DRKH: A Power Efficient Encryption Protocol for Wireless Devices
Bibliographic record
Abstract
In this paper, we present Dynamic Re‐keying with Key Hopping (DRKH) encryption protocol that uses RC4 encryption technique to ensure a strong security level with the advantage of low execution cost compared to other IEEE 802.11 security schemes. Low computational complexity makes DRKH suitable for solar‐ and battery‐powered handheld devices such as nodes in Solar ESS (Extended Service Set) and wireless sensor networks. Our design goal is to eventually integrate DRKH with different emerging wireless technologies. However, in this paper, we will focus on the integration of DRKH with 802.11 standard since it is the most widely deployed wireless technology. The results and analysis show that DRKH overcomes all the security threats with Wired Equivalent Privacy (WEP) protocol while consuming a much lower power than WEP, Wi‐Fi Protected Access (WPA) 1.0 and WPA 2.0.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".