A Survey on Network Layer Attacks and AODV Defense in Mobile Ad Hoc Networks

Saeed, Amna; Raza, Asad; Abbas, Haider

doi:10.1109/sere-c.2014.37

Cited by 5 publications

(5 citation statements)

References 7 publications

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“…Due to the revolution of science and technology, it's more difficult to take decision and its leads to the issue of unclear or not expected results are generated, and it is very hard to analysed [12]. Fuzzy concept has the capability to take decisions in a correct manner through a formal mathematics and logic; it generates the qualitative data or predicted data.…”

Section: Methodsmentioning

confidence: 99%

A Hybrid Intrusion Detection System for Mobile Adhoc Networks using FBID Protocol

Rajalakshmi¹,

Meena

2020

SCPE

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The security in a mobile ad hoc networks is more vulnerable and susceptible to the environment, because in this network no centralized environment for monitoring individual nodes activity during communication. The intruders are hacked the networks either locally and globally. Now a day’s mobile ad hoc network is an emerging area of research due to its unique characteristics. It’s more vulnerable to detect malicious activities, and error prone in nature due to their dynamic topology configuration. Based on their difficulties of intrusion detection system, in this paper proposed a novel approach for mobile ad hoc network is Fuzzy Based Intrusion Detection (FBID) protocol, to identify, analyze and detect a malicious node in different circumstances. This protocol it improves the efficiency of the system and does not degrade the system performance in real time.This FBID system is more efficient and the performance is compared with AODV, Fuzzy Cognitive Mapping with the following performance metrics: Throughput, Packet Delivery Ratio, Packets Dropped, Routing overhead, Propagation delay and shortest path for delivering packets from one node to another node. The System is robust. It produces the crisp output to the benefit of end users. It provides an integrated solution capable of detecting the majority of security attacks occurring in MANETs.

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Section: Methodsmentioning

confidence: 99%

A Hybrid Intrusion Detection System for Mobile Adhoc Networks using FBID Protocol

Rajalakshmi¹,

Meena

2020

SCPE

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“…According to the definition in their research paper, Blackhole attack drops all the packet what it receives except Routing Request (RREQ) packets even though their simulation results show considerable amount of data transaction in the presence of Blackhole attack. Authors in [16] conducted a study on few network layer attacks and routing protocols. Finally, they suggested some solutions for routing protocols to overcome network layer attacks through the literature survey.…”

Section: State-of-the-artmentioning

confidence: 99%

“…• Each attack advertises fake route during routing discovery [16], [20]. [23], [24] [14]- [17], [25] Ability to Can not Can Can communicate [13], [24] [14], [16] [12], [20], [25] with [25], [27] destination node…”

Section: ) Blackhole Attack 2) Grayhole Attack 3) Wormhole Attack 4)mentioning

confidence: 99%

“…Part of the Part of Both in the position network [13], [20] the network same network [14]- [17], [25] or different networks [25] Data in RREP False data True data False or true packets [13], [20] [14], [25], [26] data [ [16], [25] Network Entire network will be reduced will be reduced performance will collapse or network but network will [13], [20], [24] collapse after not collapse some period [28] [14]- [16] [24], [25] Table I shows differences and unique features between these attacks. Because of these unique features of each attack, they differ from one another.…”

Section: Attackermentioning

confidence: 99%

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Identifying the Impacts of Active and Passive Attacks on Network Layer in a Mobile Ad-hoc Network: A Simulation Perspective

Ahamed¹,

Fernando²

2020

IJACSA

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In this research, we attempted to investigate about the features and behaviors of network layer based active and passive attacks in Ad-hoc On-Demand Vector (AODV) routing protocol in Mobile Ad-hoc Networks (MANET). Through the literature survey, we try to understand the features of each attacks and examine the behaviors of these attacks through simulations via Network Simulator 2 (NS2). Blackhole, Grayhole and Wormhole attacks are used in this simulation study. Each attacks are introduced independently into the network to find the impacts on network performances that are evaluated through Packet Delivery Ratio (PDR), Average End-to-End Delay (AEED), Throughput, Average Data Dropping Rate (ADDR) and Simulation Processing Time at Intermediate Nodes (SPTIN). To obtain more accurate results, simulation parameters are maintained same in each simulation. A controller network is simulated to compare with each attack simulation. Simulations are repeated by changing the number of connected intermediate nodes (hops) in the network. We observed at collected data analysis, the lowest SPTIN in the network that contained a Blackhole or Grayhole attack out of these three attacks. The network which is affected by a Blackhole attack shows higher amount of ADDR than controller network. Furthermore data forwarding rate is higher in the network which is affected by a Wormhole attack. Finally, according to the simulation studies, we are able to understand that Blackhole and Grayhole attacks cause more damage to the network performances than Wormhole attacks.

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“…Instead, an active attack disrupts the operation of the protocol in order to degrade the network performance, gain unauthorized access, and restrict availability. A brief overview of several well-known routing attacks [5,6,7,8] is presented below. a) Passive Eavesdropping Attack: The purpose of eavesdropping attack is to listen the secret or confidential routing information that should be kept secret during the communication.…”

Section: Routing Attacks In Manetsmentioning

confidence: 99%

Secure routing protocols for mobile ad hoc networks

Moudni

Er-rouidi

Mouncif

et al. 2016

2016 International Conference on Information Technology for Organizations Development (IT4OD)

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Mobile Ad hoc NETwork (MANET) is a collection of self-organizing mobile nodes without any help of centralized administration or established infrastructure. Due to this characteristic, MANETs are particularly vulnerable to various security threats. In addition, the design of most MANET routing protocols assumes that there is no malicious node in the network. Hence, several efforts and researches have been made toward the design of a secure and robust routing protocol for ad hoc networks. In this paper, we discuss the major attacks that can target the operation of ad hoc routing protocol. A detailed survey of the well-known secured ad hoc routing protocols for mobile ad hoc networks is presented. In order to analyze the existent solutions for securing ad hoc routing protocols in a structured manner, we have classified them into three categories: solutions based on cryptography, solutions based on one-way hash chain and hybrid solutions. This paper also gives a brief summary and comparison of various protocols available for secured routing in MANET.

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A Survey on Network Layer Attacks and AODV Defense in Mobile Ad Hoc Networks

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Cited by 5 publications

References 7 publications

A Hybrid Intrusion Detection System for Mobile Adhoc Networks using FBID Protocol

A Hybrid Intrusion Detection System for Mobile Adhoc Networks using FBID Protocol

Identifying the Impacts of Active and Passive Attacks on Network Layer in a Mobile Ad-hoc Network: A Simulation Perspective

Secure routing protocols for mobile ad hoc networks

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