Online network data mining its collection, analysis and display.
Sept, 2012 - Present
Advisor: Prof. Yuantao Gu @ Research Institute of Telecommunications
Advisor: Prof. Yuantao Gu @ Research Institute of Telecommunications
- Systematically viewed and compared almost all evolution models, and the information diffusion models;
- Developed an algorithms based on information tree to reduce the large data of large-scale networks based on its sparsification and the characteristics of information flow;
- Simulated the diffusion processes based on IC, LT and AsIC, AsLT models on MATLAB;
- Processing big data from Sina Weibo with C# to extract the exact information diffusion traces of interest, estimating parameters of the models, applying the differences of parameters into Information Classification, Influence Estimation and etc.
Cryptosystem analysis based on CBC mode
Mar, 2013 - Present
Advisor: Prof. Jian Wang @ Research Institute of High-Speed Signal Processing and Network Transmission
Advisor: Prof. Jian Wang @ Research Institute of High-Speed Signal Processing and Network Transmission
- Combined encryption module, physical transmission channel, and decryption module to an equivalent end-to-end encrypted channel for the first time;
- Analysed the channel and calculated the transition probability of CBC mode encrypted channel(CBCC) in closed theoretical form;
- Evaluated the performance, such as Frame Error Ratio(FER), Gap Distribution, Error Weight Distribution of CBCC based on transition probability;
- Established a project combined with MATLAB and C to confirmed the analyses with excellent match of the statistics on experimented Data Encryption Standard (DES)-based and Advanced Encryption Standard (AES)-based cryptosystems of CBC mode.
Antenna allocation for multiple target detection in mimo radar
Mar, 2013 - Present
Advisor: Prof. Jian Wang @ Research Institute of High-Speed Signal Processing and Network Transmission
Advisor: Prof. Jian Wang @ Research Institute of High-Speed Signal Processing and Network Transmission
- Investigated Diffusion Adaptation Over Networks in statistical signal processing by self-studying Adaptive Filter and works of Ali H. Sayed;
- Established the model for multi-target detection based on Sequential Hypothesis Testing(SHT) theory and Kullback Leibler(KL) Divergence;
- Optimized waveform and power allocation in the case with AWGN channel after self-studying Convex Optimization;