Designing secure and reliable mobile agent based system for reliable MANET

Roy, Moumita; Chowdhury, Chandreyee; Anjum, Munshi Navid; Neogy, Sarmistha

doi:10.1504/ijahuc.2019.101822

Cited by 3 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[4][5][6][7][8] Due to the features of reliance on cooperative algorithms, open medium, lack of centralized monitoring points, absence of directness of defense and dynamically changing topologies, MANET faces a security challenge. [9][10][11][12] These features also include limited battery power, limited resources, computational power, and moderate bandwidth. 13,14 Routing protocols such as reactive and proactive protocols are used to establish the connectivity.…”

Section: Introductionmentioning

confidence: 99%

“…This is attributed to its simple deployment, self‐organizing structure, and infrastructure‐less properties 4–8 . Due to the features of reliance on cooperative algorithms, open medium, lack of centralized monitoring points, absence of directness of defense and dynamically changing topologies, MANET faces a security challenge 9–12 . These features also include limited battery power, limited resources, computational power, and moderate bandwidth 13,14 …”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An artificial immune system‐based algorithm for selfish node detection in Mobile Ad Hoc Networks (MANETs)

Gowtham,

Vigenesh,

Ramkumar

2024

Trans Emerging Tel Tech

View full text Add to dashboard Cite

The Mobile Ad Hoc Network (MANET) depending on dynamic distributed topology presents several challenges such as decentralized infrastructure. In MANET, each node act as a host as well as a router to exchange packet. From Source to destination, the MANET nodes offer the ability of transmission to send, receive, and route traffic. Moreover, the presence of selfish nodes or malicious nodes in MANETs significantly degrades network performance. Identifying and isolating such nodes poses a formidable challenge. Consequently, this research introduces a security model founded on the principles of an Artificial Immune System (AIS) to detect and defend against Selfish Node (SN) attacks. This research work employs the principles of AIS to categorize a node's behavioral state based on the Mature Context Immune Antigen Rate (MCIAR). Subsequently, a hybrid protocol named Reliable History‐dependent Resource Conscious Clustered and Defensive AODV (RRCC‐DAODV) is introduced to detect Selfish Nodes (SNs) and counteract their attacks. Within the RRCC algorithm, the identification of selfish nodes relies on both Trust Value (TV) and Residual Energy (RE). Additionally, the proposed DAODV protocol incorporates the V‐detector algorithm to enhance defense mechanisms against potential attacks. The simulation of the proposed model is carried out in NS3. The proposed mechanism achieves a detection ratio of 94.05%. The simulation outcomes demonstrate the excellence of the implemented system. This superiority is observed when compared to other standard protocols, as indicated by the parameters of throughput, residual energy, packet delivery ratio, and delay.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An artificial immune system‐based algorithm for selfish node detection in Mobile Ad Hoc Networks (MANETs)

Gowtham,

Vigenesh,

Ramkumar

2024

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

Trust Embedded AODV for securing and Analyzing Blackhole attack in MANET

Lema,

Desalegn,

Tiwari

et al. 2022

2022 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)

View full text Add to dashboard Cite

Simulative Analysis of Column Mobility Model for Proactive and Reactive Routing Protocols in Highly Dense MANET

Kour,

Sarangal,

Singh

et al. 2024

RACSC

View full text Add to dashboard Cite

One of the most promising fields of research in recent years is Mobile Ad Hoc Networks (MANET). The well-known advantages of the internet for specific types of applications lead to the fact that it is a wireless ad-hoc network. As a result, such networks can be utilized in circumstances where no other wireless communication infrastructure is present. A MANET is a network of wireless devices without any centralized control. A device can directly communicate with other devices using a wireless connection. For nodes that are located far from other nodes, multi-hop routing is employed. The functionality of route-finding is performed by routing protocols. The mobility model creates the movement pattern for nodes. This article discusses early research to address concerns about performance indicators for MANET routing protocols under the Column Mobility Model (CMM). Moreover, we discuss concerns regarding the designs of the related work, followed by the designed CMM model on the behavior of routing protocols.

show abstract

Designing secure and reliable mobile agent based system for reliable MANET

Cited by 3 publications

References 0 publications

An artificial immune system‐based algorithm for selfish node detection in Mobile Ad Hoc Networks (MANETs)

An artificial immune system‐based algorithm for selfish node detection in Mobile Ad Hoc Networks (MANETs)

Trust Embedded AODV for securing and Analyzing Blackhole attack in MANET

Simulative Analysis of Column Mobility Model for Proactive and Reactive Routing Protocols in Highly Dense MANET

Contact Info

Product

Resources

About