Mobility Profiling for User Verification with Anonymized Location Data
Authors: Miao Lin, Hong Cao, Vincent Zheng, Kevin Chen-Chuan Chang, Shonali Krishnaswamy
IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimentally, our method achieves 72% verification accuracy with less than a day s data and a detection rate of 94% of illegitimate users with only 2 hours of selected data. |
| Researcher Affiliation | Collaboration | Miao Lin1, Hong Cao2, Vincent Zheng3, Kevin Chen-Chuan Chang3, Shonali Krishnaswamy1 1Institute for Infocomm Research, A*STAR, Singapore 2Mc Laren Applied Technologies, APAC 3Advanced Digital Sciences Center, UIUC, Singapore |
| Pseudocode | Yes | Algorithm 1 User verification algorithm. |
| Open Source Code | No | The paper does not provide a statement or link indicating that the source code for the methodology described is open-source or publicly available. |
| Open Datasets | Yes | We use the mobility data recorded by the Device Analyzer app [Wagner et al., 2014; 2013]. |
| Dataset Splits | Yes | In the training phase, we use each user s first 9 weeks data to train the HMM, and the number of states is tested from 3 to 6. In the validation phase, we set the number of similar models and dissimilar models as the default value 5. The verification process is conducted on each user s remaining 2 to 4 weeks data. |
| Hardware Specification | No | The paper does not provide specific details about the hardware (e.g., CPU, GPU models, memory) used for running the experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers (e.g., programming languages, libraries, or frameworks). |
| Experiment Setup | Yes | In the training phase, we use each user s first 9 weeks data to train the HMM, and the number of states is tested from 3 to 6. In the validation phase, we set the number of similar models and dissimilar models as the default value 5. |