The increasing threat of Global Navigation Satellite System (GNSS) spoofing attacks necessitates the development of robust defense mechanisms and the testing of potential vulnerabilities. In this project, we present the development and testing of an ultraportable Global Positioning System (GPS) spoofer using an Software Defined Radio (SDR) platform, BladeRF. The spoofer enables users to initiate synchronous spoofing attacks with kilobyte-level files, facilitating synchronous attacks. The project comprises two primary components: an acquisition block based on a serial-search algorithm and a GPS signal simulator. The design emphasizes module reuse, allowing for cost-effective implementation on a relatively small and affordable Field Programmable Gate Arrays (FPGA). This project provides a foundation for both GPS spoofing research and defense algorithm testing, proving the ease of developing a spoofer. / Det ökade hotet från GNSS-förfalskningsattacker kräver utveckling av robusta försvarsmekanismer och testning av potentiella sårbarheter. I det här projektet presenterar vi utvecklingen och testningen av en ultraportabel GPSförfalskare med hjälp av en mjukvarudefinierad radio, BladeRF. Förfalskaren möjliggör att användare kan initiera synkrona förfalskningsattacker med kilobytenivåfiler, vilket underlättar synkrona attacker. Projektet består av två primära komponenter: en samplingsblock baserad på en sekventiell sökalgoritm och en GPS-signalsimulator. Designen betonar återanvändning av moduler, vilket möjliggör kostnadseffektiv implementering på en relativt liten och prisvärd FPGA. Detta projekt ger en grund för både forskning om GPS-förfalskning och testning av försvarsalgoritmer och visar på enkelheten att utveckla en förfalskare.

Most times people are unprepared to face natural disasters resulting in chaos, increased number of deaths, etc.Emergency responders need an efficiently working communication network to get in touch with the emergency services like hospitals, police, fire and rescue as well as people who are stranded. Such a network is also the need of the hour for survivors to contact their near and dear ones. One of the major barriers of communication during an emergency is the destruction of network elements. In case the communication devices survive the calamity, odds of the network getting congested are certainly high because almost everyone will be trying to use the same network resources. An important factor when dealing with emergency situations is the calls for an immediate response and an efficient Emergency Communication Systems (ECS). Currently there is a capability gap between existing ECS solutions and what we dream of achieving. Most current solutions do not meet cost or mobility constraints. An inexpensive, portable and mobile system will fulfill this capability gap. The main purpose of this research is to optimize the altitude and received signal strength of an aerial base station to provide maximum radio coverage on the ground as well as propose the best fit radio propagation channel model to carry out the experiment for the current scenario.

The work deals with the use of software-defined radio as a probe for monitoring the operation of wireless communication according to the IEEE 802.11a/g standard. In the theoretical introduction, the concept of software-defined radio as a hardware device with software programmable circuits enabling the transmission or reception of signals in theoretically any frequency band is introduced. The introduction also contains adescription of selected devices and the IEEE 802.11 protocol with its most used additionsand modulations. In the first part of the practical part of the work, wireless communication is capturedusing a wireless network card in monitoring mode. The intercepted communication was decrypted and this decrypted traffic was compared with the data captured by the probe within the network. These results then served as acomparative basis for software-defined radio capturing. The focus of this work is to verify the capabilities of software-defined radio and its use for sniffing wireless communicationin the frequency band 2.4 GHz and 5 GHz. The attempt to use a software-defined radio here results from the scalability and adaptability that a wireless card cannot offer due to fixed hardware parameters. LimeSDR mini, LimeSDR and bladeRF 2.0 devices were used for capture. First, the configuration of the operating system, the installation of drivers and programs for control and work with selected devices are described. After verifying the functionality of the software-defined radio, a model of a signal decoder with the parameters of the IEEE 802.11g standard captured from the radio spectrum was put into operation. Finally, the data streams captured by the software-defined radio and the wireless network card were compared side by side. The results showed that the software-defined radio in the used configuration captures only a part of the total volume of transmitted frames.