Abstract
Bio-Inspired Approach Sybil Attack in AODV based MANET using BFO Algorithm
Highlights
Coli (Escherichia coli) is a type of bacteria that lives within the digestion tracts of healthy people and creatures in a complex environment that has been detailed by researchers within the region of organic sciences
This paper presents the Bacteria foraging optimization algorithm which is based on the Ad-Hoc on Demand Distance Vector (AODV) protocol to detect Sybil attack is an efficient manner in the whole network
SCOPE This paper analyzes the performance of the Bacteria Foraging Optimization algorithm (BFO) technique in Mobile Ad-hoc Network (MANET)
Summary
Wireless networks are computer networks that are connected by cables of any kind. The utilize of a wireless network empowers undertakings to maintain a strategic distance from the exorbitant handle of presenting cables into buildings or associations between different equipment areas [1]. B. Types of Attack In MANET Attacks can be classified in many categories like internal attacks, external attacks, active attacks, and passive attacks. A new node that's included in the organization can act as an attacker that has to pick up the get to a network. Active Attack In this attack, an attacker endeavors to modify the information being traded within the network. The foremost of the attackers are influencing the execution of ad hoc networks and execute malicious activities at the time of sending and accepting the data. The attackers are categorized according to a different layer of the network like a Black-hole attack, a worm-hole attack, a Sybil attack, a jellyfish attack, a gray hole attack, and Rushing attack [3] and so on because the different attacker clashes the organize execution at a different layer
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