Human-Machine Interaction in E-commerce: a Multi-Faceted Examination of CAPTCHA Effect

Okoli, Kingsley; Joseph, Innocent; Chijioke, Famous; Bekeneva, Yana; Chijioke, Amadi; Kodondo, Ibrahim

doi:10.1109/elcon61730.2024.10468391

2024 Conference of Young Researchers in Electrical and Electronic Engineering (ElCon) 2024

DOI: 10.1109/elcon61730.2024.10468391

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Human-Machine Interaction in E-commerce: a Multi-Faceted Examination of CAPTCHA Effect

Kingsley Okoli,

Innocent Joseph,

Famous Chijioke

et al.

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Enhanced Security Access Control Using Statistical-Based Legitimate or Counterfeit Identification System

Edrah,

Ouda

2024

Computers

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With our increasing reliance on technology, there is a growing demand for efficient and seamless access control systems. Smartphone-centric biometric methods offer a diverse range of potential solutions capable of verifying users and providing an additional layer of security to prevent unauthorized access. To ensure the security and accuracy of smartphone-centric biometric identification, it is crucial that the phone reliably identifies its legitimate owner. Once the legitimate holder has been successfully determined, the phone can effortlessly provide real-time identity verification for various applications. To achieve this, we introduce a novel smartphone-integrated detection and control system called Identification: Legitimate or Counterfeit (ILC), which utilizes gait cycle analysis. The ILC system employs the smartphone’s accelerometer sensor, along with advanced statistical methods, to detect the user’s gait pattern, enabling real-time identification of the smartphone owner. This approach relies on statistical analysis of measurements obtained from the accelerometer sensor, specifically, peaks extracted from the X-axis data. Subsequently, the derived feature’s probability distribution function (PDF) is computed and compared to the known user’s PDF. The calculated probability verifies the similarity between the distributions, and a decision is made with 92.18% accuracy based on a predetermined verification threshold.

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Enhanced Security Access Control Using Statistical-Based Legitimate or Counterfeit Identification System

Edrah,

Ouda

2024

Computers

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show abstract

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Human-Machine Interaction in E-commerce: a Multi-Faceted Examination of CAPTCHA Effect

Cited by 1 publication

References 6 publications

Enhanced Security Access Control Using Statistical-Based Legitimate or Counterfeit Identification System

Enhanced Security Access Control Using Statistical-Based Legitimate or Counterfeit Identification System

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