Network Investigation research

23 papers · Investigation type

Network investigation uses observations of communications and relationships between systems to answer a defined question. The interpretation of an address, connection or traffic pattern depends on the collection point, time period and supporting context.

Scope of this collection

This collection contains papers assigned to the Network Investigation application. Their research categories can differ, because an investigative use is separate from a subject classification. The bibliography is a research starting point rather than a set of current network indicators.

Using this research

Compare what each method observes, how it establishes ground truth and what information is absent. Shared infrastructure and changes over time can complicate the meaning of an address-level association. Use the original study to assess which conclusions follow from the data it actually collected.

References reproduce the metadata held by ALEX. Missing author, year or source details are identified in the listing. Publication years are shown as recorded; collection and retrieval dates are not substituted. Follow the original source to verify a citation.

Bibliography

Showing 1–23 of 23 papers, ordered by publication year (newest first), then title.

Earlier research · five years or older Historical reference

Age markers as of 2026-11-06.

A DATA ANALYTICS APPROACH TO THE CYBER CRIME UNDERGROUND ECONOMY
Mr.P.Premchand; Bijjam Srinivasa Reddy; Anangi Tarun; Bogineni Vijay (2026) · American Journal of AI Cyber Computing Management
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A Passive Network Storage Covert Channel for Internet of Things
Zexiao Zou; Zhiqiang Wang; Qianli Huang; Baoxu Liu (2026) · IEEE Internet of Things Journal
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AI-POWERED CYBERSECURITY: GRAPH-BASED ANOMALY DETECTION IN NETWORK TRAFFIC
Sohail Ahmad; Raza Iqbal; Fatima Ubaid; Abdul Sattar (2026) · Kashf Journal of Multidisciplinary Research
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Analyzing Unsolicited Internet Traffic: Measuring IoT Security Threats via Network Telescopes
Shereen Ismail; Taelyn Dyer; Raul Martinez; Garrett Gastman; Yozelyn Chavez; Asma Jodeiri Akbarfam (2026) · ArXiv.org
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Artificial Neural Network-Based Intelligent Framework for Multiclass Network Intrusion Detection in Modern Cybersecurity Systems
Ankit Kumar Singh; Aastha Singh; Avanish Kant Agnihotri; Amit Trivedi; Mohd Nadeem (2026) · Recent Progress in Science and Engineering
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Detection of Network Intrusions using Machine Learning
Hemasri Mulavagila; Tejaswini N; Harika M; Chandra Sekhar K (2026) · Zenodo (CERN European Organization for Nuclear Research)
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Devising maintainable adaptive AI (MAI) model for improved network intrusion detection
Bekim Fetaji; Debabrata Samanta (2026) · Peer-to-Peer Networking and Applications
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Enhancing Cybersecurity Using Hybrid Machine Learning Techniques for Network Intrusion Detection
Anup Raj; Sharad Kumar; Jagdeep Singh; Manoj Kumar; Sachin Kumar; Vikas Sharma (2026) · International Journal for Research in Applied Science and Engineering Technology
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Explainable Artificial Intelligence Based Intrusion Detection System Using Machine Learning
Prof. G. A. Patil Prof. G. A. Patil; Vaishnavi V. Nalawade Vaishnavi V. Nalawade (2026) · International Journal of Creative and Open Research in Engineering and Management
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Federated Learning in the Wild: A Comparative Study for Cybersecurity under Non-IID and Unbalanced Settings
Roberto Doriguzzi-Corin; Silvio Cretti; Petr Sabel; Silvio Ranise (2026) · Springer Science and Business Media LLC
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Generative AI Applications in Network Security, Monitoring, and Traffic Analysis
Shallu Yadav (2026) · International Journal of Advanced Research in Science Communication and Technology
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Hybrid Quantum Kernel Support Vector Machine for Network Intrusion Detection Using NISQ‐Compatible Quantum Circuits
Mohammad Rafeek Khan; Malik Zaib Alam; Muneer Ahmad; Mohsin Iftikhar; Mohiuddin Ali Khan (2026) · Advanced Quantum Technologies
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Intrusion Detection With Machine and Deep Learning: A Comparative Study on CICIDS‐2017 and NSL‐KDD
Gulay Cicek; Nazlı Buldağ; Elif Aydın (2026) · SECURITY AND PRIVACY
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Network Intrusion Detection Based on Global-Local Temporal Feature Fusion Using Transformer and BiLSTM
Zheng Zhang; Haonan Li; Liquan Chen; Tianhao Hou; Yanan Liu; Jie Hao (2026) · Electronics
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Toward Secure Software-Defined Industrial Networks Through Asset Administration Shell Digital Twins
Riccardo Bacca; Andrea Melis; Lorenzo Rinieri; Roberto Girau; Marco Prandini; Franco Callegati (2026) · Future Internet
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Understanding the intersection of crime and networks
Tomáš Diviák; Marie Ouellet (2026) · CrimRxiv
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Just in Plain Sight: Unveiling CSAM Distribution Campaigns on the Clear Web
Nikolaos Lykousas; Constantinos Patsakis (2025) · 2025 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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Leveraging AI for Network Threat Detection—A Conceptual Overview
Muhammad Ali Paracha; Syed Usman Jamil; Khurram Shahzad; Muhammad Arif Khan; Abdul Rasheed (2024) · Electronics
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XAI-IDS: Toward Proposing an Explainable Artificial Intelligence Framework for Enhancing Network Intrusion Detection Systems
Osvaldo Arreche; Tanish Guntur; Mustafa Abdallah (2024) · Applied Sciences
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1000 days of UDP amplification DDoS attacks
5+
Daniel R. Thomas; Richard Clayton; Alastair R. Beresford (2017) · 2017 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Analysis of content copyright infringement in mobile application markets
5+
Ryan Johnson; Nikolaos Kiourtis; Angelos Stavrou; Vincent Sritapan (2015) · 2015 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
View paper · Open ALEX record · Source page
Spammer success through customization and randomization of URLs
5+
Gary Warner; Dhiraj Rajani; Mike Nagy (2015) · 2015 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Controlling spam and spear phishing via peered network overlays and non-repudiable traceback
5+
Stephen W. Neville; Michael Horie (2011) · 2011 eCrime Researchers Summit
Collection: APWG.org eCrimes Research · Original collection
Paper details
Research context
This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
View paper · Open ALEX record · Source page

Explore another perspective

These collections offer a different way into the library; their bibliographies need not contain the same papers.

Network & Infrastructure Security · Research category
Attribution · Investigation type