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Conference Object Citation - Scopus: 22An Improved Model for Alleviating Layer Seven Distributed Denial of Service Intrusion on Webserver(Institute of Physics Publishing, 2019) Odusami,M.; Misra,S.; Adetiba,E.; Abayomi-Alli,O.; Damasevicius,R.; Ahuja,R.Application layer or Layer Seven Distributed Denial of service (L7DDoS) intrusion is one of the greatest threats that intrusion a webserver. The hackers have different motives which could be for Extortion, Exfiltration e.t.c Researchers have employed several methods to prevent L7DDoS intrusion especially using machine learning. Although Machine learning techniques has proven to be very effective with high detection accuracy, the approach still find it difficult to detect Hyper Text Transfer Protocol (HTTP) based botnet traffic on web server with high false positive rate. The adoption of deep learning based technique using Long Short Term Memory (LSTM) will alleviate this problem. © 2019 Published under licence by IOP Publishing Ltd.Conference Object Citation - Scopus: 13Predicting Web Service Maintainability Via Object-Oriented Metrics: a Statistics-Based Approach(2012) Coscia,J.L.O.; Crasso,M.; Mateos,C.; Zunino,A.; Misra,S.The Service-Oriented Computing paradigm enables the construction of distributed systems by assembling loosely coupled pieces of software called services, which have clear interfaces to their functionalities. Service interface descriptions have many aspects, such as complexity and quality, all of which can be measured. This paper presents empirical evidence showing that services interfaces maintainability can be predicted by applying traditional software metrics in service implementations. A total of 11 source code level metrics and 5 service interface metrics have been statistically correlated using 154 real world services. © 2012 Springer-Verlag.Conference Object Citation - Scopus: 4An Improved Feature Selection Method for Short Text Classification(Institute of Physics Publishing, 2019) Abayomi-Alli,O.; Misra,S.; Matthews,V.O.; Odusami,M.; Abayomi-Alli,A.; Ahuja,R.; Maskeliunas,R.Text has become one of the widest means of communication on mobile devices due to cheap rate and convenience for instance short text, web document, emails, instant messages. The exponential growth of text documents shared among users globally has increased the threat of misclassification associated with mobile devices such as Spam, Phishing, License to kill, Malware and privacy issues. Existing studies have shown that the major problem associated with text message classification is the poor representation of feature thus reducing accuracy and increasing f-measure rate. Thus, a modified Genetic Algorithm (GA) for improve feature selection and Artificial Immune System (AIS) algorithm was proposed for effective text classification in mobile short messages. The system will be deployed on an Android OS. © 2019 Published under licence by IOP Publishing Ltd.Conference Object Citation - Scopus: 12Design and Implementation of a Mobile Webcast Application With Google Analytics and Cloud Messaging Functionality(Institute of Physics Publishing, 2019) Jonathan,O.; Misra,S.; Ibanga,E.; Maskeliunas,R.; Damasevicius,R.; Ahuja,R.Church cast is an application developed to bring the messages of ministries closer to their members by harnessing the Internet and mobile devices. Due to the very busy schedules of people and religious restrictions in some countries, people are not usually able to be physically present at their locations of worship to listen to or watch their ministers. Existing applications developed in the past like DOMI radio and Redemption TV Media were limited to only audio, poor and unintuitive user interfaces and not providing the administrator any interactions with the users of the application. In this work, we develop an Android-based application that makes it possible for users to watch live streams and on-demand videos from their ministries using their mobile devices. The application also incorporates sharing and analytics functionalities to enable users to share videos messages with loved ones and help the administrator monitor users' activities on the application respectively. The cloud messaging functionality enables the administrator to send messages such as announcements to user devices as push notifications. This would eventually increase user knowledge and interaction with the activities going on in their respective places of worship. © 2019 Published under licence by IOP Publishing Ltd.Conference Object Citation - Scopus: 3Conflict resolution via emerging technologies?(Institute of Physics Publishing, 2019) Yinka-Banjo,C.; Ugot,O.-A.; Misra,S.; Adewumi,A.; Damasevicius,R.; Maskeliunas,R.This paper presents a review of the current techniques and approaches adopted in conflict resolution in Multi-Agent Systems (MAS). The review highlights the strength and weaknesses, and thus, their success in fostering cooperation and collaboration in multi-agent systems. We survey alternative approaches to conflict resolution that rely on emerging technologies such as deep learning. From the survey, we discuss the benefits of using these emerging technologies in the conflict resolution process. © 2019 Published under licence by IOP Publishing Ltd.
