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For further details contact: N.RAJASEKARAN B.E M.S 9841091117,9840103301. IMPULSE TECHNOLOGIES, Old No 251, New No 304, 2nd Floor, Arcot road , Vadapalani , Chennai-26. www.impulse.net.in Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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The VANET has seen a boom in the distribution of significant source data,enabling connected vehicle communications to enhance roadway safety.Despite the potential for interesting applications invehicle networks,thereare still unresolved issues that have the potential to hinder bandwidth utilization once deployed. Specifically, insider assaults on VANET platforms such as Blackhole attemptscan completely stop vehicle-to-vehicle communications and impair the networks' performance level. In this study, we provide the blockchain-based decentralized trust scoring architecture for the participants in the network to identify existing and blacklisted insider adversaries in VANET. To address this concern, we suggest a two-level detection technique, in the first level neighboring nodes determine theirtrustworthiness and in the second level it aggregates trust scores for vehicle nodes using a consortium blockchain-based mechanism that uses authorized Road Side Units (RSUs) as consensus mechanism. The blacklisted node records are then periodically changed based on the trust scores supplied by the nearby nodes. In regards to the practical scope of the network, the experimental study demonstrates that the suggested solution is effective and sustainable. To improve packet delivery ratio and vehicle node security in the VANET, the blockchain-based Trust-LEACH routing technique has also been created. The performance analysis has been carried out for Computational cost analysis, Computational time for block creation, Network analysis, SecurityAnalysis, and MITM attack analysis. Additionally, we provide proof that the suggested approach enhances VANET reliability by thwarting and removing insider threat initiation nodes from its blacklist.
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The VANET has seen a boom in the distribution of significant source data,enabling connected vehicle
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For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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11
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
10
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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Advanced Privacy Scheme to Improve Road Safety in Smart Transportation Systems
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The VANET has seen a boom in the distribution of significant source data,enabling connected vehicle
communications to enhance roadway safety.Despite the potential for interesting applications invehicle
networks,thereare still unresolved issues that have the potential to hinder bandwidth utilization once
deployed. Specifically, insider assaults on VANET platforms such as Blackhole attemptscan completely
stop vehicle-to-vehicle communications and impair the networks' performance level. In this study, we
provide the blockchain-based decentralized trust scoring architecture for the participants in the network to
identify existing and blacklisted insider adversaries in VANET. To address this concern, we suggest a twolevel detection technique, in the first level neighboring nodes determine theirtrustworthiness and in the
second level it aggregates trust scores for vehicle nodes using a consortium blockchain-based mechanism
that uses authorized Road Side Units (RSUs) as consensus mechanism. The blacklisted node records are
then periodically changed based on the trust scores supplied by the nearby nodes. In regards to the
practical scope of the network, the experimental study demonstrates that the suggested solution is effective
and sustainable. To improve packet delivery ratio and vehicle node security in the VANET, the blockchainbased Trust-LEACH routing technique has also been created. The performance analysis has been carried
out for Computational cost analysis, Computational time for block creation, Network analysis,
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enhances VANET reliability by thwarting and removing insider threat initiation nodes from its blacklist.
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This document describes a study on developing a self-driving car prototype using deep reinforcement learning. The researchers used a deep Q-network (DQN) algorithm to train an agent to control a simulated car directly from sensor inputs like cameras. The DQN was able to successfully navigate the simulated environment and control the car without any knowledge of its dynamics. While the discrete state-space DQN achieved stable control, the researchers believe the work could be extended to use continuous action spaces to allow for varying speeds and improved reward functions. The document also provides background on deep learning, autonomous vehicles, and reviews related work applying reinforcement learning methods to autonomous driving tasks.
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33
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Overview of Trust and Cryptography in VANET
Vehicular Ad Hoc Network (VANET) is a more influential network in which vehicles depend on each other to communicate and for the secure exchange of the messages. With the improvement in the technology, mainly the vehicles are equipped with Wi-Fi and GPS devices to improve the traffic handling and road safety. But many vehicles may broadcast the bogus messages for their own purpose, so it needs a trustful environment and an effective trust management schemes to prevent the network from the various malicious attacks. Trust establishment is very challenging as the network is highly mobile and vehicles may come in or depart at any time. In this paper, we first discuss the VANET model to describe the environment, and then the trust management schemes to secure the network and lastly the various cryptography fundamentals for the fast and safe message transfer.
RELIABLE SOFTWARE FRAMEWORK FOR VEHICULAR SAFETY APPLICATIONS ON CLOUD
Vehicular Ad-hoc Networks (VANET’S) have become viable and valuable for their wide variety of novel
applications to improve driver’s experience. The topology of network is highly time varying due to high
mobility of vehicular nodes. This makes challenging to detect and diagnose errors in software
applications used in the vehicles. Software reliability in vehicles is critical factor and significant
challenge to be met. Misbehaving and faulty software applications in vehicle have to be detected and
diagnosed from disrupting operation as it is hard to address in life critical vehicular network
environment. The work proposes an advanced diagnostics system to be loaded in Road Side Units (RSU’s)
so that operating software is periodically transmits the codes generated by the vehicle configured with
OBD to the RSU for test. The software is diagnosed at the RSU accessing the data from cloud servers for
reliability. Later, a fixed patch is transmitted back to the vehicle via RSU’s. The result in this paper shows
the analysis of different temperature variables used in vehicles and are efficiently measured.
Using Computing Methods to Secure VANET
This document summarizes Dr. I.A. Sumra's research on using computing methods to secure vehicular ad hoc networks (VANETs). It discusses how VANETs work and their safety and non-safety applications. It also outlines key security requirements for VANETs like identification, authentication, privacy, and availability. The document then reviews various computing methods that could help secure VANETs, including cloud computing, grid computing, soft computing, trusted computing, quantum computing, pervasive computing, and their relationship to addressing security challenges in VANETs posed by dynamic topologies and attacker behaviors.
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Security in Vehicular Ad Hoc Networks through Mix-Zones Based PrivacyInternational Journal of Science and Research (IJSR)
Vehicular Networks (VNs) seek to provide, among other applications, safer driving conditions. Vehicles need to periodically broadcast safety messages providing precise position information to nearby vehicles. Recent advances in development of Wireless Communication in Vehicular Adhoc Network (VANET) has provided emerging platform for industrialists and researchers. Vehicular adhoc networks are multi-hop networks with no fixed infrastructure. As a result, the driver’s privacy is at stake. In order to mitigate this threat, while complying with the safety requirements of VNs, the creation of mix-zones security at appropriate places of the VN to prevent the attacks Vehicle. Propose to do so with the use of cryptography algorithm AES with zone based routing protocol, analytically how the combination of mix-zones into mix-networks brings forth location privacy in vehicle node. Finally, show by simulations that the proposed zone based security is effective in various scenarios.
Human Factors at TTI
The Human Factors Program is housed within the Center
for Transportation Safety at the Texas A&M Transportation
Institute (TTI). The goal of the program is to conduct basic and
applied research to measure driver performance and behavior
for varied driving situations, vehicle characteristics and roadway
environments. Researchers design and implement experiments with human subjects (including field and simulator studies) and survey subjects to identify driver safety issues, such as those related to traffic control devices, distraction and fatigue.
TTI’s experimental psychologists and industrial engineers have
conducted numerous studies related to driver response to
roadway geometric design; visibility and driver comprehension
of traffic control devices; driver distraction; and automotive
adaptive equipment for disabled drivers, older drivers and
short-statured drivers.
Vehicular adhoc network for communication
Vehicular ad hoc network is one of the most interesting research areas due to flexibility, low cost, high sensing fidelity, fault tolerance, creating many new and exciting application areas for remote sensing. So, it has emerged as a promising tool for monitoring the physical world with wireless sensor that can sense, process and communicate. Being ad-hoc in nature, VANET is a type of networks that is created from the concept of establishing a network of cars for a specific need or situation. VANETs have now been established as reliable networks that vehicles use for communication purpose on highways or urban environments. VANET considered as a distinct type of Mobile Ad Hoc Networks holds the opportunity to make peoples life and death decisions by predicting and helping the drivers and other people about the road safety and other critical conditions.
An Encryption Algorithm To Evaluate Performance Of V2v Communication In Vanet
1) The document discusses an encryption algorithm to evaluate the performance of vehicle-to-vehicle (V2V) communication in vehicular ad hoc networks (VANETs).
2) The algorithm uses private key encryption for V2V communication between two vehicles. The vehicles agree on random numbers and perform calculations to derive a shared secret key.
3) The performance of the encryption algorithm is evaluated using the QualNet network simulator.
Smart government transportation with cloud security
This document describes a proposed smart government transportation system that uses cloud computing and security. The system would allow users to generate passenger monthly passes online through an Android app, reducing paperwork and wait times. It uses GPS to track government vehicle locations and schedules. The system has separate logins for users and administrators. Users can renew passes and refill accounts as needed. Administrators can view user details and balances. Cloud security frameworks are used to securely maintain user data in the cloud. The system aims to provide efficient, reliable transportation services for the public.
Simulation Based Analysis of Bee Swarm Inspired Hybrid Routing Protocol Param...
Vehicular Ad-hoc Networks (VANET's) are basically emanated from Mobile Ad hoc networks (MANET's) in which
vehicles act as the mobile nodes, the nodes are vehicles on the road and mobility of these vehicles are very high. The main objective of
VANET is to enhance the safety and amenity of road users. It provides intelligent transportation services in vehicles with the
automobile equipment to communicate and co-ordinates with other vehicles in the same network that informs the driver’s about the
road status, unseen obstacles, internet access and other necessary travel service information’s. The evaluation of vehicular ad hoc
networks applications in based on the simulations. A Realistic Mobility model is a basic component for VANET simulation that
ensures that conclusion drawn from simulation experiments will carry through to real deployments. This paper attempts to evaluate the
performance of a Bee swarm inspired Hybrid routing protocol for vehicular ad hoc network, that protocol should be tested under a
realistic condition including, representative data traffic models, and the realistic movement of the mobile nodes which are the vehicles.
In VANET the simulation of Realistic mobility model has been generated using SUMO and MOVE software and network simulation
has been performed using NS2 simulator, we conducted performance evaluation based on certain metric parameters such as packet
delivery ratio, end-to-end delay and normalized overhead ratio.
Location Tracking and Smooth Path Providing System
This document describes a location tracking and route planning system that was created to address issues with GPS reliability and provide accurate travel routes. It uses machine learning and data science algorithms like Dijkstra's algorithm and Kalman filtering. The system takes a source and destination address from the user, processes the coordinates using graph networks and algorithms to find multiple routes and the shortest route. Kalman filtering is then applied to smooth the shortest route. The optimized route is plotted on a map along with nearby amenities, weather data, and travel time. The system aims to help traffic management and provide accurate paths to reduce travel efforts. It was implemented using Python libraries and APIs to retrieve location data, weather, and map features.
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Advanced Privacy Scheme to Improve Road Safety in Smart Transportation Systems
Advanced Privacy Scheme to Improve Road Safety in Smart Transportation Systems
Advanced Privacy Scheme to Improve Road Safety in Smart Transportation Systems
Advanced Privacy Scheme to Improve Road Safety in Smart Transportation Systems
Blockchain-Based Secure and Scalable Routing Mechanisms for VANETs Applications
Blockchain-Based Secure and Scalable Routing Mechanisms for VANETs Applications
BLOCKCHAIN-BASED SECURE AND SCALABLE ROUTING MECHANISMS FOR VANETS APPLICATIONS
BLOCKCHAIN-BASED SECURE AND SCALABLE ROUTING MECHANISMS FOR VANETS APPLICATIONS
IEEE PROJECT TITLES FOR BE, B.TECH, (CSE, IT) ME, M.TECH, MSC, MCA PROJECT TI...
IEEE PROJECT TITLES FOR BE, B.TECH, (CSE, IT) ME, M.TECH, MSC, MCA PROJECT TI...
Survey on Peer to Peer Car Sharing System Using Blockchain
Survey on Peer to Peer Car Sharing System Using Blockchain
RELIABLE SOFTWARE FRAMEWORK FOR VEHICULAR SAFETY APPLICATIONS ON CLOUD
RELIABLE SOFTWARE FRAMEWORK FOR VEHICULAR SAFETY APPLICATIONS ON CLOUD
Security in Vehicular Ad Hoc Networks through Mix-Zones Based Privacy
Security in Vehicular Ad Hoc Networks through Mix-Zones Based Privacy
An Encryption Algorithm To Evaluate Performance Of V2v Communication In Vanet
An Encryption Algorithm To Evaluate Performance Of V2v Communication In Vanet
Smart government transportation with cloud security
Smart government transportation with cloud security
Simulation Based Analysis of Bee Swarm Inspired Hybrid Routing Protocol Param...
Simulation Based Analysis of Bee Swarm Inspired Hybrid Routing Protocol Param...
Location Tracking and Smooth Path Providing System
Location Tracking and Smooth Path Providing System
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IMPULSE TECHNOLOGIES,
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For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
9
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
7
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
6
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
5
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
4
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
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12
The document describes a novel Concurrent Error Detection (CED) scheme to counter fault-based attacks against RSA encryption. The scheme exploits RSA's multiplicative homomorphic property by verifying if the product of encrypted messages equals the encryption of the product of plaintexts. If a mismatch occurs, all ciphertexts will be suppressed. This allows easy integration of fault attack resistance into architectures already resistant to other side-channel attacks like power analysis. The time and memory overhead can be traded off using a parameter k.
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This document discusses a new scheme called Flow Slice (FS) for load balancing traffic across multiple paths in multipath switching systems while maintaining packet order within each flow. FS splits each flow into slices at intervals larger than a threshold and balances load at a finer granularity. Analysis of internet traces shows FS achieves near-optimal load balancing with a slicing threshold of 1-4 ms while limiting out-of-order packets to negligible levels with modest hardware complexity. Simulation results validate the theoretical analyses.
30
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
29
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
28
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
27
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
9
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
8
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
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7
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IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
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6
This document proposes a two-step framework for efficient genre-specific semantic video indexing. The framework first classifies videos by genre, then applies genre-specific concept models to reduce the dataset and more accurately detect concepts like people. Experiments on a 28-hour dataset showed the two-step method was more efficient and effective than methods ignoring genre, with an 11.3% average performance loss when filtering 80% of the data for concept detection.
5
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IMPULSE TECHNOLOGIES,
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Arcot road ,
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Chennai-26.
www.impulse.net.in
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4
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IMPULSE TECHNOLOGIES,
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2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
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3
The document discusses a scheme for peer-to-peer (P2P) based multimedia sharing in online forums and user-generated content communities. It proposes a system called Multimedia Board (MBoard) to support sharing of multimedia like images and videos between users in a P2P fashion to reduce load on central servers. Analysis of data from Disney discussion boards showed properties of forum usage that informed the MBoard design. Simulation results using real traces demonstrated MBoard can significantly lower the load on servers while maintaining high quality of service for users.
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- 1. Impulse Technologies Beacons U to World of technology 044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in VSPN: VANET-based Secure and Privacy-preserving Navigation Abstract In this paper, we propose a navigation scheme that utilizes the online road information collected by a vehicular ad hoc network (VANET) to guide the drivers to desired destinations in a real-time and distributed manner. The proposed scheme has the advantage of using real-time road conditions to compute a better route and at the same time, the information source can be properly authenticated. To protect the privacy of the drivers, the query (destination) and the driver who issues the query are guaranteed to be unlinkable to any party including the trusted authority. We make use of the idea of anonymous credential to achieve this goal. In addition to authentication and privacy- preserving, our scheme fulfills all other necessary security requirements. Using the real maps of New York and California, we conducted a simulation study on our scheme showing that it is effective in terms of processing delay and providing routes of much shorter travelling time. Your Own Ideas or Any project from any company can be Implemented at Better price (All Projects can be done in Java or DotNet whichever the student wants) 1