Telecom Fraud in this 5G Era: Detection, Prevention and Emerging Threats.
Budget: $10 – $30 USD
I’m developing a Telecommunication Engineering module titled “Telecom Fraud in the 5G Era: Detection, Prevention and Emerging Threats.” The work sits squarely in the field of security protocols, examining how 5G core signalling (NAS, NG-AP, HTTP/2 service-based interfaces) can be manipulated for illicit gain.
Project goals
• Identify new fraud patterns that specifically target 5G architecture, such as slice-hopping, fake network slice advertisements and API abuse of the Service-Based Architecture.
• Analyse existing threats—SIM-swap, IRSF, Wangiri, PBX hacking, rogue gNodeB—and map them to current 3GPP releases.
• Develop prevention strategies that can be embedded in authentication, key-agreement and anomaly-detection layers.
Expected deliverables
1. A technical report (≈8,000 words) with diagrams, 3GPP references and a comparative risk matrix.
2. Proof-of-concept scripts or simulation models (Python, Wireshark dissectors, or MATLAB) demonstrating at least one detection algorithm against sample signalling captures.
3. A concise slide deck (≈15 slides) summarising threats, proposed counter-measures and implementation steps for operators.
Acceptance criteria
• Every claim is supported by peer-reviewed literature or 3GPP TS/SA3 documentation.
• Code executes without errors and reproduces stated results.
• Prevention recommendations are actionable and mapped to specific 5G security protocol hooks.
This material will feed directly into my course module, so clarity, academic rigour and practical relevance are critical.
Project goals
• Identify new fraud patterns that specifically target 5G architecture, such as slice-hopping, fake network slice advertisements and API abuse of the Service-Based Architecture.
• Analyse existing threats—SIM-swap, IRSF, Wangiri, PBX hacking, rogue gNodeB—and map them to current 3GPP releases.
• Develop prevention strategies that can be embedded in authentication, key-agreement and anomaly-detection layers.
Expected deliverables
1. A technical report (≈8,000 words) with diagrams, 3GPP references and a comparative risk matrix.
2. Proof-of-concept scripts or simulation models (Python, Wireshark dissectors, or MATLAB) demonstrating at least one detection algorithm against sample signalling captures.
3. A concise slide deck (≈15 slides) summarising threats, proposed counter-measures and implementation steps for operators.
Acceptance criteria
• Every claim is supported by peer-reviewed literature or 3GPP TS/SA3 documentation.
• Code executes without errors and reproduces stated results.
• Prevention recommendations are actionable and mapped to specific 5G security protocol hooks.
This material will feed directly into my course module, so clarity, academic rigour and practical relevance are critical.