Fine-Grained Analysis of Packet Loss in MANETs

Khan, Muhammad Saleem; Midi, Daniele; Khan, Majid Iqbal; Bertino, Elisa

doi:10.1109/access.2017.2694467

Cited by 26 publications

(8 citation statements)

References 26 publications

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“…Novel based honey pot method Rajesh et.al [12] recommended a new honey pot technique to trap the vicious node. To initiate this honey pot trap method, a spoofed routing request is circulated to the nearest node.…”

Section: 4mentioning

confidence: 99%

A Survey on Assorted Subsisting Approaches to Recognize and Preclude Black Hole Attacks in Mobile Adhoc Networks

Thebiga

Pramila

2020

Int. J. Interact. Mob. Technol.

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<p>Ensuring collateral is the most substantial snag in Mobile Adhoc Networks which crash the efficacy of the network. Without regard to all different networks, the Mobile Adhoc network is stuffed with more safety hindrances and the Adhoc on Demand Vector Routing Protocol is more comprehensively utilized protocol in MANETS. This type of network is more exposed to assorted number of attacks and among those, the black hole attack and its variant pull off critical detriment to the entire network .In this type of attack, named black hole attack, the noxious node utilizes its routing principles, with the view to annunciate itself, that it has the briefest route to the target node. In this paper, we have investigated all the subsisting techniques and graded the solution with a table to understand their pros and cons.<strong></strong></p>

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Section: 4mentioning

confidence: 99%

A Survey on Assorted Subsisting Approaches to Recognize and Preclude Black Hole Attacks in Mobile Adhoc Networks

Thebiga

Pramila

2020

Int. J. Interact. Mob. Technol.

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“…Adhoc on Demand Multipath Distance Vector) routing protocol is used to mitigate the black hole attack the work also shows reduced overhead. In [21] authors include a fine-grained analysis scheme for detecting malicious node using packet loss. This scheme does not uses clusters for malicious node detection, hence consumes more communication overhead.…”

Section: Literatute Reviewmentioning

confidence: 99%

Accusation Based on Non-Voting Mechanism in MANET using Clusters

Jayanthi.¹,

Hussain²

2019

IJRTE

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compared to the wired network. The requirement of prior information regarding the broadcast feature and protocols required for reliable communication for MANET. Device mobility and frequent topology change is another important challenge. Further, its limited Processing capabilities, memory storage, energy and bandwidth are the required for algorithm implementation in MANET. MANETS [2] are vulnerable to attacks than its counterpart wired network. Vulnerabilities actors in Ad hoc networks are Absence of integrated observing and management, limited battery backup, power supply, infrastructure-less network with limited resources, frequent disconnections and partitions due mobility. Due to the above vulnerabilities, MANETS have to accomplish security goals. The major network security goals are confidentiality, and authentication. While compared to integrity, authorization availability and non-repudiation. In MANET, a number of communication approaches among nodes approaches are unicasting, multicasting, broadcasting, geo-casting and converge casting. These approaches are useful for successful communication in MANET. But, the characteristics and communication approaches of MANET present problems for achieving challenges and the security goals. Trust management is required to betterment the secrecy and security of MANET. The service of Watchdog is to monitor routing nature of a node, and then feed the information into the reputation system to manage and maintain the node reputation and thereby detection of black hole attack. The advantage of the watchdog is that it needs only local information for the detection of malicious node. A. Passive and active attackThe attackers may delay the message/packets from reaching the destination, drop the packets or change the messages. The attacks are listed into two classification, viz. passive and active attacks. The passive attackers indulge in monitoring or eavesdropping of data, during the transmission of data in the network. The attackers do not attempt to tamper or modify the data in transit. Detection of passive attack is difficult, hence passive attacks need to be prevented rather than detecting and taking corrective actions. In other words, passive attacks do not indulge modifications to the original message contents. Passive attacks are further sub classified into two categories. First is release of message contents, where the sensitive information from the data are monitored during its transit. And the second type of attack is traffic analysis, here attackers may not get access to the data, but may know when and from where the message was transmitted from. This is used for predicting the nature of the information. Active attacks, on the other hand, involves modification or tampering of messages on the transit. Prevention of active attacks is very difficult. Active attacks comprises of Denial of Service Attack (DOS), Replay attack, Masquerading, and alteration. The black hole is an example of an active attack. Where in the attacker drop the packets which are received. Two ...

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“…The disadvantage behind this method is it was not able to detect other type of collaborative attacks in mobile adhoc networks. Muhammad et.al [26] proposed a new method for detecting packet loss. There are different reasons exists for the occurrence of packet loss.…”

Section: Related Workmentioning

confidence: 99%

A Survey to Monitor and Defend Against Blackhole Attacks in Mobile Adhoc Networks

Thebiga¹,

Pramila²

2018

IJET

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Mobile adhoc networks is defined as collection of infrastructure less, self-organized, dynamic networks of mobile nodes that can be connected anywhere and at any time. In Mobile Adhoc Networks, every node in the network habitually amalgamate and deliver every other nodes packets in a sequence to permit out of reach conveyance. In this aggressive background, a part of the nodes may opposed to have it, either for preserving their self-resources or deliberately distorting usual conveyance. This class of misconduct is cited as packet dropping attack or Black hole attack. This kind of attack is supposed to be more catastrophic attack and it may provide a route to network crumble. The black hole malicious node organize its malevolent performance during the route locating procedures. In this paper we make a compendious study and survey examination on the counteract ant to be concerned with black hole attack and also we explore some of the propounded solution to diagnose and to avert the attack.

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Fine-Grained Analysis of Packet Loss in MANETs

Cited by 26 publications

References 26 publications

A Survey on Assorted Subsisting Approaches to Recognize and Preclude Black Hole Attacks in Mobile Adhoc Networks

A Survey on Assorted Subsisting Approaches to Recognize and Preclude Black Hole Attacks in Mobile Adhoc Networks

Accusation Based on Non-Voting Mechanism in MANET using Clusters

A Survey to Monitor and Defend Against Blackhole Attacks in Mobile Adhoc Networks

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