Nuur Alifah Roslan

Dr. Nuur Alifah Roslan

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 July 2021 in Applied Sciences
Verified
Journal Article
Open access
PDF file
RTReema Ahmed Abdalla Bin Thabit
Reema Ahmed Abdalla Bin Thabit
NUNur Izura Udzir
Nur Izura Udzir
SYSharifah Yasin
Sharifah Yasin
AAAziah Asmawi
Aziah Asmawi
NRNuur Alifah Roslan
Nuur Alifah Roslan
RDRoshidi Din
Roshidi Din
Protecting sensitive information transmitted via public channels is a significant issue faced by governments, militaries, organizations, and individuals. Steganography protects the secret information by concealing it in a transferred object such as video, audio, image, text, network, or DNA. As text uses low bandwidth, it is commonly used by Internet users in their daily activities, resulting a vast amount of text messages sent daily as social media posts and documents. Accordingly, text is the ideal object to be used in steganography, since hiding a secret message in a text makes it difficult for the attacker to detect the hidden message among the massive text content on the Internet. Language’s characteristics are utilized in text steganography. Despite the richness of the Arabic language in linguistic characteristics, only a few studies have been conducted in Arabic text steganography. To draw further attention to Arabic text steganography prospects, this paper reviews the classifications of these methods from its inception. For analysis, this paper presents a comprehensive study based on the key evaluation criteria (i.e., capacity, invisibility, robustness, and security). It opens new areas for further research based on the trends in this field.