Work place: Faculty of Computer Applications, Marwadi University, Morbi Road, 360 003, Rajkot, India
E-mail: eddynap@gmail.com
Website:
Research Interests: Computer Security
Biography
Edwin Xorsenyo Amenu is pursuing his PhD. in Computer Science (Cybersecurity) in Marwadi University, Rajkot -India. As part of his appointment in this university, he is responsible for teaching, research, mentoring, assisting and, he is also the cybersecurity lab-in-charge. Edwin X.K Amenu studies at Kwame Nkrumah University of Science and Technology, Kumasi - Ghana, for his Masters in Information Technology. Before enrolling on his full-time PhD. studies, he was part of the Academic staff of the University of Health and Allied Sciences, Ho - Ghana. He earns his Bachelor Degree in Information Science and English-Combined Major from the University of Ghana, Accra. He has been in the teaching field and professional industry for the past fifteen (15) years, with ambitious research interests in the areas of cybersecurity, information security and computer system security.
By Edwin Xorsenyo Amenu Sridaran Rajagopal.
DOI: https://doi.org/10.5815/ijitcs.2026.01.02, Pub. Date: 8 Feb. 2026
In this rapidly progressing technological age, the likelihood of transmitting inadequately secured data in the cloud is high. Over the past several decades, experts in data and information security have tested and experimented with numerous hashing combinations. However, these have proven to be insufficient in preventing the interception and decoding of confidential text during transmission. Therefore, methodologically, in this current research, cryptography and steganography is diversified into using three different encryption algorithms of RSA, AES and LSB with further compressing of the to-be-communicated data, to enable the use of limited space in the cloud, as well as permit fast and quick embedded message transmission. The proposed architecture, EdSri has been implemented and tested against few existing models and found to show improved performance in terms of measured security metrics such as password strength, time between login attempts, login attempt rate, failed login attempt rate, device and browser fingerprinting, and also, measuring compression parameters like structural similar index, compression time, compression ratio, compression speed, bit per pixel, saving percentage, mean squared error, and peak to noise signal ratio, EdSri would hopefully become viable platform for exchanging secured information among the cloud communicators when hosted.
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