INTELLIGENT ADVISORY SYSTEM FOR SUPPORTING COMPUTER-BASED AUTHENTICATION USERS

Authentication is one of the cornerstones of computer security systems today, and most users of computers interact withthese mechanisms on a daily basis. However, human factor has often been described as one of the weakest part of computersecurity as users of authentication are often identified to be the weakest link in the security chain. In related development ithas been demanding to merge usability with security in the choice of authentication method by computer users. To addressthe serious problem, this paper presents an intelligent advisory system based on artificial neural network that can assist usersof authentication systems on making decision on the authentication method that best suits them.Keywords: Intelligent, Advisory system, Authentication, Human Factor

Geophysical Approach for Groundwater Resource Assessment: A Case Study of Oda Community Akure, Southwestern Nigeria

The geophysical investigation for groundwater was carried out at Oda town, Akure south local government area of Ondo State. Fourteen (14) points were sounded using a Schlumberger array with AB/2 of 80 m and the resulting geoelectric parameters were used in the estimation of the aquifer layer parameters of the subsurface. The first layer resistivity value ranges from 29 to 164 Ωm and thickness ranges from 0.6 to 2.5 m. The second layer has a resistivity value ranging from 21-1361 Ωm with a thickness ranging from 1.5 m to 14.6 m. The third layer resistivity value is from 68 to 297 Ωm with thickness ranging from 4 m to 12.4 m. The fourth layer which is the deepest layer has a resistivity value ranging from 180 to 4364 Ωm with depth ranging from 4 m to 19.5 m. The parameters interpreted from the geoelectric data were used to generate the aquifer thickness and resistivity maps, with bedrock relief which were combined to produce the groundwater potential map of the area. These maps were used to characterise the study area into low to high groundwater potential zones. The southwestern and eastern parts were identified as productive groundwater potential zones. The result was validated by taking water column depth from eight existing hand-dug wells. A significant correlation was obtained between the groundwater potential model and the well water column. The surveyed area is generally suitable for hand-dug well aside from the north-eastern part where groundwater potential is low and water volume is observed