Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Enhancing Security in VANETs with Efficient Sybil Attack Detection using
  Fog Computing   Vehicular ad hoc networks (VANETs) facilitate vehicles to broadcast beacon
messages to ensure road safety. Rogue nodes in VANETs cause a Sybil attack to
create an illusion of fake traffic congestion by broadcasting malicious
information leading to catastrophic consequences, such as the collision of
vehicles. Previous researchers used either cryptography, trust scores, or past
vehicle data to detect rogue nodes, but they suffer from high processing delay,
overhead, and false-positive rate (FPR). We propose a fog computing-based Sybil
attack detection for VANETs (FSDV), which utilizes onboard units (OBUs) of all
the vehicles in the region to create a dynamic fog for rogue nodes detection.
We aim to reduce the data processing delays, overhead, and FPR in detecting
rogue nodes causing Sybil attacks at high vehicle densities. The performance of
our framework was carried out with simulations using OMNET++ and SUMO
simulators. Results show that our framework ensures 43% lower processing
delays, 13% lower overhead, and 35% lower FPR at high vehicle densities
compared to existing Sybil attack detection schemes.

23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
7
The categories of this paper are: hep-th
30
The categories of this paper are: q-alg
13
The categories of this paper are: quant-ph
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
5
The categories of this paper are: gr-qc
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
10
The categories of this paper are: q-bio