Fawwaz Eniola Fajingbesi
International Islamic University Malaysia

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Data in Transit Validation for Cloud Computing Using Cloud-Based Algorithm Detection of Injected Objects Rashidah Funke Olanrewaju; Thouhedul Islam; Othman O. Khalifa; Fawwaz Eniola Fajingbesi
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 1: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i1.pp348-353

Abstract

The recent paradigm shift in the IT sector leading to cloud computing however innovative had brought along numerous data security concerns. One major such security laps is that referred to as the Man in the Middle (MITM) attack where external data are injected to either hijack a data in transit or to manipulate the files and object by posing as a floating cloud base. Fresh algorithms for cloud data protection do exist however, they are still prone to attack especially in real-time data transmissions due to employed mechanism. Hence, a validation protocol algorithm based on hash function labelling provides a one-time security header for transferable files that protects data in transit against any unauthorized injection. The labelling header technique allows for a two-way data binding; DOM based communication between local and cloud computing that triggers automated acknowledgment immediately after file modification. A two layer encryption functions in PHP was designed for detecting injected object; bcrypt methods in Laravel and MD5 that generate 32 random keys. A sum total of 1600 different file types were used during training then evaluation of the proposed algorithm, where 87% of the injected objects were correctly detected.
Design and Fabrication of an Intelligent Walking Staff for Visually Impaired Subjects Rashidah Funke Olanrewaju; Muhammad Luqman Azzaki Mohd Radzi; Mariam Rehab; Fawwaz Eniola Fajingbesi
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 1: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i1.pp266-270

Abstract

The joy we derive from our ability to commute and interact freely with the world as a result of our possession of sight with the naked eyes are enormous however the Visually impaired people find great difficulty in moving around freely without a human guide, especially in a new terrain. This research reports the design and fabrication process of an intelligent walking staff (iWalk) specially designed for the visually disabled individuals to argument their loss of sight, improve and ease their navigation. iWalk was designed around water and ultrasonic sensors to detect obstacles and water ahead. iWalk also has a wireless RF remote control buzzer for localization and detection in case it gets misplaced. The proposed system operability and efficiency was adequately tested using physical dataset composed of randomized locations with random obstacles and water. The proposed algorithm achieves an overall efficiency of 90% detection rate for water and ultrasonic sensor and 85.75% for the RF wireless remote control.