Multistage Security Detection in Mobile Ad-Hoc Network (MANET)

Tahboush, Muhannad; Agoyi, Mary; Esaid, Abdllkader

doi:10.14445/22315381/ijett-v68i11p213

Cited by 3 publications

(4 citation statements)

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“…In convolution operation, when the network data of the original expressway networking system is shared, the information data characteristics will be strengthened, and the noise will be weakened. CNN uses this feature to strengthen the inherent characteristics and fuzzy secondary characteristics of the network information of the expressway networking system 26 . Each convolution layer contains two processes: convolution and nonlinear activation.…”

Section: Reasoning and Traceability Methods Of Information Security E...mentioning

confidence: 99%

“…CNN uses this feature to strengthen the inherent characteristics and fuzzy secondary characteristics of the network information of the expressway networking system. 26 Each convolution layer contains two processes: convolution and nonlinear activation. The network information features of the expressway networking system in the current layer can be obtained through the convolution operation between the convolution kernel and the output features or original features of the previous layer.…”

Section: ) Convolution Layermentioning

confidence: 99%

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Reasoning and tracing of information security events in the expressway networking system based on deep learning

Zhang

Ding

et al. 2022

Int J of Intelligent Sys

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Section: Reasoning and Traceability Methods Of Information Security E...mentioning

confidence: 99%

Section: ) Convolution Layermentioning

confidence: 99%

Reasoning and tracing of information security events in the expressway networking system based on deep learning

Zhang

Ding

et al. 2022

Int J of Intelligent Sys

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“…Therefore, the source node will initiate route request (RREQ) and then transmit a packet through various network nodes to the appropriate destination. AODV employs four various types of messages, Route Request (RREQ), Route Reply (RREP), Route Error (RERR), and hello (HELLO), to discover the shortest path to the destination [27].…”

Section: Overview Of Aodvmentioning

confidence: 99%

Avoid Suspicious Route of Blackhole Nodes in MANET’s: Using A Cooperative Trapping

Esaid¹,

Agoyi²

2023

Computer Systems Science and Engineering

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Mobile Ad hoc Network (MANET) is decentralized wireless network and can communicate without existing infrastructure in many areas. MANET is vulnerable to various attacks that affect its performance such as blackhole attack. Blackhole attacker, inject fault routing information to persuade the source node to select the path with malicious node as the shortest path. To eliminate malicious nodes from launching any collaborative attack. A cooperative Trapping Approach (CTA) was proposed based on modifying Ad-hoc On-demand Distance Vector (AODV) routing protocol and trapping the malicious nodes by responding to the trap request message. The approach aims to eliminate and rule out both single and collaborative malicious blackhole nodes from any attack. The approach realizes a backward tracking mechanism to perform the elimination process. The proposed algorithm (CTA) was executed using NS-2 network simulator. The performance metrics that has been considered to evaluate the performance of the proposed algorithm such as throughput, end to end delay, packet delivery ratio, and consuming energy. The experimental results have shown the performance metrics of the proposed approach outperformed other state of at algorithms.

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“…The network layer is susceptible to different types of cyberattack and threats that can be used to disrupt the legitimate communications such as Denial of Service (DoS) attacks [2] that occur in online business and transaction systems. DoS attacks have become the major threat to current information security and network resources due to the deliberate exploitation of system vulnerabilities of a victim at the required time [3], [4]. DoS as the name suggests the attacker prevents or denies the services of the authorized user.…”

Section: Introductionmentioning

confidence: 99%

NTDA: The Mitigation of Denial of Service (DoS) Cyberattack Based on Network Traffic Detection Approach

Tahboush,

Hamdan,

Alzobi

et al. 2024

IJACSA

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Security is one of the important aspects which is used to protect data availability from being compromised. Denial of service (DoS) attack is a common type of cyberattack and becomes serious security threats to information systems and current computer networks. DoS aims to explicit attempts that will consume and disrupt victim resources to limit access to information services by flooding a target system with a high volume of traffic, thereby preventing the availability of the resources to the legitimate users. However, several solutions were developed to overcome the DoS attack, but still suffer from limitations such as requiring additional hardware, fail to provide a unified solution and incur a high delay of detection accuracy. Therefore, the network traffic detection approach (NTDA) is proposed to detect the DoS attack in a more optimistic manner based on various scenarios. First, the high network traffic measurements and mean deviation, second scenario relied on the transmission rate per second (TPS) of the sender. The proposed algorithm NTDA was simulated using MATLAB R2020a. The performance metrics taken into consideration are false negative rate, accuracy, detection rate and true positive rate. The simulation results show that the performance parameters of proposed NTDA algorithm outperformed in DoS detection the other well-known algorithms.

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Multistage Security Detection in Mobile Ad-Hoc Network (MANET)

Cited by 3 publications

References 0 publications

Reasoning and tracing of information security events in the expressway networking system based on deep learning

Reasoning and tracing of information security events in the expressway networking system based on deep learning

Avoid Suspicious Route of Blackhole Nodes in MANET’s: Using A Cooperative Trapping

NTDA: The Mitigation of Denial of Service (DoS) Cyberattack Based on Network Traffic Detection Approach

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