IAENG

 Conference

 On Forensics Investigation Models

 Eso Dieko, Alese Boniface K., Thompson Aderonke F. And Iyare Otasowie

 2014

In any court case, the technical expert’s evidence isopen to legal challenge and such challenges, irrespective of theoutcome, might delay the process of litigation. Hence, it ispertinent that the investigator and expert pre-empt any delayby making the report as comprehensive and complete aspossible. The investigator can thus follow a digital forensicprocess model to aid the digital investigation. The challengetherefore in digital forensics is to find and discover forensicallyinteresting, suspicious or useful patterns within often verylarge data sets. Consequently, this paper presents a dynamic,adaptive clustering model to arrange unstructured documentsinto content-based homogeneous groups. The documentclustering framework, based on kernel k-means which relies onRadial Basis Function (RBF) has demonstrated can profitablysupport intelligence and security activities in identifying,tracking, extracting, classifying and discovering patterns, sothat the outcomes can generate alert notifications accordingly.Also, the method can generate consistent structures forinformation access and retrieval. 

 Proceedings Of The World Congress On Engineering And Computer Science

 Conferenceproceeding

 A Bayesian Network Model For Risk Management In Cyber Situation

 Bode Moyinoluwa A., Alese Boniface K., Thompson Aderonke F. And Iyare Otasowie

 2014

The transformation in e-commerce with the advent of other internet based activities has increased the impact of Cyber-attacks on organizations and nations at large. However, tracking these attacks and determining risks posed ensure the overall security in cyber situation and invariably enhances communication and economic growth. Consequently, this paper presents a robust predictive model based on Bayes Theorem, capable of distinguishing between bad connections called threats or attacks, and good which is known as normal connections. The model analyses the state of network traffic and determine its risk using the KDD Cup 1999 dataset. In conclusion, comparison of the Bayes model with Association Rule Mining model shows efficient performance, and an improved performance with a Genetic Algorithm technique 

 Proceedings Of The World Congress On Engineering

 Conferenceproceeding

 Analysing Issues Of Cyber Threats In Nigeria

 Boniface K. Alese, Aderonke F. Thompson, Korede V. Owa, Otasowie Iyare., Olufemi T. Adebayo

 2014

This paper examines the pattern of cyber threats and information security in line with the Nigerian approach to meeting these challenges in the 21st century. Investigation was carried out on the level of awareness and compliance with the existing cyber security policies among the cyberspace users. The level of enforcement of these policies or measures by cybercafé administrators and government security agencies is also considered. The research employed primarily qualitative methods in the design and analysis. A questionnaire was designed and used in the study. Data obtained from the survey through the questionnaires administered were subjected to analysis using the Statistical Package for Social Sciences (SPSS). The results of the analysis suggest the major group of the populace that are mostly active in committing cybercrime 

 Anale. Seria Informatica

 Conferenceproceeding

 A NEURO--FUZZY SYSTEM FOR DECEPTION DETECTION DURING INTERROGATION IN LAW ENFORCEMENT AGENCY

 Otasowiie Iyare,, Boniiface Kayode Allese,, Ollumiide Adewalle,, Samuell Fallaki

 2013

The development of soft-computing approaches in law enforcement agencies has a wide range of application to intelligence analysis in the face of interrogation and evidence gathering during investigation. The capability of these tools to alleviate attempted deception by an informant or suspect is affected by many issues including the type of critical method, the type of hybridization used, and the ability to address issues of source reliability and information credibility. This work at the end will presents a hybrid model using neuro-fuzzy system to aid in the detection of deception during interrogation 

 Nil

 Disertations

 Design Of A Secure Information Sharing System For E-Policing (A Case Study Of Ondo State Police Command)

 Iyare O

 2010

Nil

 

 Nil

 Disertations

 Computerised Payroll Application (A Case Study Of Ebonyi State University Teaching Hospital)B.Sc Dissertation, Ebonyi State University, Abakaliki, Ebonyi State.

 Iyare O

 2005

Nil