• Government of the People’s Republic of Bangladesh
  • University Grants Commission of Bangladesh
  • Asian Development Bank
  • Improving Computer Science Education Through Enhanced Practice (ICSETEP)
  • Department of Computer Science and Engineering, Daffodil International University
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01 / Core

Every dose carries a code.

A scannable code, printed on the strip the medicine ships in — the pack a pharmacist hands over, not the carton that gets thrown away.

  • ML-KEM
  • ML-DSA
  • FIPS 203 / 204

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02 / Capsule

Sealed at the source.

03 / Pack

The code goes on the back.

Capsules and tablets are blistered, and the code is printed on the lidding foil — the side that carries the batch, the expiry and everything else worth reading.

04 / Serum

A forgery gets the corners right.

It can copy the glass, the fill, the label, the lot number and the code’s registration marks — everything you can photograph. It cannot copy the key, so the rest of the code never resolves.

05 / AI

AI reads every dose. Forgeries fail.

A reader crosses the population, and every code it passes returns a verdict — not a guess about whether the medicine looks right, a check of what the medicine is carrying.

06 / PQC

Signed with unbreakable mathematics.

Lattice-based ML-KEM and ML-DSA — NIST FIPS 203 and 204 — chosen because a quantum computer breaks RSA and elliptic curve, and does not break these.

07 / Sealed

Verify. Protect. Trust.

AI-based, post-quantum cryptography-enabled counterfeit medicine identification — for better treatment outcomes in Bangladesh.

08 / Team

The people behind the signature.

Sub-Project A-71 · ICSETEP — Department of Computer Science and Engineering, Daffodil International University.

Project team

Principal Investigator

Co-Principal Investigators

Research Assistants

Master's Fellows

Accounts Officer

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08 chapters · one code

Development and effective application of AI-based, post-quantum cryptography-enabled counterfeit medicine identification tools for better treatment outcomes in Bangladesh.

Counterfeit medicine is a supply-chain problem that looks like a pharmaceutical one. A forgery can reproduce the tablet, the vial, the label and the lot number, because those are things you can look at and copy — so MedSecure PQC puts a code on the strip, the vial, the pack that actually reaches a patient, that only the manufacturer’s key can produce and that anyone in the chain can check with a reader.

Machine inspection checks whether a dose looks right. The signature checks whether it is right. Both are designed to still hold once quantum computers can break the cryptography protecting the rest of the chain.

Verify
A model reads imprint geometry, coating variance and spectral response, and returns a calibrated verdict rather than a guess.
Protect
The code and every custody event behind it are signed with lattice-based ML-KEM and ML-DSA — NIST FIPS 203 and 204 — so authenticity survives the quantum transition.
Trust
Two independent proofs, one answer. The model says the dose looks genuine; the code proves it is, and a forgery can produce neither.
Replay the sequenceSee a forgery fail

The team

Sub-Project A-71 · ICSETEP

Development and Effective Application of AI-Based, Post-Quantum Cryptography-Enabled Counterfeit Medicine Identification Tools for Better Treatment Outcomes in Bangladesh.

Principal Investigator
  • Dr. Arif Mahmud
Co-Principal Investigators
  • Md. Rasedul Islam
  • Dr. Sharifa Sultana
Research Assistants
  • Md. Rubayat Uddin Rimon
  • Shakib Howlader
Master's Fellows
  • Showrav Das
  • Zadid Al Lisan
  • Faiyaz Khan Sami
  • Anzir Rahman Khan
Accounts Officer
  • Md. Fahim Montasir Turjo

Department of Computer Science and Engineering, Daffodil International University. Funded by the Government of Bangladesh and the Asian Development Bank under the UGC RDG-ICSETEP project.

The team page