our research focuses on the more covert and complex Content Pollution Attack (CPA). By continuously sending invalid content to the network at a low speed, attackers will consume a lot of the resources and time of the SNR system, resulting in a serious increase in the resolution delay of normal users and further cache pollution in ICN. It is difficult to be quickly detected because the characteristics of attack are inconspicuous. To address the challenge, a register access control scheme for an SNR system based on a malicious user blacklist query is proposed. A neighbor voting algorithm is designed to discover possible attacks in the network quickly and build a blacklist of malicious users reasonably. Users on the blacklist will be restricted from accessing the ICN network during the registration phase with the resolution system. Incentives and punishments for network users are introduced to automate responses about the potential malicious behavior reports. Our scheme is more efficient as users do not have to wait for an additional system component to perform operations. In addition, our algorithm can better solve the collusion problem in the voting process when compared with the others. We experimentally evaluate our protocol to demonstrate that the probability of successful collusion attack can be reduced to less than 0.1 when the attacker ratio is 0.5.

Sign in / Sign up

Export Citation Format

Share Document