Securing Domain Name System Combined with MIPv6 for Mobile Hosts
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
DNS is the standard mechanism for name to IP address resolution. The DNS has been extended to DNSSEC to add security by providing origin authentication and data integrity by the process of creating signatures periodically, which results in intensive computations. Adding digital signatures to a domain increases each record size by 5-7 times, which puts a burden of DNS reply messages on the authoritative name servers. The goal of this paper is to find secure DNS mechanism, which cause relatively low computation loads and reply burden especially for infrastructure mode MANET gateways that are responsible for name resolution services as well as local mobility management for mobile hosts. This paper proposes SECDNS (Secure DNS) mechanism that handles secure query/reply transactions using the one-time session key generated per a query basis. In the proposed SECDNS, burden for securing DNS is distributed for every DNS queries. We analyze how many SECDNS transactions can the session key with a given length handle and suggest the solution of the anti-MITM attack scheme, which protects the name resolution services against the possible MITM attacks and make it useless for the enemy to decrypt the SECDNS reply messages in time.
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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 it