paper:security-verificationSecurity verification
Claims (1)
- The full text of the paper was not delivered; only a security-challenge page was returned, so knowledge-graph extraction cannot be performed.
The HTTP response body contains only Elsevier's bot-challenge UI (Request ID a1fee2e55bceccb3, UTC 2026-07-24T00:42:40.867Z) rather than the PDF's scholarly content.
Original abstract (expand)
We propose an idea for security verification of credit cards, passports, and other forms of identification so that they cannot easily be reproduced. A new scheme of complex phase/amplitude patterns that cannot be seen and cannot be copied by an intensity-sensitive detector such as a CCD camera is used. The basic idea is to permanently and irretrievably bond a phase mask to a primary identification amplitude pattern such as a fingerprint, a picture of a face, or a signature. Computer simulation results and tests of the proposed system are provided to verify that both the phase mask and the primary pattern are separately readable and identifiable in an optical processor or correlator.
Related work— refs + corpus + external arXiv
Cited / in-corpus / arXiv badges show which signals surfaced each row. Multi-source rows weighted higher.
- SECAdvisor: a Tool for Cybersecurity Planning using Economic ModelsChristian Omlin, Oliver Kamer, Eder John Scheid, Burkhard Stiller Muriel Figueredo Franco2026≈ 65%
- Teaching for large-scale Reproducibility VerificationLars Vilhuber and Hyuk Harry Son and Meredith Welch and David N. Wasser and Michael Darisse2026≈ 63%
- ≈ 62%
- Formal that "Floats" High: Formal Verification of Floating Point ArithmeticVaisakh Naduvodi Viswambharan, Deepak Narayan Gadde Hansa Mohanty2026≈ 61%
- When Agents Handle Secrets: A Survey of Confidential Computing for Agentic AIMarios Kogias, Hamed Haddadi Javad Forough2026≈ 61%
- A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop ReportBradley Malin, Anna Oganian, Ramesh Raskar, Vivek Sharma Chris Clifton2026≈ 60%
- Security, privacy, and agentic AI in a regulatory view: From definitions and distinctions to provisions and reflectionsSabita Maharjan Shiliang Zhang2026≈ 60%
- Complete Test of Synthesised Safety Supervisors for Robots and Autonomous SystemsJan Peleska (University of Bremen) Mario Gleirscher (University of Bremen)2021≈ 60%
- ≈ 60%
- Thucy: An LLM-based Multi-Agent System for Claim Verification across Relational DatabasesDan Suciu Michael Theologitis2026≈ 59%
- Introducing and Interfacing with Cybersecurity -- A Cards ApproachManuel Maarek, Shenando Stals, Lynne Baillie, Sheung Chi Chan, Robert Stewart, Hans-Wolfgang Loidl, Olga Chatzifoti Ryan Shah2026≈ 59%
- Agentic AI Security: Threats, Defenses, Evaluation, and Open ChallengesShrestha Datta, Shahriar Kabir Nahin, Prasant Mohapatra Anshuman Chhabra2026≈ 59%
- Safety by Measurement: A Systematic Literature Review of AI Safety Evaluation MethodsCharbel-Rapha\"el Segerie Markov Grey2025≈ 59%
- A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs PerspectiveCancan Feng, Yuqian Lei, Chenyang Zhang, Guisong Liu, Gang Kou, Carl Yang, Yu Zhao Huaming Du2026≈ 59%
- ≈ 59%
- Verbalized Eval Awareness Inflates Measured Safetyin corpus2026≈ 56%
- ≈ 55%
- ≈ 53%
- Interpreting Language Model Parametersin corpus2026≈ 53%
- ≈ 53%
- Towards a theory of conceptual design for softwarein corpus2015≈ 53%
- Open Character Training: Shaping the Persona of AI Assistants through Constitutional AIin corpus2025≈ 53%
- Evaluating Language Model Character Traitsin corpus2024≈ 52%
- ≈ 52%
- What Models Express, Suppress, and Resist: Auditing Open-Weight LLMs with Persona Vectorsin corpus2026≈ 52%
- ≈ 51%
- Frieze Patterns of the Alhambrain corpus2007≈ 51%
- ≈ 51%
- Persona-Model Collapse in Emergent Misalignmentin corpus2026≈ 51%