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Record W2026183175 · doi:10.1002/sec.4

Anonymous authentication and secure communication protocol for wireless mobile <i>ad hoc</i> networks

2008· article· en· W2026183175 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSecurity and Communication Networks · 2008
Typearticle
Languageen
FieldComputer Science
TopicCryptography and Data Security
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsComputer scienceAnonymityComputer networkComputer securityNode (physics)Wireless ad hoc networkAuthentication (law)Mobile ad hoc networkAuthentication protocolRouting protocolCryptographyRobustness (evolution)WirelessRouting (electronic design automation)Network packetTelecommunications

Abstract

fetched live from OpenAlex

Abstract The main characteristic of a mobile ad hoc network (MANET) is its infrastructure‐less, highly dynamic topology, which is subject to malicious traffic analysis. Malicious intermediate nodes in MANETs are a threat concerning security as well as anonymity of exchanged information. In this paper, we propose an anonymous on‐demand routing protocol, called RINOMO, to protect anonymity and achieve security of nodes in MANETs. After successful authentication of the legitimate nodes in the network they can use their pseudo IDs for secure communication. Pseudo IDs of the nodes are generated considering pairing‐based cryptography. Nodes can generate their pseudo IDs independently and dynamically without consulting with system administrator. As a result, RINOMO reduces pseudo IDs maintenance costs. Only trust‐worthy nodes are allowed to take part in routing to discover a route. To ensure trustiness each node has to make authentication to its neighbors through the designed anonymous authentication process. Thus, RINOMO safely communicates between nodes without disclosing node identities. It also provides different desirable anonymous properties such as identity privacy, location privacy, route anonymity, and robustness against several attacks. Mathematical analysis of privacy loss is also evaluated and it shows there is no loss of privacy with respect to time. Thus, RINOMO is an anonymous robust protocol in MANETs. Copyright © 2008 John Wiley &amp; Sons, Ltd.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.847
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.264
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it