Decentralized Search on Decentralized Web

08/18/2018
by   Ziliang Lai, et al.
0

Decentralized Web, or DWeb, is envisioned as a promising future of the Web. Being decentralized, there are no dedicated web servers in DWeb; Devices that retrieve web contents also serve their cached data to peer devices with straight privacy-preserving mechanisms. The fact that contents in DWeb are distributed, replicated, and decentralized lead to a number of key advantages over the conventional web. These include better resiliency against network partitioning and distributed-denial-of-service attacks (DDoS), and better browsing experiences in terms of shorter latency and higher throughput. Moreover, DWeb provides tamper-proof contents because each content piece is uniquely identified by a cryptographic hash. DWeb also clicks well with future Internet architectures, such as Named Data Networking (NDN).Search engines have been an inseparable element of the Web. Contemporary ("Web 2.0") search engines, however, provide centralized services. They are thus subject to DDoS attacks, insider threat, and ethical issues like search bias and censorship. As the web moves from being centralized to being decentralized, search engines ought to follow. We propose QueenBee, a decentralized search engine for DWeb. QueenBee is so named because worker bees and honeycomb are a common metaphor for distributed architectures, with the queen being the one that holds the colony together. QueenBee aims to revolutionize the search engine business model by offering incentives to both content providers and peers that participate in QueenBee's page indexing and ranking operations.

READ FULL TEXT

page 1

page 2

research
12/02/2020

Web Crawler: Design And Implementation For Extracting Article-Like Contents

The World Wide Web is a large, wealthy, and accessible information syste...
research
05/04/2018

X-Search: Revisiting Private Web Search using Intel SGX

The exploitation of user search queries by search engines is at the hear...
research
01/29/2023

G-Rank: Unsupervised Continuous Learn-to-Rank for Edge Devices in a P2P Network

Ranking algorithms in traditional search engines are powered by enormous...
research
09/22/2017

Annotation based automatic action processing

With a strong motivational background in search engine optimization the ...
research
12/29/2021

Full-privacy secured search engine empowered by efficient genome-mapping algorithms

Since the 90s, keyword-based search engines have been helping people loc...
research
01/08/2021

Unveiling the I2P web structure: a connectivity analysis

Web is a primary and essential service to share information among users ...
research
08/05/2020

Framework for a Decentralized Web

Over the past decade, we have witnessed the Internet becoming increasing...

Please sign up or login with your details

Forgot password? Click here to reset