# Internet Traffic Analysis and Secure E-voting

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/internet-traffic-analysis-and-secure-e-voting/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the application of machine learning and deep learning techniques for the classification and analysis of internet traffic, including encrypted traffic, network behavior, and IoT device identification. It also covers topics related to anonymity, traffic analysis, and electronic voting. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t11598 |
| Works | 78 |

## Topic papers all

Showing 15 of 78.

- [Website Fingerprinting at Internet Scale](https://scholariq.org/papers/website-fingerprinting-at-internet-scale/)
- [Website fingerprinting in onion routing based anonymization networks](https://scholariq.org/papers/website-fingerprinting-in-onion-routing-based-anonymization-networks/)
- [A hybrid deep learning model for efficient intrusion detection in big data environment](https://scholariq.org/papers/a-hybrid-deep-learning-model-for-efficient-intrusion-detection-in-big-data/)
- [A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU](https://scholariq.org/papers/a-novel-pca-firefly-based-xgboost-classification-model-for-intrusion-detection/)
- [TSDL: A Two-Stage Deep Learning Model for Efficient Network Intrusion Detection](https://scholariq.org/papers/tsdl-a-two-stage-deep-learning-model-for-efficient-network-intrusion-detection/)
- [A Clustering Approach for the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mi>l</mml:mi></mml:mrow></mml:math>-Diversity Model in Privacy Preserving Data Mining Using Fractional Calculus-Bacterial Foraging Optimization Algorithm](https://scholariq.org/papers/a-clustering-approach-for-the-mml-math-xmlns-mml-http-www-w3-org-1998-math/)
- [A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method](https://scholariq.org/papers/a-hybrid-intrusion-detection-model-using-ega-pso-and-improved-random-forest/)
- [PhishStorm: Detecting Phishing With Streaming Analytics](https://scholariq.org/papers/phishstorm-detecting-phishing-with-streaming-analytics/)
- [Enhancing intrusion detection: a hybrid machine and deep learning approach](https://scholariq.org/papers/enhancing-intrusion-detection-a-hybrid-machine-and-deep-learning-approach/)
- [Towards a machine learning-based framework for DDOS attack detection in software-defined IoT (SD-IoT) networks](https://scholariq.org/papers/towards-a-machine-learning-based-framework-for-ddos-attack-detection-in-software/)
- [On Realistically Attacking Tor with Website Fingerprinting](https://scholariq.org/papers/on-realistically-attacking-tor-with-website-fingerprinting/)
- [HTTPOS: Sealing Information Leaks with Browser-side Obfuscation of Encrypted Flows.](https://scholariq.org/papers/httpos-sealing-information-leaks-with-browser-side-obfuscation-of-encrypted/)
- [Federated learning for IoT devices: Enhancing TinyML with on-board training](https://scholariq.org/papers/federated-learning-for-iot-devices-enhancing-tinyml-with-on-board-training/)
- [Sybil Defense Techniques in Online Social Networks: A Survey](https://scholariq.org/papers/sybil-defense-techniques-in-online-social-networks-a-survey/)
- [Systematic Literature Review on IoT-Based Botnet Attack](https://scholariq.org/papers/systematic-literature-review-on-iot-based-botnet-attack/)

## Topic primary papers

- [Website Fingerprinting at Internet Scale](https://scholariq.org/papers/website-fingerprinting-at-internet-scale/)
- [Website fingerprinting in onion routing based anonymization networks](https://scholariq.org/papers/website-fingerprinting-in-onion-routing-based-anonymization-networks/)
- [On Realistically Attacking Tor with Website Fingerprinting](https://scholariq.org/papers/on-realistically-attacking-tor-with-website-fingerprinting/)
- [HTTPOS: Sealing Information Leaks with Browser-side Obfuscation of Encrypted Flows.](https://scholariq.org/papers/httpos-sealing-information-leaks-with-browser-side-obfuscation-of-encrypted/)
- [Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data](https://scholariq.org/papers/random-forest-bagging-and-x-means-clustered-antipattern-detection-from-sql-query/)
- [STAR-Vote: A Secure, Transparent, Auditable, and Reliable Voting System](https://scholariq.org/papers/star-vote-a-secure-transparent-auditable-and-reliable-voting-system/)
- [Practical GAN-based synthetic IP header trace generation using NetShare](https://scholariq.org/papers/practical-gan-based-synthetic-ip-header-trace-generation-using-netshare/)
- [A Byte-level CNN Method to Detect DNS Tunnels](https://scholariq.org/papers/a-byte-level-cnn-method-to-detect-dns-tunnels/)
- [Blockchain and Aadhaar based Electronic Voting System](https://scholariq.org/papers/blockchain-and-aadhaar-based-electronic-voting-system/)
- [Classifying Network Traffic Using DPI And DFI](https://scholariq.org/papers/classifying-network-traffic-using-dpi-and-dfi/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.