MOHICAN: smart cipher algorithm for secure computational face

Joanna I. Olszewska

MOHICAN: smart cipher algorithm for secure computational face

Joanna I. Olszewska^*

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

1 Downloads (Pure)

Abstract

With the current growth of enterprise applications relying on facial identification, verification, or authentication, the secure storage of face pictures on devices such as mobile phones, on services such as the cloud or at the edge becomes of increasing importance. For this purpose, we propose a smart cryptographic system based on a Modified Hill Cipher Algorithm (MOHICAN) which allies automated facial detection with fast encryption of face images, whilst being efficient compared to state-of-art methods as demonstrated on standard image datasets.

Original language	English
Pages	38-38
Number of pages	1
Publication status	Published - 22 May 2026
Event	28th International Conference on Enterprise Information Systems - Benidorm, Spain Duration: 22 May 2026 → 24 May 2026 https://iceis.scitevents.org/?y=2026

Conference

Conference	28th International Conference on Enterprise Information Systems
Abbreviated title	ICEIS 2026
Country/Territory	Spain
City	Benidorm
Period	22/05/26 → 24/05/26
Internet address	https://iceis.scitevents.org/?y=2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure
SDG 16 Peace, Justice and Strong Institutions

Keywords

mobile biometrics
identity management
trust and privacy
face de-identification
face encryption
privacy of personal identification data
privacy and security of HCI
secure business information systems
deepfake prevention
explainable cipher algorithm
intelligent agents
AL tools and applications

Access to Document

2026 04 06 Olszewska MOHICAN acceptedAccepted author manuscript, 2.49 MB

Cite this

@conference{bbd95ad1f950406d9c043a6aa0f0cda6,

title = "MOHICAN: smart cipher algorithm for secure computational face",

abstract = "With the current growth of enterprise applications relying on facial identification, verification, or authentication, the secure storage of face pictures on devices such as mobile phones, on services such as the cloud or at the edge becomes of increasing importance. For this purpose, we propose a smart cryptographic system based on a Modified Hill Cipher Algorithm (MOHICAN) which allies automated facial detection with fast encryption of face images, whilst being efficient compared to state-of-art methods as demonstrated on standard image datasets.",

keywords = "mobile biometrics, identity management, trust and privacy, face de-identification, face encryption, privacy of personal identification data, privacy and security of HCI, secure business information systems, deepfake prevention, explainable cipher algorithm, intelligent agents, AL tools and applications",

author = "Olszewska, \{Joanna I.\}",

year = "2026",

month = may,

day = "22",

language = "English",

pages = "38--38",

note = "28th International Conference on Enterprise Information Systems, ICEIS 2026 ; Conference date: 22-05-2026 Through 24-05-2026",

url = "https://iceis.scitevents.org/?y=2026",

}

TY - CONF

T1 - MOHICAN

T2 - 28th International Conference on Enterprise Information Systems

AU - Olszewska, Joanna I.

PY - 2026/5/22

Y1 - 2026/5/22

N2 - With the current growth of enterprise applications relying on facial identification, verification, or authentication, the secure storage of face pictures on devices such as mobile phones, on services such as the cloud or at the edge becomes of increasing importance. For this purpose, we propose a smart cryptographic system based on a Modified Hill Cipher Algorithm (MOHICAN) which allies automated facial detection with fast encryption of face images, whilst being efficient compared to state-of-art methods as demonstrated on standard image datasets.

AB - With the current growth of enterprise applications relying on facial identification, verification, or authentication, the secure storage of face pictures on devices such as mobile phones, on services such as the cloud or at the edge becomes of increasing importance. For this purpose, we propose a smart cryptographic system based on a Modified Hill Cipher Algorithm (MOHICAN) which allies automated facial detection with fast encryption of face images, whilst being efficient compared to state-of-art methods as demonstrated on standard image datasets.

KW - mobile biometrics

KW - identity management

KW - trust and privacy

KW - face de-identification

KW - face encryption

KW - privacy of personal identification data

KW - privacy and security of HCI

KW - secure business information systems

KW - deepfake prevention

KW - explainable cipher algorithm

KW - intelligent agents

KW - AL tools and applications

M3 - Paper

SP - 38

EP - 38

Y2 - 22 May 2026 through 24 May 2026

ER -

MOHICAN: smart cipher algorithm for secure computational face

Abstract

Conference

UN SDGs

Keywords

Access to Document

Fingerprint

Cite this