WEEK 4

By this week I have to be ready with my power point presentation. In the previous week(3rd week) I have submitted the proposal to the committee. once I got the approval I have to start the project

this week I kept time on gathering some of the links of the articles.i have submitted them to my supervisor ALI as I don’t have the access to the IEEE.

these are the links which I have given to project guide

“‘http://ieeexplore.ieee.org/abstract/document/7120028/

http://ieeexplore.ieee.org/document/6868377/—IP-CHOCK (filter)-Based detection scheme for Denial of Service (DoS) attacks in VANET

http://ieeexplore.ieee.org/document/6616194/——–A novel defense scheme against DDOS attack in VANET

http://ieeexplore.ieee.org/document/7917080/——–Autonomous Vehicle Security: A Taxonomy of Attacks and Defences

http://ieeexplore.ieee.org/document/6825181/—–A new anti-jamming strategy for VANET metrics-directed security defense

http://ieeexplore.ieee.org/document/6646505/———-Real-Time Detection of Denial-of-Service Attacks in IEEE 802.11p Vehicular Networks

http://ieeexplore.ieee.org/document/6694582/———An optimized adaptive algorithm for authentication of safety critical messages in VANET

http://ieeexplore.ieee.org/document/7568882/ message authentication for driverless cars

A taxonomy for DOS attacks in VANET———-http://ieeexplore.ieee.org/document/7011862/

http://ieeexplore.ieee.org/document/7158098/  — intrution detection system

http://ieeexplore.ieee.org/document/6897185/—–Reference broadcast synchronization-based prevention to DoS attacks in VANET

http://ieeexplore.ieee.org/document/7881182/ —-Protocol-Compliant DoS Attacks on CAN: Demonstration and Mitigation

http://ieeexplore.ieee.org/document/7485856/—–GDVAN: A New Greedy Behavior Attack Detection Algorithm for VANETs

http://ieeexplore.ieee.org/document/7797554/———–Jamming attack model and detection method for beacons under multichannel operation in Vehicular Networks

http://ieeexplore.ieee.org/document/7777191/———–Detection and identification of attacks in Vehicular Ad-Hoc NETwork

http://ieeexplore.ieee.org/document/7604962/————Hybrid intrusion detection in connected self-driving vehicles

http://ieeexplore.ieee.org/document/7564928/—————–A distributed prevention scheme from malicious nodes in VANETs’ routing protocols

http://ieeexplore.ieee.org/document/7518892/——–DoS attack on VANET routing and possible defending solutions – A survey

http://ieeexplore.ieee.org/document/7453358/——A novel mechanism for detecting DOS attack in VANET using Enhanced Attacked Packet Detection Algorithm (EAPDA)

http://ieeexplore.ieee.org/document/7444896/———A new security games based reaction algorithm against DOS attacks in VANETs

http://ieeexplore.ieee.org/document/7430705/—–Prediction of DoS attacks in external communication for self-driving vehicles using a fuzzy petri net modeL

http://ieeexplore.ieee.org/document/7029679/—-PBA: Prediction-Based Authentication for Vehicle-to-Vehicle Communications

http://ieeexplore.ieee.org/document/7245678/—–Secure Public Key Regime (SPKR) in vehicular networks

http://ieeexplore.ieee.org/document/7148411/——A novel mechanism of detection of denial of service attack (DoS) in VANET using Malicious and Irrelevant Packet Detection Algorithm (MIPDA)

http://ieeexplore.ieee.org/document/7037527/—Modeling and verification tools for jamming attacks in VANETs

http://ieeexplore.ieee.org/document/6940213/———An Efficient and Lightweight Intrusion Detection Mechanism for Service-Oriented Vehicular Networks

http://ieeexplore.ieee.org/document/7037603/—-Detecting greedy behavior by linear regression and watchdog in vehicular ad hoc networks

http://ieeexplore.ieee.org/document/7889391/———–An intrusion detection scheme for driverless vehicles based gyroscope sensor profiling”

I have ollected these articles from my project supervisor ali…..

I made my Powerpoint presentation I have to take the feedback from my project guide