A predictive model for phishing detection

Autor: Adesina S. Sodiya, Abdul A. Orunsolu, A. T. Akinwale

Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 2, Pp 232-247 (2022)

Nowadays, many anti-phishing systems are being developed to identify phishing contents in online communication systems. Despite the availability of myriads anti-phishing systems, phishing continues unabated due to inadequate detection of a zero-day a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::395c98a800bc49dcc56e1e1f469d8cbf
https://doi.org/10.1016/j.jksuci.2019.12.005

Privacy Preserving Location-Based Client-Server Service Using Standard Cryptosystem

Autor: Idowu Ademola Osinuga, Adebukola Onashoga, Adesina S. Sodiya

Publikováno v: Journal of Computing and Information Technology, Vol 27, Iss 4, Pp 47-63 (2019)
Journal of computing and information technology
Volume 27
Issue 4

Location-Based Mobile Services (LBMS) is rapidly gaining ground and becoming increasingly popular, because of the variety of efficient and personalized services it offers. However, if users are not guaranteed their privacy and there is no assurance o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54a5ffc945ad81400fd041fc2fc01a30
https://hrcak.srce.hr/file/349496

Towards detecting credit card frauds using Hidden Markov Model

Autor: M.A. Ganiyu, C.O. Tinubu, S.A. Onashoga, Adesina S. Sodiya, Dada O. Aborisade

Publikováno v: Journal of Computer Science and Its Application; Vol 26, No 2 (2019); 54-63

E-commerce systems have become increasingly popular due to the widespread of internet shopping and banking. Credit card is one of the mostly used forms of payment on e-commerce platforms. However, there has been a tremendous rise in fraudulent credit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42c3f8327ce740b6c521eb6ddd43546d
https://www.ajol.info/index.php/jcsia/article/view/193182

A Framework for Protecting Users' Privacy in Cloud

Autor: Adesina S. Sodiya, Adegbuyi B.

Data and document privacy concerns are increasingly important in the online world. In Cloud Computing, the story is the same, as the secure processing of personal data represents a huge challenge. The main focus is to preserve and protect personally

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e6ea2e43a6794f4cc306e8bff11ebd4
https://doi.org/10.4018/978-1-5225-8897-9.ch023

An Adaptive and Collaborative Server-Side SMS Spam Filtering Scheme Using Artificial Immune System

Autor: Olusola Abayomi-Alli, Adebukola Onashoga, Adesina S. Sodiya, D.A. Ojo

Publikováno v: Information Security Journal: A Global Perspective. 24:133-145

SMS Spam, which is an unsolicited or unwanted message, is a major problem with Global System for Mobile Communication GSM subscribers. Existing Spam filters have not been able to stop the SMS Spam problem due to frequent drift in spammer’s words, l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c93b621cc35a0d81950acd0ef69543c2
https://doi.org/10.1080/19393555.2015.1078017