Intelligent Jammer on Mobile Network LTE Technology: A Study Case in Bucharest
Source abstract
Abstract
The purpose of this study was to develop a laboratory model that enables the monitoring of communications carried out through mobile phones and their blocking in cases where it is prohibited. The main goal was to realise an intelligent jammer that blocks only illicit communications. The jammer was built with a software-defined radio (SDR) that can be found on the market and is accessible from a financial point of view. This study consisted of an analysis of the behaviour of mobile phones and mobile networks using the long-term evolution (LTE) of UMTS technologies so that the jamming technique can disrupt the communication of the cellular mobile system by using the software-defined radio and Python ecosystem. Because the 5G standalone (5G SA) is not yet implemented in Romania, we could not start developing a laboratory model for jamming this technology. When 5G SA is implemented, we will adapt this intelligent jamming solution to the new technology.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Security in Wireless Sensor Networks · Wireless Communication Security Techniques · Opportunistic and Delay-Tolerant Networks
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
E.T.T.I. Doctoral School, National University of Science and Technology Politehnica Bucharest, 060042 Bucharest, Romania
Department of Telecommunications, E.T.T.I. Faculty, National University of Science and Technology Politehnica, 060042 Bucharest, Romania
National Institute for Research and Development in Electrical Engineering ICPE-CA, 030138 Bucharest, Romania
Funding
Ministry of Investments and European Projects through the Human Capital Sectoral Operational Program 2014–2020 · Ministry of Research, Innovation and Digitization, CNCS/CCCDI – UEFISCDI
References (24)
Show source-provided references
1. Vachhani, K. (2019). Security in Computing and Communications, Proceedings of the 6th International Symposium, SSCC 2018, Bangalore, India, 19–22 September 2018, Springer. Revised Selected Papers 6.
2. Improving 4G/5G air interface security: A survey of existing attacks on different LTE layers10.1016/j.comnet.2021.108532 ↗
3. Jamming attacks and anti-jamming strategies in wireless networks: A comprehensive survey10.1109/COMST.2022.3159185 ↗
4. Microwave photonics approach as a novel smart fabrication technique of a radio communication jammers10.1016/j.procs.2021.01.346 ↗
5. Demeslay, C., Gautier, R., Fiche, A., and Burel, G. (2021). Band & Tone Jamming Analysis and Detection on LoRa signals. arXiv.
6. Torres, N., Pinto, P., and Lopes, S.I. (2021). Security vulnerabilities in LPWANs—An attack vector analysis for the IoT ecosystem. Appl. Sci., 11.10.3390/app11073176 ↗
7. Elmahi, E., Salekzamankhani, S., and Sharma, M. (2019, January 26–28). In-Depth Analysis of Signal Jammers’ and Anti-Jamming Effect on 5G Signal. Proceedings of the 2019 7th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), Istanbul, Turkey.10.1109/FiCloudW.2019.00014 ↗
8. Arya, B.R., and Vinod, B.R. (2020, January 3–5). Cascaded GSM Detector-Jammer Design. Proceedings of the 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), Thoothukudi, India.10.1109/ICISS49785.2020.9315865 ↗
9. Wang, X., and Zhou, Q. (2023). Analytical Technique Leveraging Processing Gain for Evaluating the Anti-Jamming Potential of Underwater Acoustic Direct Sequence Spread Spectrum Communication Systems. Symmetry, 15.10.3390/sym15091710 ↗
10. Li, Y., Wang, X., Liu, D., Guo, Q., Liu, X., Zhang, J., and Xu, Y. (2019). On the performance of deep reinforcement learning-based anti-jamming method confronting intelligent jammer. Appl. Sci., 9.10.3390/app9071361 ↗
11. Design and implementation of reinforcement learning-based intelligent jamming system10.1049/iet-com.2020.0410 ↗
12. Bădulă, E.M., Halunga, S., Fratu, O., and Popescu, M. (2023, January 29–30). Intelligent Blocking System for Mobile Communications Initiated by Unauthorized Users. Proceedings of the 2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), Bucharest, Romania.10.1109/ECAI58194.2023.10194110 ↗
13. (2023, August 01). Which Runs on Hardware Platform TSMA 6. Available online: https://scdn.rohdeschwarz.com/ur/pws/dl_downloads/pdm/cl_brochures_and_datasheets/product_brochure/3607_1907_12/NESTOR_bro_en_3607-1907-12_v1500.pdf.
14. Lara, K.V.D.F. (2020). Jammers for Mobile Cellular Systems applied to unauthorized UAVs. [Master’s Thesis, Instituto Universitário de Lisboa].
15. Research on Anti-interference Ability of Direct Sequence Spread Spectrum System
16. Bout, E., Loscri, V., and Gallais, A. (2020, January 14–16). Energy and Distance evaluation for Jamming Attacks in wireless networks. Proceedings of the 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), Prague, Czech Republic.10.1109/DS-RT50469.2020.9213652 ↗
17. (2023, August 01). PR100 Portable Receiver. Available online: https://www.rohde-schwarz.com/us/products/aerospace-defense-security/receivers-and-direction-finders/rs-pr100-portable-receiver_63493-9653.html.
18. (2023, August 03). HackRF One 1MHz to 6GHz USB Open-Source Software Radio Platform SDR RTL Development Board Reception of Signals. Available online: www.banggood.com/pt/HackRF-One-1MHz-to-6GHz-USB-Open-Source-Software-Radio-Platform-SDR-RTL-Development-Board-Reception-of-Signals-p1545357.html.
19. Jover, R.P. (2016). LTE security, protocol exploits and location tracking experimentation with low-cost software radio. arXiv.
20. Chalakkal, S., Schmidt, H., Park, S., and Practical Attacks on Volte and VoWiFi (2021, September 02). ERNW White Paper 60. pp. 1–26. Available online: https://ernw.de/download/newsletter/ERNW_Whitepaper_60_Practical_Attacks_On_VoLTE_And_VoWiFi_v1.0.pdf.
21. (2023, August 02). LTE_Vulnerabilities. Available online: https://scdn.rohde-schwarz.com/ur/pws/dl_downloads/dl_application/application_notes/1ma245/1MA245_2e_LTE_Vulnerabilities.pdf.
22. Truong, N.B., Suh, Y.-J., and Yu, C. (2013, January 18–20). Latency Analysis in GNU Radio/USRP-based Software Radio Platforms. Proceedings of the 2013 IEEE Military Communications Conference, San Diego, CA, USA.10.1109/MILCOM.2013.60 ↗
23. Jaitly, S., Malhotra, H., and Bhushan, B. (2017, January 1–2). Security vulnerabilities and countermeasures against jamming attacks in Wireless Sensor Networks: A survey. Proceedings of the International Conference on Computer, Communications and Electronics, Jaipur, India.10.1109/COMPTELIX.2017.8004033 ↗
24. Pushpalata, T., and Chaudhari, S.Y. (2017, January 22–24). Need of physical layer security in LTE: Analysis of vulnerabilities in LTE physical layer. Proceedings of the 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, India.10.1109/WiSPNET.2017.8300057 ↗