ISEFF: An ID-Based Scalable and EFficient Distributed File Sharing Technique in Vehicular Ad Hoc Networks

Ahmadifard, Nasrin; Nabizadeh, Hamid; Abbaspour, Maghsoud

doi:10.1007/s11277-013-1393-4

Cited by 11 publications

(6 citation statements)

References 13 publications

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“…N. Ahmadifard et al [163] propose a new file sharing protocol in the VANET (ISEFF) (i.e., Without infrastructure) using Bit torrent and consistent hashing to Improve sharing performance. This protocol is divided into five mechanisms: In terms of received file ratio, average download time, average file download, and control message overhead, this technique outperforms the P2P-based approach.…”

Section: One-tier Overlay Techniquesmentioning

confidence: 99%

“…A.A. Valibak el al [167] present a cooperative ITS in VANETs with the help of P2P communication (to improve [163]). This system has two purposes: finding the shortest path (i.e., time) for vehicles and routing the exchanged messages through the best-connected path simultaneously.…”

Section: Connectivity Probability Tablementioning

confidence: 99%

“…One-Tier Overlay Techniques AP2PNAVSC [160] CoFFee [161] GSP2PVITS [162] ISEFF [163] TPP2PVNTIDVN [164] DGT [165] NMEEP2PVN [166] OTPP2PVDTIRTT [167] PrEPARE [168] P2PTraf [169] Two-Tiers Overlay Techniques Social Cluster-based P2P Framework SCBP2PF [170] TwoTier p2p CS [171] Enhanced two-tier P2P ISS [172] NGBLSMS [173] ARA Two-Tier TIS [174] Two-Tier VANET/P2P SIRVE [175] ALPTTVPIRS [176] ACBS [177] ALTM [178] Multi-Layered Overlay Techniques GAP2PRDSS [179] Figure 28: Taxonomic of unstructured overlays techniques for VANET. [181] and deep learning (DL) [182] are powerful Artificial intelligence (AI) tools.…”

Section: Unstructured Overlays Techniques For Vanetmentioning

confidence: 99%

See 2 more Smart Citations

Peer-to-peer overlay techniques for vehicular ad hoc networks: Survey and challenges

Ameur

Lakas

Bachir

et al. 2022

Vehicular Communications

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Section: One-tier Overlay Techniquesmentioning

confidence: 99%

Section: Connectivity Probability Tablementioning

confidence: 99%

Section: Unstructured Overlays Techniques For Vanetmentioning

confidence: 99%

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Peer-to-peer overlay techniques for vehicular ad hoc networks: Survey and challenges

Ameur

Lakas

Bachir

et al. 2022

Vehicular Communications

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“…Note that the number of neighbor nodes is directly related to the communication range and traffic conditions in the roads. These parameters are widely overlooked in previous works in the area, for instance [10][11][12][13][14][15][16][17][18][19][20], but are crucial in the analysis presented in this paper.…”

Section: Introductionmentioning

confidence: 99%

Data Dissemination Performance in P2P-Based Vehicular Communications for Smart City Environments

Rivero-Ángeles

Orea-Flores

Lucas-Bravo

et al. 2022

Wireless Communications and Mobile Computing

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Peer-to-Peer (P2P) networks, as well as vehicular networks, have been extensively studied in the literature. However, the statistical characteristics of connection times among vehicles on the performance of a P2P network to allow Vehicle-to-Vehicle (V2V) communications have been largely overlooked. Specifically, the periods that vehicles remain connected to neighboring vehicles to directly communicate among them in different road characteristics (urban or highway) and road traffic conditions (low, medium, or high) are of main importance for the adequate performance of a P2P system. Indeed, these connection times establish the average number of peers and hence the bandwidth available in the communication system. These times have not been studied nor characterized before for the purpose of calculating the download probability and average download times, which are calculated in this work using a teletraffic analysis. We also present simulation results considering the CSMA/CA random access scheme established in the IEEE 802.11p communication protocol for V2V communications to investigate the effect of the random access protocol on the system performance.

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“…A possibility for IDS establishment in adhoc networks would be a node that has generally vast number of neighboring nodes situated inside its corresponding range . There ought to be various needs to cover every single participating nodes in the system, and these nodes need to speak with each other to pass on the neighborhood intrusion‐related data . Finding such nodes and enabling them to exchange information productively is not simple .…”

Section: Introductionmentioning

confidence: 99%

Secured and anonymous data transmission in Manet environment using zone‐based intrusion detection system

Soms¹,

Malathi²

2018

Concurrency and Computation

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Zone-based intrusion detection is a supporting protection mechanism for mobile adhoc environment consisting of large volume of distributed number of nodes. With the presence of malicious nodes, security will be violated, which is focused in proposed research by introducing Secured and Anonymous Zone-Based Intrusion Detection System (SAZIDS). Here, anonymous rule sharing is guaranteed by introducing the Anonymous Location-Aided Routing in MANET in which group signatures would be generated by all zone members based on group public key provided by the intra zone leader. Thus, the exact location of zone members cannot be revealed. To ensure the secured rule sharing, Enhanced Adaptive ACKnowledgment is utilized, which would ensure the presence of malicious nodes. This is done at the time of rule sharing by the intra zone leaders. After secured sharing of rule set, in order to optimize the memory storage, in this work, rule set aggregation is performed, which would merge the rules, thus resolving the bandwidth and associated memory issues. The overall evaluation of SAZIDS is performed in the NS2 simulation environment, which proves secured and reliable transmission of data without the involvement of malicious activities. KEYWORDS acknowledgement, Anonymization, data aggregation, memory overhead, zone based intrusion detection 1 INTRODUCTION Detecting intrusion in adhoc networks is harder compared to general systems. 1 In wired networks like LAN/WAN, a central infrastructure is available where network traffic flows are concentrated, 2 and an IDS (Intrusion Detection System) is introduced there. 3 In adhoc networks, there is no such a helpful point. A possibility for IDS establishment in adhoc networks would be a node that has generally vast number of neighboring nodessituated inside its corresponding range. 4 There ought to be various needs to cover every single participating nodes in the system, and these nodes need to speak with each other to pass on the neighborhood intrusion-related data. 5 Finding such nodes and enabling them to exchange information productively is not simple. 6 To exacerbate things, the nodes are mobile, and the system topology can change every now and again: it may rehash the hard procedure of setting up intrusion detection engineering over and over. 7A proficient strategy to recognize an attack when it happens in a MANET is the relationship of an Intrusion Detection System (IDS) with MANET. 8The IDS is a structure of combinatorial techniques for distinguishing any intelligent and unknown attacks in a secured MANET. 9 The framework does this activity of attack identification by analyzing every packet received in the environment and continuously monitoring the network traffic. 10 Deployment of Intrusion detection systems can be accomplished, either by running it in a controlled situation of multiple mobile nodes or by actuating it in a single mobile node. 11 In the last mentioned method, it will screen just its approaching activity on that specific node. These portable nodes can effectively educat...

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ISEFF: An ID-Based Scalable and EFficient Distributed File Sharing Technique in Vehicular Ad Hoc Networks

Cited by 11 publications

References 13 publications

Peer-to-peer overlay techniques for vehicular ad hoc networks: Survey and challenges

Peer-to-peer overlay techniques for vehicular ad hoc networks: Survey and challenges

Data Dissemination Performance in P2P-Based Vehicular Communications for Smart City Environments

Secured and anonymous data transmission in Manet environment using zone‐based intrusion detection system

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