Efficient Security Solution for Information-centric Networking
Bibliographic record
Abstract
Global scale rapid increase in the number devices and available information over the Internet makes the challenge of information overload inevitable. Information-Centric Networking (ICN) emerges as a shift in paradigm from a host based communication toward networking of information. It aims at using the network layer to provide content to the users instead of providing a communication channel between hosts. This shift in the networking paradigm of ICN brings forth the feasibility of securing the named data for more robust trust model. While the concept of ICN is mainly proposed for the publish-subscriber model and many research works already show its benefits in the data dissemination aspect, the source authentication and data integrity issue with respect to ICN received less attention. In this paper, we address data security of the ICN by proposing an efficient cryptography system based on identity-based cryptography demonstrated by a use-case of data communication in smart grid. Our system utilizes the name of the content as the source to calculate the static public key aligned with a dynamic private key which is refreshed by itself. Our analysis shows the efficiency and security of the system.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".