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Chair for Network Architectures and Services Technische Universit at M unchen Automated Analysis of Wireless Communication Protocols via SDR Bachelor thesis colloquium Roman Leuprecht November 4, 2015 Chair for Network Architectures and


  1. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Automated Analysis of Wireless Communication Protocols via SDR Bachelor thesis colloquium Roman Leuprecht November 4, 2015 Chair for Network Architectures and Services Department of Informatics Technische Universit¨ at M¨ unchen Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 1

  2. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Recap: SDR GNU Radio & The HackRF Hardware Concept Motivation Challenges Implementation ADS-B DCF-77 GSM Implementation Details Implementation Result Proposal of a new framework Conclusion Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 2

  3. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Recap: SDR SDR is the technology of using software instead of integrated circuits in radio modules Bus A/D Amplifier Antenna Host System Conv. This enables easier and faster research and development. In this thesis we used: ◮ HackRF as transceiver hardware ◮ GNU Radio as SDR framework Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 3

  4. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Motivation ◮ many wireless systems are based on proprietary protocols ◮ e.g. car remotes, wireless lock systems ◮ analysis needed to discover flaws & weaknesses ◮ private and military security concerns ◮ manual analysis is time-consuming but automation may help ◮ pattern recognition ◮ maximum likelihood calculations ◮ frequency deviation and progression analysis Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 4

  5. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Concept At first the concept was to develop a framework for completely automated communication analysis featuring: ◮ automated recognition of messages ◮ search for patterns and structures ◮ reliable identification of known protocols During the course of the thesis challenges were discovered and the concept was modified: ◮ analyze challenges & research on them in-depth ◮ design an unified approach for wireless analysis ◮ implement a first testing framework Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 5

  6. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Challenges: Overview Digital Baseband Network Channel Modulation forming Payload Packet Code reconstruction recognition estimation Digital Network Channel Baseband Demod- Payload Packet Code Detection ulation Figure: Flowgraph of digital information [1] with the challenges indicated Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 6

  7. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Challenges: Details The following challenges and their respective approaches to solve the problems were found: ◮ modulation recognition ◮ neuronal networks for detection ( ∼ 90% success) [2] ◮ channel code estimation ◮ linear codes: Maximum likelihood based [3] ◮ convolutional Codes: Matrix rank approach [4] ◮ packet reconstruction ◮ state machine based (ReverX, Roleplayer) [5, 6] ◮ token cluster based (Discoverer) [7] ◮ hybrid approach (ProtoX) [8] Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 7

  8. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Implementation: ADS-B ADS-B is the official standard for broadcasting airborne information and anti collision data [9]: ◮ distributes: ◮ height & speed ◮ coordinates & direction ◮ flight number & identification ◮ 1090MHz, pulse position modulation, 1Mbps ◮ two GNU Radio implementations, none stand-alone Challenges for the implementation further were: ◮ filter design was complicated, over-sampling and then down-sampling first tried (4MSamples) ◮ dc-blocker with thresholds produces high/low signals ◮ PPM modulation not implemented in GNU Radio Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 8

  9. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Implementation: GR-Filters vs DC Blocker This plot shows the effect of different DC-spike avoidance techniques implemented in GNU Radio: Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 9

  10. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Implementation: DCF-77 DCF-77 broadcasts the official German time and provides a radio time service for central Europe [10, 11] ◮ 77.5KHz , proprietary modulation ◮ 1Bit/s, Frames aligned to minutes Since no working implementation at all was found, no test could be developed. Nevertheless, DCF-77 is a good example how reduced radio stacks can operate. Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 10

  11. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Implementation: The DCF-77 customized radio stack Bits 1–14 Bits 15–20 Bits 21–28 Bits 29–35 Bits 36–58 Bits 59–60 Various Time Information Minutes Hours Date Pause – SFD Bits 36–41 Bits 42–44 Bits 58 Bits 45–49 Bits 50–57 Calendar Day Week Day Parity Month Year Figure: DCF77 payload [10] and modulation [12] Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 11

  12. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Implementation: Global System for Mobile Communications GSM is the worldwide standard for mobile communication that was also adapted to various uses, e.g. railways (GSM-R)[13] ◮ 850MHz, 900MHz, 1800MHz & 1900MHz most common bands (14 in total ranging from 380MHz to 1900MHz) ◮ minimum shift keying modulation with freq. multiplex ◮ operates on 1024 Channels (each 200kHz wide, 75% in main quad bands) For GSM the gr-gsm 1 library yielded a usable implementation that provides: ◮ channel model ◮ burst aggregation ◮ packet detection 1 https://github.com/ptrkrysik/gr-gsm Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 12

  13. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Implementation: Details The implementation faced certain problems induced by the used software ◮ GNU Radio Bug: Message Passing in Python dead-locks DSP flow at the end ◮ C++ blocks should not pass data into the surrounding Python program (may have side effects) ◮ no components to extract data for sequential tests These could be solved by using the following techniques: ◮ threaded design allows tests to run despite the deadlock ◮ data is submitted via local loop-back and UDP protocol ◮ relies on reliability of the implementation of local loopback sockets in the operating system (Linux was used) ◮ UDP approach allows interfacing with third-party programs Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 13

  14. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Implementation: Threading Start Start, Read Options threads UDP Configure Listen DSP DATA Test Executing Data DSP Join End threads Figure: The threading architecture of the Python application Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 14

  15. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Implementation: Output A sample test output written by the implemented GSM test analyzing the channel #85(952MHz) over about 20 seconds in Munich, Germany: [RESULT] GSM Discovered ( 1151 frames ) [RESULT] GSM CCCH Packet encountered 118 times ( 10.3 % ) [RESULT] GSM RACH Packet encountered 1033 times ( 89.7 % ) ◮ CCCH: Common Control Channel (GSM control handshakes and data exchange) ◮ RACH: Random Access Channel (for direct GSM system access of clients) Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 15

  16. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Implementation: Wireshark on local loopback (lo) The extracted data can also be viewed in third party applications like Wireshark Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 16

  17. Chair for Network Architectures and Services Technische Universit¨ at M¨ unchen Proposal of a new framework Until now most papers used different implementations for their approach. This was a problem for the practical and theoretical work. A unified approach can speed up new research and development: ◮ Modules ◮ represent OSI layers ◮ contain algorithms ◮ cross layer inferfacing ◮ Data Stacks ◮ hold all data of one analysis ◮ cross layer data access ◮ independent of the implementation Technische Universit¨ at M¨ unchen – Chair for Network Architectures and Services 17

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