Bibliographic record
Abstract
Internet of Things is rising technology that could inspire the way wireless network access is provided. In IoT, secure data communication has lot of research scope. Especially message authentication, authorization cure path for IoT devices still remains as an open research problem. Some researcher proposed security mechanism without certification, MIC and token but still we didn’t find standard security mechanism for data communication between sensor nodes. In this article author has proposed an Identity based security (IBS) mechanism for IoT devices during data communication in IoT networks. IBS mechanism uses identity-based cryptography (IBC) to avoid certificates, MIC and tokens to minimize the computational overhead. IBS Mechanism is resistant to most common security attacks such as modification, fabrication, replay attacks and it can also protect hop count. It does provide secure data communication between sensor nodes. The results, based on NS-3 simulation, reveal that proposed mechanism is effectively able to protect the black hole attacks. In results, we have shown the packet delivery ratio, quality of services (QoS), and throughput between IBS mechanism, AODV path and AODV with black hole.
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 | 0.001 | 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 | 0.000 |
| 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".