scholarly journals Distributed Joins and Data Placement for Minimal Network Traffic

2018 ◽  
Vol 43 (3) ◽  
pp. 1-45 ◽  
Author(s):  
Orestis Polychroniou ◽  
Wangda Zhang ◽  
Kenneth A. Ross
2019 ◽  
Vol 2019 (3) ◽  
pp. 331-349
Author(s):  
Sajin Sasy ◽  
Ian Goldberg

Abstract Anonymous communications networks enable individuals to maintain their privacy online. The most popular such network is Tor, with about two million daily users; however, Tor is reaching limits of its scalability. One of the main scalability bottlenecks of Tor and similar network designs originates from the requirement of distributing a global view of the servers in the network to all network clients. This requirement is in place to avoid epistemic attacks, in which adversaries who know which parts of the network certain clients do and do not know about can rule in or out those clients from being responsible for particular network traffic. In this work, we introduce a novel solution to this scalability problem by leveraging oblivious RAM constructions and trusted execution environments in order to enable clients to fetch only the parts of the network view they require, without the directory servers learning which parts are being fetched. We compare the performance of our design with the current Tor mechanism and other related works to show one to two orders of magnitude better performance from an end-to-end perspective. We analyse the requirements to actually deploy such a scheme today and conclude that it would only require a small fraction (<2.5%) of the relays to have the required hardware support; moreover, these relays can perform their roles with minimal network bandwidth requirements.


2018 ◽  
Vol 9 (4) ◽  
pp. 34-51 ◽  
Author(s):  
E. Makri ◽  
J. ten Brinke ◽  
R. Evers ◽  
P. Man ◽  
H. Olthof

Occupancy estimation is becoming an increasingly popular research topic, as solutions can be deployed both to the challenges of demand-driven ambient comfort control applications, and to the challenges of building safety and security. With this article, the authors aim to estimate the number of people in a particular area of a building, using only existing infrastructure. To achieve this, information is collected from the Wi-Fi Access Points installed throughout a building, in such a way that the privacy of the persons using the Wi-Fi resources remains intact. While several approaches have been proposed to address the occupancy question, the main contribution lies in that the solution uses only standard Wi-Fi infrastructure, already deployed in any modern building. In addition, the authors claim that their solution comes at virtually zero cost, as their mechanisms add negligible network traffic, using minimal network and processing resources, and it does not require specialised hardware.


2019 ◽  
Vol 7 (5) ◽  
pp. 912-915
Author(s):  
Manoj Kumar ◽  
Amit Kishor
Keyword(s):  

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