Speaker: Xudong Liu, ECpE Graduate Student
Advisor: Sang Kim
Title: Crypto-Aided MAP Detection and Mitigation of False Data in Wireless Relay Data Collection Networks
Abstract: In traditional, the data integrity issues are addressed by the cryptography, but the cryptographic methods usually requires long authentication bits and high computation cost, which is not suitable for wireless relay networks whose transmission packets are short and aggregated before relaying. To deal with data integrity check issue in noisy wireless environment, in this report, we present crypto-aided maximum a posteriori probability (MAP) test for detecting false data injection in wireless data collection networks. This scheme catenates physical-layer MAP test after a lightweight cryptographic hash check, by utilizing a priori information obtained from cryptographic hash bits, to get the synergy of the two complementary solutions. Since the transmission packets prone to be short and aggregated in the emerging wireless networks, especially as fifth-generation (5G) or internet of thing (IoT) networks, the traditional integrity check techniques which works for the long data packets may not suitable anymore due to overhead and computation cost it incurs. Hence, our purpose is to provide a high accuracy efficient detection scheme to guarantee data integrity for those high-density wireless networks while operating under resource constraints. The results show that the crypto-aided MAP test has significant improvement over conventional cryptographic methods. Also, we show that the detection error of crypto-aided MAP test can be reduced to zero if the number of collected packets is sufficiently large, even if the bit error rate in overhearing channel is very high. This novel technique will benefit a wide variety of limited resources wireless applications where the traffic type are tend to be short and massive, meanwhile the information needs to be communicated in trustworthy and timely manner.