Latest Research Topics On VANET Attacks

On The Detection Of Grey Hole And Rushing Attacks In

Self-driving Vehicular Networks

An intelligent Intrusion Detection System (IDS) which is based on

anomaly detection to protect external communications from grey hole

and rushing attacks can be presented. A feed-forward neural network

and a support vector machine can be used for the designing of the

intelligent IDS. The present system will use only significant

characteristics extracted from the trace file.

Impact Of Gray

Hole Attack In

VANET

In this topic, impact of the

gray hole attack on the

routing protocol AODV can

be examined. this observation

can be performed on four

different parameters i.e.

NRL, PDR, Throughput, and

Delay.

A Preventive Approach To Mitigate The Effects Of

Gray Hole Attack Using Genetic Algorithm

A unique solution to mitigate the effects of gray hole attack can be presented

in VANET. In this system, a node range of 20 to 80 can be taken over a

network with the height and width of 1000 meters. The system can be

evaluated ten times under the effects of gray hole attack.

Bayesian-based Model For A Reputation System In

Vehicular Networks

Here, a robust distributed reputation model based on Bayesian filter

can be proposed. The model will permit nodes to establish profiles

(such as malicious, honest) on their neighbors and to detect malicious

behaviors (e.g. black hole, gray hole).

An Intrusion Detection

System Against Black

Hole Attacks On The

Communication

Network Of Self-driving

Cars

In this topic, an intelligent

intrusion detection system (IDS)

for VANETs can be built that

will use a Proportional

Overlapping Scores (POS)

method to decrease the no. of

features that will extract from

the trace file of VANET behavior

and will be used for

classification.

A New Intrusion Detection Framework For Vehicular

Networks

A new Intrusion Detection Framework for Vehicular Networks

(IDFV) can be designed and implemented that will provide the

security against the most dangerous routing attacks such as

selective forwarding, black hole, wormhole, packets duplication

and resource exhaustion attacks that can target such networks.

A Novel Approach For Avoiding Wormhole Attacks In

VANET

In this topic, an efficient method to prevent wormhole attack can be

proposed in vehicular ad hoc networks. For this, packet leashes and

new method of authentication called HEAP can be used. Also, some

correction can be performed in packet leashes method.

Region Authority

Based Collaborative

Scheme To Detect

Sybil Attacks In

VANET

An improvement for the scheme

CP2DAP [1] can be proposed,

which can detect Sybil attacks by

the cooperation of a central

authority and a set of fixed nodes

called road-side units (RSUs). The

modification in the present system

is a region authority based

collaborative scheme for detecting

Sybil attacks and a revocation

method using bloom filter to

prevent further attacks from

malicious vehicles.

Sybil Attack Detection Using A Low Cost Short

Group Signature In VANET

In this topic, a secure protocol for solving two conflicting goals

privacy and Sybil attack in vehicle to vehicle (V2V)

communications in VANET can be proposed. The protocol will

base on the Boneh-Shacham (BS) short group signature scheme

and batch verification.

Isolation Of Sybil Attack In VANET Using Neighboring

Information

Here, a new technique can be proposed to detect and isolate Sybil

attack on vehicles resulting in network proficiency. It will work in

two-phases. In first phase RSU will register the nodes by identifying

their credentials offered by them. If they are successfully verified,

second phase will start & it will allot identification to vehicles.

Defense against Sybil

attack in vehicular ad

hoc network based on

roadside unit support

In this topic, a timestamp series

approach to protect against Sybil

attack in a vehicular ad hoc

network (VANET) based on

roadside unit support can be

proposed. This approach will

target the initial deployment

stage of VANET when basic

roadside unit (RSU) support

infrastructure is available and a

small fraction of vehicles have

network communication

capability.

Cross-layer Scheme For Detecting Large-scale

Colluding Sybil Attack In VANETs

A cross-layer scheme to enable the RSUs to identify such Sybil

vehicles can be proposed. Since Sybil vehicles do not exist in their

claimed locations, our scheme will base on verifying the vehicles'

locations.

A Traffic Flow Theory Aided Physical Measurement-based

Sybil Nodes Detection Mechanism In Vehicular Ad-hoc

Networks

A novel scheme to detect the Sybil nodes in VANETs can be presented. This

Sybil nodes detection scheme, Traffic Flow Theory Aided Physical

Measurement-Based Sybil Nodes Detection Mechanism in VANETs (PMSD),

will take benefits of un-modifiable physical measurements of the beacon

messages instead of key-based materials.

A Privacy Preserving

Solution For The

Protection Against Sybil

Attacks In Vehicular

Ad Hoc Networks

In this topic, a solution to

prevent and detect Sybil attacks

in VANETs can be presented.

The identification of attackers

will depend on two kinds of

authentication techniques. The

first will use RFID tags

embedded in the vehicle to

authenticate them to the RSU

and will obtain short lifetime

certificates. The second will use

certificates to authenticate

vehicles to their neighbors.

L-P2DSA: Location-based Privacy-preserving

Detection Of Sybil Attacks

An approach that will use infrastructures and localization of nodes

to detect Sybil attacks can be presented. Security and privacy are

two major concerns in VANETs. Regrettably, most privacy-

preserving schemes are prone to Sybil attacks, where a malicious

user pretends to be multiple vehicles. L-P2DSA will be an

improvement to C-P2DAP [3], as it will permit detecting Sybil

attacks while decreasing the load on the DMV.

A Novel Mechanism For Detecting DOS Attack In VANET

Using Enhanced Attacked Packet Detection Algorithm

(EAPDA)

In order to shelter the VANET from DOS attack, an Enhanced Attacked

Packet Detection Algorithm can be proposed which will prohibit the

deterioration of the network performance even under this attack. EAPDA not

only verify the nodes and detect malicious nodes but will also improve the

throughput with minimized delay thus security will be enhanced.

A Novel Mechanism Of

Detection Of Denial Of

Service Attack (Dos) In

VANET Using

Malicious And

Irrelevant Packet

Detection Algorithm

(MIPDA)

In this topic, an Malicious and

Irrelevant Packet Detection

Algorithm (MIPDA) can be

proposed which will be used to

analyze and detect the Denial-of

Service (DOS) attack. It will

reduce the overhead delay in the

information processing and will

increase the communication

speed and will enhance the

security in VANET.

IP-CHOCK (Filter)-based Detection Scheme For Denial

Of Service (Dos) Attacks In VANET

In this topic, the Bloom-filter-based detection method, which will

provide the availability of a service for the legitimate vehicles in

the VANET can be used to detect and protect against the IP

spoofing of addresses of the DOS attacks. This method will provide

a faster detection time, lower storage capacity and computational

cost.

Request Response Detection Algorithm For Detecting Dos

Attack In VANET

In this topic, a Request Response Detection Algorithm (RRDA) can be

proposed which will be used to detect DOS after APDA. This will increase the

response time and maximize the security in VANET.

Reference

Broadcast

Synchronization-

based Prevention

To Dos Attacks In

VANET

A new model for prevention of

DOS attacks in VANET can be

proposed and named as RBS

protocol. This model will

depend on the master chock

filter concept for filtration of

packets during busy traffic and

other attacks.

Early Detection Of DOS Attacks In VANET Using

Attacked Packet Detection Algorithm (APDA)

An Attacked Packet Detection Algorithm (APDA) can be proposed

which will be used to detect the DOS (Denial-of-Service) attacks

before the verification time. This will minimize the overhead delay

for processing and will enhance the security in VANET.

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