Moving randomly without any centralized authority, dynamic nodes constitute the Mobile Adhoc Networks on the basis of fully-fledged cooperation and native trustworthiness. Unfortunately, in real scenarios, the malicious nodes take advantage of this inherent trustworthiness to settle in and perform their suspicious activities. In the light of the growing concerns about security attacks in hostile environments, new challenges have emerged to thwart routing attacks including the smart grayhole attack, which adversely affects the availability and accuracy of the network by dropping data packets. This paper addresses this disturbing attack by monitoring the behavior of the participating nodes through a bio-inspired trust management model. The distributed trustworthiness assessment model is based on the beta reputation system combined with the Ant Colony Optimization (ACO) metaheuristic. The main focus of the beta reputation system is rating the nodes according to their successful tasks and their consumed energy, while the ACO metaheuristic maintains this reputation metric during the discovery process and calculates the preference value of each traversed path to select the most secure one. The proposed model improves the traditional Dynamic Source Routing (DSR) protocol by isolating the malicious nodes from participation in data packets transmission. The simulations conducted with the network simulator 2, show that despite the presence of numerous gray holes, the reputation-based ACO DSR (RACODSR) outperforms the standard DSR in terms of packet loss ratio by a decrease of 9.8%, packet delivery ratio by an increase of 0.22%, throughput by an increase of 0.4%, jitter by a decrease of 22.76%, the end to end delay by a decrease of 2.51% and the consumed energy by a decrease of 0.17%.

Defending Against Smart Grayhole Attack Within MANETs: A Reputation-Based Ant Colony Optimization Approach for Secure Route Discovery in DSR Protocol

A mobile ad hoc network (MANET) is a group of nodes constituting a network of mobile nodes without predefined and pre-established architecture where mobile nodes can communicate without any dedicated access points or base stations. In MANETs, a node may act as a host as well as a router. Nodes in the network can send and receive packets through intermediate nodes. However, the existence of malicious and selfish nodes in MANETs severely degrades network performance. The identification of such nodes in the network and their isolation from the network is a challenging problem. Therefore, in this paper, a simple reputation-based scheme is proposed which uses the consumption and contribution information for selfish node detection and cooperation enforcement. Nodes failing to cooperate are detached from the network to save resources of other nodes with good reputation. The simulation results show that our proposed scheme outperforms the benchmark scheme in terms of NRL (normalized routing load), PDF (packet delivery fraction), and packet drop in the presence of malicious and selfish attacks. Furthermore, our scheme identifies the selfish nodes quickly and accurately as compared to the benchmark scheme.

/pdf/counteracting-selfish-nodes-using-reputation-based-system-in-1fo6sb3c.pdf

Counteracting Selfish Nodes Using Reputation Based System in Mobile Ad Hoc Networks

Mobile ad hoc networks (MANETs) possess numerous and unique characteristics, such as high channel error-rate, severe link-layer contentions, frequent link breakage (due to node mobility), and dissimilar path properties (e.g., bandwidth, delay, and loss rate) that make these networks different from the traditional ones. These characteristics seriously interfere with communication and hence, ultimately degrade the overall performance in terms of end-to-end delay, packet delivery ratio, network throughput, and network overhead. The traditional referenced layered strict architecture is not capable of dealing with MANET characteristics. Along with this, the most important apprehension in the intent of MANETs is the battery-power consumption, which relies on non-renewable sources of energy. Even though improvements in battery design have not yet reached that great a level, the majority of the routing protocols have not emphasized energy consumption at all. Such a challenging aspect has gained remarkable attention from the researchers, which inspired us to accomplish an extensive literature survey on power-aware optimization approaches in MANETs. This survey comprehensively covers power-aware state-of-the-art schemes for each suggested group, major findings, crucial structures, advantages, and design challenges. In this survey, we assess the suggested power-aware policies in the past in every aspect so that, in the future, other researchers can find new potential research directions.

/pdf/survey-on-power-aware-optimization-solutions-for-manets-4571uwvzcs.pdf

Survey on Power-Aware Optimization Solutions for MANETs

An Integrated Z-Number and DEMATEL-Based Cooperation Enforcement Scheme for Thwarting Malicious Nodes in MANETs

The idea of Smart City incorporates a few ideas being technology, economy, governance, people, management, and infrastructure. This implies a Smart City can have distinctive communication needs. Wireless technologies, for example, WiFi, Zig Bee, Bluetooth, WiMax, 4G or LTE have introduced themselves as a solution for the communication in Smart City activities. Nonetheless, as the majority of them utilize unlicensed interference, coexistence and bands issues are increasing. So to solve the problem IoT is used in smart cities. This paper addresses the issues of both resource allocation and routing to propose an energy efficient, congestion aware resource allocation and routing protocol (ECRR) for IoT network based on hybrid optimization techniques. The first contribution of proposed ECRR technique is to employ the data clustering and metaheuristic algorithm for allocate the large-scale devices and gateways of IoT to reduce the total congestion between them. The second contribution is to propose a queue based swarm optimization algorithm for select a better route for future route based on multiple constraints, which improves the route discovering mechanism. The proposed ECRR technique is implemented in Network Simulator (NS-2) tool and the simulation results are compared with the existing state-of-art techniques in terms of energy consumption, node lifetime, throughput, end-to-end delay, packet delivery ratio and packet overheads.

Energy Efficient Congestion Aware Resource Allocation and Routing Protocol for IoT Network using Hybrid Optimization Techniques

Scaling to large networks and dealing with high mobility define the major challenges in designing routing protocols for Mobile Ad hoc NETworks (MANETs). These protocols must be efficient in order to ensure quality of service (QoS) support and energy efficiency. In this paper, we investigate the effect of density and mobility on routing operation on the basis of a high level of QoS jointly accounting for the efficiency of energy utilization. For this purpose, we introduce a new double metric “QoS-Energy-Efficiency metric” and we show simulation results of multiple well-known protocols in various mobility and density scenarios.

Efficiency analysis of MANETs routing based on a new double metric with mobility and density models

Consuming less energy to evenly distribute the traffic load defines a major task for efficient routing protocols in Mobile Ad hoc Networks (MANets). Indeed, this process can avoid congestion, increases the network lifetime and maintains consequently green communications. In order to evaluate this capability, we introduce in this paper a new performance metric “Energy Efficiency of Load Balancing metric” and we investigate the effect of mobility on the basis of energy efficiency and load balancing using quality of service (QoS) metrics. Also, we show simulation results of some well-known routing protocols in various mobility scenarios.

Mobility based investigation of Load Balancing and Energy Efficiency of MANets routing protocols

As a subclass of Mobile Adhoc Networks (MANets), Vehicular Ad Hoc Network (VANET) is a set of interconnecting vehicles that aim to provide a wide spectrum of encouraging road services, such as safety and tra ffi c management. This key component of Intelligent Transportation Systems (ITS), is impacted by the vehicle’s mobility and su ff ers from frequent link disruptions caused voluntarily or intentionally by malicious attackers, which make the security issue more challenging and even life-threatening when critical attacks occurred. This work focuses on analyzing the smart grayhole attacks within VANets environments and evaluating the Reputation-based Ant Colony Optimization Dynamic Source Routing (RACODSR) and Dynamic Source Routing (DSR) protocols performances under two di ff erent scenarios. For this purpose, VANets mobility models with and without collisions are generated using OpenStreetMap and Simulation of Urban Mobility (SUMO) tools and simulated in Network Simulator NS2 to assess the e ff ectiveness of the compared protocols using the Drop rate, Packet Delivery Ratio, Throughput, Jitter, End-to-End delay, and consumed energy metrics.

/pdf/performance-analysis-of-racodsr-protocol-in-smart-grayhole-1ev684yz.pdf

Performance Analysis of RACODSR Protocol in Smart Grayhole Attacks on VANets

Popular Tasks used by Researchers

How can I help with your research?

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

We encountered an error while loading the panel. Please try refreshing the page.

Something went wrong

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

Anyone with the link can view this chat. You can switch it back to private anytime.

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Kaoutar Ourouss

Author Tools

Chat about Author

Papers

Defending Against Smart Grayhole Attack Within MANETs: A Reputation-Based Ant Colony Optimization Approach for Secure Route Discovery in DSR Protocol

Efficiency analysis of MANETs routing based on a new double metric with mobility and density models

Mobility based investigation of Load Balancing and Energy Efficiency of MANets routing protocols

Performance Analysis of RACODSR Protocol in Smart Grayhole Attacks on VANets