Your browser doesn't support javascript.
loading
A message recovery attack on multivariate polynomial trapdoor function.
Ali, Rashid; Hussain, Muhammad Mubashar; Kanwal, Shamsa; Hajjej, Fahima; Inam, Saba.
Affiliation
  • Ali R; Department of Mathematics, Capital University of Science and Technology, Islamabad, Pakistan.
  • Hussain MM; Department of Mathematics, University of Punjab, Jhelum, Pakistan.
  • Kanwal S; Department of Mathematical Sciences, Fatima Jinnah Women University, Rawalpindi, Rawalpindi, Pakistan.
  • Hajjej F; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
  • Inam S; Department of Mathematical Sciences, Fatima Jinnah Women University, Rawalpindi, Rawalpindi, Pakistan.
PeerJ Comput Sci ; 9: e1521, 2023.
Article in En | MEDLINE | ID: mdl-37705660
ABSTRACT
Cybersecurity guarantees the exchange of information through a public channel in a secure way. That is the data must be protected from unauthorized parties and transmitted to the intended parties with confidentiality and integrity. In this work, we mount an attack on a cryptosystem based on multivariate polynomial trapdoor function over the field of rational numbers Q. The developers claim that the security of their proposed scheme depends on the fact that a polynomial system consisting of 2n (where n is a natural number) equations and 3n unknowns constructed by using quasigroup string transformations, has infinitely many solutions and finding exact solution is not possible. We explain that the proposed trapdoor function is vulnerable to a Gröbner basis attack. Selected polynomials in the corresponding Gröbner basis can be used to recover the plaintext against a given ciphertext without the knowledge of the secret key.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: PeerJ Comput Sci Year: 2023 Document type: Article Affiliation country: Pakistan

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: PeerJ Comput Sci Year: 2023 Document type: Article Affiliation country: Pakistan