Secure Routing and Forwarding in RPL-based Internet of Things: Challenges and Solutions
Bibliographic record
Abstract
As the Internet of Things (IoT) becomes an integral part of our everyday life, securing the IoT devices against malicious activities became critical for their deployment, especially with such devices entering homes and controlling essential services. Most IoT devices still have limited resources (i.e., energy, processing power, and memory), complicating the use of traditional security measures. A modified version of the traditional TPC/IP protocol stack was developed for IoT devices, commonly known as the uIP protocol stack. This protocol stack includes either lightweight versions of the traditional protocols, operating at each layer or IoT-suitable replacement protocols. Among these protocols, the Routing Protocol for Low Power and Lossy Networks (RPL) was designed to perform network-layer routing in IoT, while the IPv6 over Low-powered Wireless Personal Area Network (6LoWPAN) protocol was introduced to a new network-sub-layer called the 6LoWPAN adaptation layer.
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".