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Privacy preservation in Ride-Hailing Services (RHS) is intended to protect privacy of drivers and riders. pRide, published in IEEE Trans. Vehicular Technology 2021, is a prediction based privacy-preserving RHS protocol to match riders with…

密码学与安全 · 计算机科学 2023-01-05 Shyam Murthy , Srinivas Vivek

A privacy-preserving Context-Aware Publish-Subscribe System (CA-PSS) enables an intermediary (broker) to match the content from a publisher and the subscription by a subscriber based on the current context while preserving confidentiality…

密码学与安全 · 计算机科学 2021-05-11 Srinivas Vivek

Recently, Xie et al. (IEEE Transactions on Information Forensics and Security, vol. 16, pp. 3068-3081, 2021) proposed a privacy-preserving Online Ride-Hailing (ORH) protocol that does not make use of a trusted third-party server. The…

密码学与安全 · 计算机科学 2021-12-14 Srinivas Vivek

In a typical ride-hailing service, the service provider (RS) matches a customer (RC) with the closest vehicle (RV) registered to this service. TRACE is an efficient privacy-preserving ride-hailing service proposed by Wang et al. in 2018.…

密码学与安全 · 计算机科学 2021-12-28 Deepak Kumaraswamy , Srinivas Vivek

Ride Hailing Services (RHS) have become a popular means of transportation, and with its popularity comes the concerns of privacy of riders and drivers. ORide is a privacy-preserving RHS proposed at the USENIX Security Symposium 2017 and…

密码学与安全 · 计算机科学 2021-12-28 Deepak Kumaraswamy , Shyam Murthy , Srinivas Vivek

Privacy preservation in Ride Hailing Services is intended to protect privacy of drivers and riders. ORide is one of the early RHS proposals published at USENIX Security Symposium 2017. In the ORide protocol, riders and drivers, operating in…

密码学与安全 · 计算机科学 2023-01-05 Shyam Murthy , Srinivas Vivek

Ride-sharing allows multiple persons to share their trips together in one vehicle instead of using multiple vehicles. This can reduce the number of vehicles in the street, which consequently can reduce air pollution, traffic congestion and…

密码学与安全 · 计算机科学 2019-05-27 Mahmoud Nabil , Ahmed Sherif , Mohamed Mahmoud , Ahmad Alsharif , Mohamed Abdallah

Peer-to-peer ridesharing (P2P-RS) enables people to arrange one-time rides with their own private cars, without the involvement of professional drivers. It is a prominent collective intelligence application producing significant benefits…

人工智能 · 计算机科学 2020-09-08 Filippo Bistaffa , Juan A. Rodríguez-Aguilar , Jesús Cerquides

We develop an event-driven Receding Horizon Control (RHC) scheme for a Ride Sharing System (RSS) in a transportation network where vehicles are shared to pick up and drop off passengers so as to minimize a weighted sum of passenger waiting…

系统与控制 · 电气工程与系统科学 2024-12-20 Rui Chen , Christos G. Cassandras

Ride-sharing is a service that enables drivers to share their trips with other riders, contributing to appealing benefits of shared travel costs. However, the majority of existing platforms rely on a central third party, which make them…

密码学与安全 · 计算机科学 2019-11-15 Mohamed Baza , Noureddine Lasla , Mohamed Mahmoud , Gautam Srivastava , Mohamed Abdallah

In sensor networks, nodes cooperatively work to collect data and forward it to the final destination. Many protocols have been proposed in the literature to provide routing and secure routing for ad hoc and sensor networks, but these…

网络与互联网体系结构 · 计算机科学 2015-12-23 Hamoinba Vebarin , Samourqi Difrawi

Ride-hailing is a sustainable transportation paradigm where riders access door-to-door traveling services through a mobile phone application, which has attracted a colossal amount of usage. There are two major planning tasks in a…

机器学习 · 计算机科学 2023-03-28 Dacheng Wen , Yupeng Li , Francis C. M. Lau

In Near-Neighbor Search (NNS), a new client queries a database (held by a server) for the most similar data (near-neighbors) given a certain similarity metric. The Privacy-Preserving variant (PP-NNS) requires that neither server nor the…

密码学与安全 · 计算机科学 2019-10-18 M. Sadegh Riazi , Beidi Chen , Anshumali Shrivastava , Dan Wallach , Farinaz Koushanfar

We study the problem of approximating Hamming distance in sublinear time under property-preserving hashing (PPH), where only hashed representations of inputs are available. Building on the threshold evaluation framework of Fleischhacker,…

计算复杂性 · 计算机科学 2025-03-25 Dongfang Zhao

Carpooling, or sharing a ride with other passengers, holds immense potential for urban transportation. Ridesharing platforms enable such sharing of rides using real-time data. Finding ride matches in real-time at urban scale is a difficult…

数据结构与算法 · 计算机科学 2020-02-20 Chinmoy Dutta

Applications providing location-based services (LBS) have gained much attention and importance with the notion of the internet of things (IoT). Users are utilizing LBS by providing their location information to third-party service…

密码学与安全 · 计算机科学 2025-01-23 Sonia Sabir , Inayat Ali , Eraj Khan

This paper introduces an efficient and spontaneous privacy-preserving protocol for vehicular ad-hoc networks based on revocable ring signature. The proposed protocol has three appealing characteristics: First, it offers conditional…

密码学与安全 · 计算机科学 2009-09-10 Hu Xiong , Matei Ripeanu , Zhiguang Qin

The on-demand mobility market, including ridesharing, is becoming increasingly important with e-hailing fares growing at a rate of approximately 130% per annum since 2013. By increasing utilization of existing vehicles and empty seats,…

密码学与安全 · 计算机科学 2023-05-29 Wanxin Li , Collin Meese , Hao Guo , Mark Nejad

Traditional Neighbor Discovery (ND) and Secure Neighbor Discovery (SND) are key elements for network functionality. SND is a hard problem, satisfying not only typical security properties (authentication, integrity) but also verification of…

密码学与安全 · 计算机科学 2025-07-09 Ahmed Mohamed Hussain , Panos Papadimitratos

A major feature of the emerging geo-social networks is the ability to notify a user when one of his friends (also called buddies) happens to be geographically in proximity with the user. This proximity service is usually offered by the…

数据库 · 计算机科学 2010-11-09 Sergio Mascetti , Dario Freni , Claudio Bettini , X. Sean Wang , Sushil Jajodia
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