Context-Based Reasoning on Privacy in Internet of Things
Authors: Nadin Kokciyan, Pinar Yolum
IJCAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We first demonstrate how our approach handles our running examples and then show its theoretical results. Our implementation uses the ASPIC tool. In Figure 1, we show the interactions between four agents of Examples 1 and 2. |
| Researcher Affiliation | Academia | Nadin K okciyan Department of Computer Engineering Bogazici University, Istanbul, Turkey nadin.kokciyan@boun.edu.tr Pınar Yolum Department of Computer Engineering Bogazici University, Istanbul, Turkey pinar.yolum@boun.edu.tr |
| Pseudocode | Yes | Algorithm 1: DECIDETOSHARE (q0) |
| Open Source Code | No | The paper mentions 'Our implementation uses the ASPIC tool1. 1http://aspic.cossac.org', which refers to a third-party tool used for implementation, not the authors' own open-source code for their proposed methodology. |
| Open Datasets | No | The paper describes its approach using illustrative 'running examples' and an 'IoT scenario' but does not mention the use of any specific public dataset or provide access information for data used in evaluation. |
| Dataset Splits | No | The paper evaluates its approach through an illustrative scenario and theoretical proofs, and thus does not include training, validation, or test dataset splits. |
| Hardware Specification | No | The paper does not provide any specific hardware specifications (e.g., CPU, GPU models, memory) used for running its implementation or evaluations. |
| Software Dependencies | No | The paper mentions 'Our implementation uses the ASPIC tool', but does not provide a specific version number for this or any other software dependency. |
| Experiment Setup | Yes | The paper specifies parameters such as the default dob value for contexts (0.5 for N1), and values for low (L=0.2) and high (H=0.9) degrees of belief, and a threshold value (0.7) for the camera agent's trust evaluation. 'Here, L and H values are set to 0.2 and 0.9, respectively.' and ':cam s threshold value is 0.7' |