AODV MANET Blackhole Attack Detection

$30-250 USD

In Progress

Posted 8 days ago

$30-250 USD

Paid on delivery

I need a comprehensive comparison of ID3 and Statistical IDS in NS3 for detecting blackhole attacks in AODV MANETs. The simulations should use synthetic data. Comparison Parameters: - Detection Accuracy - Recall - F1-score - False Positive Rate - Resource Consumption Ideal Skills & Experience: - Expertise in NS3 - Strong background in AODV MANETs - Experience with ID3 and Statistical IDS - Proficient in simulation and data analysis Please provide detailed results for each parameter.

Research and Development

Graphical Network Simulator-3

Machine Learning (ML)

Project ID: 40432418

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10 proposals

Remote project

Active 6 days ago

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Awarded to:

@maxscender

Here's how I'd approach it: The core work breaks down into three layers: simulation, detection, and comparison. For the NS-3 side, I'll set up AODV across your three node densities (20/50/100 nodes) with Random Waypoint Mobility, inject blackhole attackers that send falsified RREPs and drop packets, and log per-node features; packet drop ratios, RREP counts, route request patterns, forwarding behavior. For the IDS layer, the ID3 decision tree gets trained on those extracted features using k-fold cross-validation. The statistical threshold-based anomaly detector (ST-BA) runs parallel using packet drop rate thresholds. Both operate on the same synthetic dataset from the simulation traces so the comparison is fair. The comparison output covers your full metric set; accuracy, recall, F1-score, FPR, plus resource consumption (memory, CPU time, energy estimation per detection cycle). I'll generate the ROC curves with AUC values across all three network scales so you can clearly see how ID3 holds up against ST-BA as density increases. One thing worth noting: I'll structure the code so the simulation, feature extraction, and classification are modular. That way if your supervisor asks you to tweak attack intensity or swap in C4.5 later, you're not rebuilding from scratch.

$250 USD in 7 days

5.0

(8 reviews)

5.5

10 freelancers are bidding on average $199 USD for this job

@WinterGreenTech

Hi, we did similar projects using Matlab. If u like we will show demo video. Hi we have more than 15 years of experience in Research & developement. If you have any query kindly contact us through us,thank you

$320 USD in 7 days

4.9

(22 reviews)

5.9

@khaliduom103

Hi I am Matlab and python expert,if your task is related to Matlab simulation,I am ready to help you in this project.

$140 USD in 7 days

4.9

(20 reviews)

5.4

@nareshk44

Hi, I can assist with conducting a comprehensive NS3-based comparative study of ID3-based IDS and Statistical IDS techniques for detecting blackhole attacks in AODV MANETs using synthetic simulation data. I have experience with network simulation research, MANET security analysis, academic technical writing, and performance evaluation methodologies. The project can include: NS3 simulation setup for AODV MANET under blackhole attack scenarios Implementation/configuration of ID3 and Statistical IDS approaches Synthetic dataset generation and preprocessing Performance evaluation using: Detection Accuracy Recall F1-Score False Positive Rate Resource Consumption (CPU, memory, routing overhead, etc.) Comparative analysis with tables, graphs, and interpretation of results Proper documentation and research-style reporting suitable for academic use I’m also familiar with prior NS3 and AODV blackhole detection studies and IDS evaluation methodologies in MANET environments. Before proceeding, could you please confirm: Which NS3 version you prefer Whether you already have baseline simulation scripts/datasets If the final deliverable should include full source code, simulation files, and research report/documentation as well Best regards, Naresh

$250 USD in 5 days

5.0

(26 reviews)

5.1

@mobasherreza10

As an ML expert and the leader of a full-service technology agency, I believe my team at Aesthetic Logic is an ideal fit for your project. We have extensive experience in NS3, AODV MANETs, statistical IDS, and ID3 algorithms. Our proficiency in simulation and data analysis will ensure that we provide a comprehensive comparative analysis based on your required parameters, including detection accuracy, recall, F1-score, false positive rate, and resource consumption. Our agency's unique strength lies in providing end-to-end solutions that integrate robust technical execution with premium visual design – an approach that can greatly enhance the quality of your research. Furthermore, we are no strangers to handing large-scale projects across sophisticated platforms like Azure DevOps, GitHub Actions, AWS, Azure Kubernetes Service (AKS), Google Kubernetes Engine (GKE), Helm and more. We have employed data analytics & ML models together many times in these platforms before.

$240 USD in 3 days

5.0

(20 reviews)

4.2

@nabeelraza1993

Comparing ID3 and Statistical IDS for blackhole detection in AODV MANETs requires controlled NS3 simulation, consistent synthetic traffic generation, and fair evaluation across accuracy and resource metrics. Well what I can do for you as telecommunications engineer with 8+ years of experience is build the NS3-based MANET simulation, model AODV blackhole attack behavior, implement/compare ID3 and statistical IDS logic, and produce detailed results for detection accuracy, recall, F1-score, false positive rate, and resource consumption. In fact, I’ve worked on telecom and cybersecurity research projects involving IDS/IPS systems, network traffic classification, NSL-KDD/CICIDS-style datasets, SVM/neural-network approaches, and simulation-based performance analysis, so delivering a structured IDS comparison with reproducible results and clear technical reporting aligns directly with my network-security research experience.

$220 USD in 7 days