FY2023007S
1)PROTECTION FOR GPS-BASED 5G AUTONOMOUS DRIVING AGAINST ADVERSARYÂ S LOCATION SPOOFING: A THRESHOLD-BASED GPS SIGNAL DETECTION SCHEME WILL BE APPLIED AT LEGAL NODES. IF THE RECEIVED SIGNAL STRENGTH (RSS) IS UNUSUALLY HIGHER THAN THE NORMAL GPS RSS, THEN LEGAL NODES WILL FILTER OUT THE STRONG RSS COMPONENTS IN FREQUENCY DOMAIN, AND THEN APPLY THE NORMAL GPS SIGNAL DETECTION TO FIND THE LEGAL NODEÂ S LOCATION INFORMATION. IN RESULTS, A SECURE AND RESILIENCE 5G AUTONOMOUS DRIVING NETWORK CAN BE ACHIEVED. 2)5G PROTECTED TACTICAL WAVEFORM: THE PRIVATE KEY GENERATION AND DECRYPTION WILL BE INVESTIGATED FOR THE 5G PROTECTED TACTICAL WAVEFORM (5G PTW), AND APPLIED FOR 5G PHY LAYER. STEP 1: KEY STREAMS 1, OR 2, OR 3, OR 4, CAN BE USED WITH ADVANCED ENCRYPTION STANDARD (AES) FOR BOTH UP- AND DOWN-PHY LAYER LINKS. STEP 2: LOCATIONS, THE MODULATION TYPES, AND THE NUMBERS OF THESE REFERENCE SYMBOLS WILL BE PERMUTED IN BOTH PHY LAYER TIME AND FREQUENCY DOMAIN FOR EACH MODE WITH THE GENERATED KEY STREAMATTHE TRANSMITTER (TX) NODES OR STATIONS. STEP 3: THE COVER KEY WILL BE SHARED WITH ONLY THE AUTHORIZED RECEIVER (RX) NODES/STATIONS IN PRIOR, AND REMOVED AFTER FEC DECODING AT THE NODES/STATIONS. ONLY THE AUTHENTICATED RX NODES/STATIONS CAN DETECT THE REFERENCE SYMBOLS, AND CAN ESTABLISH THEIR COMMUNICATION LINKS SECURELY. IN ADDITION, DATA BITS CONSISTING OF DATA AND CONTROL MESSAGE CAN BE COVERED BY KEY STREAM 1 ALSO IN ADDITION TO REFERENCE SYMBOLS BEFORE FEC ENCODING AND WILL BE REMOVED AFTER FEC DECODING. FURTHERMORE, THE OFDM STRUCTURE IN 5G IS BEST FIT FOR FREQUENCY SPREADING, AND CAN BE EXPLOITED AS A FREQUENCY HOPPING (FH) SYSTEM BECAUSE OFDM SENDS DATA OR REFERENCE SYMBOLS VIA SUBCARRIER FREQUENCY AND TIME SLOTS. FOR EXAMPLE, OPPERMANN CODES CAN BE EXPLOITED FOR FH TO REDUCE THE PEAK-TO-AVERAGE-POWER RATIO (PAPR) IN THE OFDM. IN FACT, ZADORF-CHU (ZC) SEQUENCE CODES, WHICH ARE KIND OF OPPERMANN CODES, ARE USED IN THE 5G OFDM PHY LAYER MODULATION. HENCE, IT WILL NOT DEMAND ADDITIONAL COST MUCH TO APPLY AN OPPERMANN SEQUENCE CODES IN FREQUENCY AXIS TO PROTECT A GROUP OF FRIENDLY UES. THEREFORE, AN FH PATTERN CAN BE GENERATED BY ANOTHER KEY STREAM AND CAN BE APPLIED FOR UES. THIS IS FOR MORE ADDITIONAL DEGREES OF 5G DATA PROTECTION. 3)RESILIENCE AGAINST THE PRESENCE OF COMPROMISED NODES: WE PROPOSE A NOVEL SECURITY BUILDING BLOCK AT THE PHYSICAL LAYER TO OFFER RESILIENCE AGAINST THE PRESENCE OF COMPROMISED NODES OR USERS IN THE NETWORK. MOREOVER, OUR SOLUTION IS PROACTIVE IN THAT IT COPES WITH MALICIOUS NODES OR USERS BEFORE THEY ARE IDENTIFIED AS SUCH. OUR PROPOSED SOLUTION CONSISTS IN DISTRIBUTING RISK AMONG SEVERAL NODES BY PLACING TRUST AMONG SEVERAL NODES RATHER THAN TRUSTING A SINGLE NODE. SPECIFICALLY, A SOURCE NODE WHO WISHES TO SEND CONFIDENTIAL DATA TO A DESTINATION NODE WILL DO SO VIA N INTERMEDIATE NODES IN THE NETWORK ACCORDING TO A PROTOCOL THAT MUST SATISFY THE FOLLOWING TWO REQUIREMENTS. (I) IF AT LEAST T (PARAMETER TO BE CHOSEN IN {1,...,N}) INTERMEDIATE NODES RELAY TO THE DESTINATION NODE THE INFORMATION RECEIVED FROM THE SOURCE NODE, THEN THE DESTINATION NODE CAN RECOVER THE CONFIDENTIAL DATA SENT BY THE SOURCE NODE. (II) IF AT MOST TÔ 1 NODES COLLUDE, THEN THEY CANNOT LEARN ANYTHING ABOUT THE CONFIDENTIAL DATA SENT BY THE SOURCE NODE. TO IMPLEMENT A SOLUTION THAT SATISFY THE ABOVE TWO REQUIREMENTS, WE PROPOSE TO ADD TO THE EXISTING CHANNEL CODES (TYPICALLY LDPC CODES OR POLAR CODES) A SECURITY LAYER IMPLEMENTED WITH INVERTIBLE TWO-UNIVERSAL HASH FUNCTIONS THAT CAN BE IMPLEMENTED WITH FIELD MULTIPLICATION. WE WILL EMPIRICALLY EVALUATE THE PERFORMANCE OF OUR SOLUTION OVER SYNTHETIC DATA TO QUANTIFY THE TRADE-OFF BETWEEN ADDED SECURITY, COMMUNICATION RATE, AND BIT ERROR RATE. WE WILL MEASURE SECURITY VIA THE ABOVE LEAKAGE USING A RECENTLY DEVELOPED NEURAL ESTIMATOR OF THE MUTUAL INFORMATION.
Wichita State University
Project Grant 2226447
$120.0k 9/18/22 FY2023005S
THE PI AND HIS STUDENT PLAN TO ACCOMPLISH THE FOLLOWING LIST OF WORK: Â ¢ RESEARCH PLAN (YEAR 1): DEVELOP A PRINCIPLED AND LIGHTWEIGHT CELLULAR NETWORK MONITORING AND THREAT DETECTION MECHANISM FOR ALLOWING 5G DOD UES TO DETECT POTENTIAL ATTACKS ON END DEVICES AND PROVIDE VULNERABILITY REPORTS AND CORRECTIVE ACTIONS TO THWART THEM. Â ¢ EVALUATION PLAN (YEAR 1): THE PI AND HIS STUDENT ALSO EVALUATE THE SECURITY GUARANTEES AND PERFORMANCE OVERHEAD OF THE PROPOSED RESEARCH PLAN FOR WHICH THEY WILL ALSO DEVELOP 5G NETWORK TESTBEDS USING SOFTWARE-DEFINED RADIOS (E.G., USRP) AND OPEN-SOURCE SOFTWARE STACK OF 5G.
The Pennsylvania State University
Project Grant 2226447
$60.0k 8/15/22 FY2023004S
RELAYS ARE WIDELY DEPLOYED IN THE 5G NETWORK (3GPP 5G NR) TO ENHANCE THE COVERAGE AND CAPACITY AT CELL EDGES. HOWEVER, IT ALSO POSES SERIOUS DATA INTEGRITY CHALLENGES AS THE RELAY CAN BE EASILY COMPROMISED, AND THE MESSAGE CAN BE MODIFIED IN TRANSIT. THE PROPOSED RESEARCH AIMS TO DEVELOP A LOW-LATENCY INTEGRITY CHECK METHOD FOR SHORT PACKETS, REPRESENTING THE MOST COMMON TRAFFIC IN 5G IOT APPLICATIONS. THE PROPOSED APPROACH INVOLVES A CRYPTOGRAPHIC INTEGRITY CHECK COMBINED WITH A PHYSICAL-LAYER INTEGRITY CHECK TO ENHANCE THE DATA INTEGRITY WITH REDUCED LATENCY.
Iowa State University Of Science And Technology
Project Grant 2226447
$60.0k 8/16/22