Lightweight security protocols for the Internet of Things
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this paper, a suite of lightweight security protocols for the Internet of Things (IoT) is presented. It comprises protocols for lightweight encryption, authentication as well as key management. The key management protocol is the application of our early work on information theoretically secure key management to IoT; it is computationally efficient and information-theoretically secure, and enables that every data item (file) is encrypted with its own random key. The security and computational efficiency of the proposed protocols are compared with those of IPsec, which is the most commonly used suite of network-layer security protocols in Internet based applications but not desirable, due to its computationally-intensive procedures, to IoT applications and cyber-physical systems (CPS) with resource and computation-capability constraints. The proposed security protocols can be employed in IoT and CPS applications, replacing the IPsec core algorithms or the whole IPsec suite, to achieve a higher level of security with a very low resource consumption that helps to maintain the system sustainability.
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.
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 | 0.001 |
| Open science | 0.003 | 0.001 |
| 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 it