The Experts below are selected from a list of 282 Experts worldwide ranked by ideXlab platform
N. Vidhya - One of the best experts on this subject based on the ideXlab platform.
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Query Profile Obfuscation for Secure Transaction
Data mining and knowledge engineering, 2013Co-Authors: R. Vijayalakshmi, A. Shamaladevi, N. VidhyaAbstract:This project focus on secure query Exchange between multiple system. So that, intermediate systems couldn’t predict the search categories preferred by the source point. In the proposed approach, we have initiated the methodology of enabling mutual privacy gain by enhancing their privacy protection through collaboration in query Exchanges. To this end, our approach starts with a mathematical formulation, involving the modeling of the users’ apparent profiles as probability distributions over categories of interest, and the measure of their privacy as the corresponding Shannon entropy. The question of which query categories to Exchange translates into finding optimization variables representing Exchange policies, for various optimization objectives based on those entropies, possibly under Exchange Traffic constraints.
Giotsas Vasileios - One of the best experts on this subject based on the ideXlab platform.
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O Peer, Where Art Thou? Uncovering Remote Peering Interconnections at IXPs
'Association for Computing Machinery (ACM)', 2019Co-Authors: Nomikos George, Kotronis Vasileios, Sermpezis Pavlos, Gigis Petros, Manassakis Lefteris, Dietzel Christoph, Konstantaras Stavros, Dimitropoulos Xenofontas, Giotsas VasileiosAbstract:Internet Exchange Points (IXPs) are Internet hubs that mainly provide the switching infrastructure to interconnect networks and Exchange Traffic. While the initial goal of IXPs was to bring together networks residing in the same city or country, and thus keep local Traffic local, this model is gradually shifting. Many networks connect to IXPs without having physical presence at their switching infrastructure. This practice, called Remote Peering, is changing the Internet topology and economy, and has become the subject of a contentious debate within the network operators' community. However, despite the increasing attention it attracts, the understanding of the characteristics and impact of remote peering is limited. In this work, we introduce and validate a heuristic methodology for discovering remote peers at IXPs. We (i) identify critical remote peering inference challenges, (ii) infer remote peers with high accuracy (>95%) and coverage (93%) per IXP, and (iii) characterize different aspects of the remote peering ecosystem by applying our methodology to 30 large IXPs. We observe that remote peering is a significantly common practice in all the studied IXPs; for the largest IXPs, remote peers account for 40% of their member base. We also show that today, IXP growth is mainly driven by remote peering, which contributes two times more than local peering
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O Peer, Where Art Thou?:Uncovering Remote Peering Interconnections at IXPs
'Association for Computing Machinery (ACM)', 2018Co-Authors: Nomikos Georgios, Kotronis Vasileios, Sermpezis Pavlos, Gigis Petros, Manassakis Lefteris, Dietzel Christoph, Konstantaras Stavros, Dimitropoulos Xenofontas, Giotsas VasileiosAbstract:Internet Exchange Points (IXPs) are Internet hubs that provide the switching infrastructure to interconnect networks and Exchange Traffic. While the initial goal of IXPs was to bring together networks residing in the same city or country, and thus keep local Traffic local, we observe that this model is gradually shifting. Many networks connect to IXPs without having physical presence at their switch(es). This practice, called Remote Peering, is changing the Internet topology and economy, and has become subject of a contentious debate within the network operators community. However, despite the increasing attention it is drawing, the understanding of the characteristics and impact of remote peering is limited. In this work, we remove the veil between remote peering and IXPs, by introducing and thoroughly validating a methodology for discovering remote peers at IXPs. We (i) infer remote peers globally, with high accuracy (>95%), (ii) study the evolution of remote peering in time, and (iii) evaluate its impact on Internet performance and resilience. We observe that remote peering is a significantly common practice in all the IXPs studied; for the largest IXPs, remote peers account for 40% of their member base. We also show that today IXP growth is mainly driven by remote peering, which contributes two times more than local peering
Fangchun Yang - One of the best experts on this subject based on the ideXlab platform.
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A Traffic congestion detection and information dissemination scheme for urban expressways using vehicular networks
Transportation Research Part C: Emerging Technologies, 2014Co-Authors: Quan Yuan, Zhihan Liu, Jinglin Li, Junming Zhang, Fangchun YangAbstract:The cooperative vehicle-infrastructure technologies have enabled vehicles to collect and Exchange Traffic information in real time. Therefore, it is possible to use Vehicular Ad-hoc NETworks (VANETs) for detecting Traffic congestion on urban expressways. However, because of the special topology of urban expressways (consisting of both major and auxiliary roadways), the existing Traffic congestion detection methods using VANETs do not work very well. In addition, the existing dissemination methods of congestion information lack the necessary control mechanism, so the information may be disseminated to irrelevant geographical areas. This paper proposes a congestion detection and notification scheme using VANETs for urban expressways. The scheme adopts a simplified Doppler frequency shift method to estimate and differentiate Traffic conditions for major and auxiliary roadways. Vehicular cooperation and human cognition are introduced to improve the estimation accuracy and to describe the overall Traffic conditions. Additionally, the scheme develops a spatial-temporal effectiveness model based on the potential energy theory to control the dissemination area and survival time of the congestion information. Meanwhile, the proposed scheme uses several broadcast control mechanisms to alleviate vehicular network congestion. Simulations through TransModeler indicate that our scheme ensures the accuracy of the estimation of congestion degree. Consequently, the scheme can provide effective references for driving decision-making and path-planning.
R. Vijayalakshmi - One of the best experts on this subject based on the ideXlab platform.
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Query Profile Obfuscation for Secure Transaction
Data mining and knowledge engineering, 2013Co-Authors: R. Vijayalakshmi, A. Shamaladevi, N. VidhyaAbstract:This project focus on secure query Exchange between multiple system. So that, intermediate systems couldn’t predict the search categories preferred by the source point. In the proposed approach, we have initiated the methodology of enabling mutual privacy gain by enhancing their privacy protection through collaboration in query Exchanges. To this end, our approach starts with a mathematical formulation, involving the modeling of the users’ apparent profiles as probability distributions over categories of interest, and the measure of their privacy as the corresponding Shannon entropy. The question of which query categories to Exchange translates into finding optimization variables representing Exchange policies, for various optimization objectives based on those entropies, possibly under Exchange Traffic constraints.
Ahmad Alwakeel - One of the best experts on this subject based on the ideXlab platform.
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VTC Fall - Fuzzy Logic-Based Broadcast in Vehicular Ad Hoc Networks
2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), 2016Co-Authors: Elnaz Limouchi, Imad Mahgoub, Ahmad AlwakeelAbstract:In vehicular networks, since many applications use multi-hop broadcast to Exchange Traffic and road information, broadcasting has become a critical component. In this paper using fuzzy logic techniques, we propose a receiver-based intelligent broadcast protocol. Relying on coverage, connectivity, and mobility factors calculated by a receiver node, the fuzzy logic system decides if the node is required to rebroadcast or not. Ns-3 simulations have been developed to investigate the effectiveness of our proposed system in terms of reachability, the average number of rebroadcasts per covered node, and bytes sent per covered node. The proposed protocol is shown to perform better than DTM, DADCQ, and SLAB protocols.
