Recent advances in mobile touch screen security authentication methods: A systematic literature review
| Author | Ibrahim T.M. |
| Author | Abdulhamid S.M. |
| Author | Alarood A.A. |
| Author | Chiroma H. |
| Author | Al-garadi M.A. |
| Author | Rana N. |
| Author | Muhammad A.N. |
| Author | Abubakar A. |
| Author | Haruna K. |
| Author | Gabralla L.A. |
| Available date | 2020-04-27T08:34:20Z |
| Publication Date | 2019 |
| Publication Name | Computers and Security |
| Resource | Scopus |
| ISSN | 1674048 |
| Abstract | The security of the smartphone touch screen has attracted considerable attention from academics as well as industry and security experts. The maximum security of the mobile phone touch screen is necessary to protect the user's stored information in the event of loss. Previous reviews in this research domain have focused primarily on biometrics and graphical passwords while leaving out PIN, gesture/pattern and others. In this paper, we present a comprehensive literature review of the recent advances made in mobile touch screen authentication techniques covering PIN, pattern/gesture, biometrics, graphical password and others. A new comprehensive taxonomy of the various multiple class authentication techniques is presented in order to expand the existing taxonomies on single class authentication techniques. The review reveals that the most recent studies that propose new techniques for providing maximum security to smartphone touch screen reveal multi-objective optimization problems. In addition, open research problems and promising future research directions are presented in the paper. Expert researchers can benefit from the review by gaining new insights into touch screen cyber security, and novice researchers may use this paper as a starting point of their inquiry. - 2019 |
| Sponsor | The authors will like to acknowledge Tetfund Institutional Based Research Grant, Federal College of Education (Technical), Gombe. Tahir Musa Ibrahim is currently a logistics manager at Jos Electricity Distribution Plc, Bauchi Trading Zone, since 2014. He received his B.Sc. Computer Science degree in 2011, from a private university; Kwararafa University, Wukari, Taraba State, Nigeria. He is also currently pursuing his M.Sc. degree in Information Technology at National Open University, Nigeria. His current research topic is, recent advances on mobile touch screen security authentication methods: A systematic Literature Survey. He is also a member of International Project Management Professionals (IPMP). Shafi'i Muhammad Abdulhamid received his Ph.D. in Computer Science from Universiti Teknologi Malaysia (UTM), MSc in Computer Science from Bayero University Kano (BUK), Nigeria and a Bachelor of Technology in Mathematics/Computer Science from the Federal University of Technology Minna, Nigeria. His current research interests are in Cyber Security, Cloud computing, Soft Computing and BigData. He has published many academic papers in reputable International journals, conference proceedings and book chapters. He has been appointed as an Editorial board member for UPI JCSIT and IJTRD. He has also been appointed as a reviewer of several ISI and Scopus indexed International journals such as JNCA Elsevier, ASOC Elsevier, EIJ Elsevier, NCAA Springer, BJST Springer, & IJNS. He is a member of IEEE, IACSIT, IAENG, ISOC, Computer Professionals Registration Council of Nigeria (CPN), Cyber Security Experts Association of Nigeria (CSEAN) and Nigerian Computer Society (NCS). Presently, he is a Senior Lecturer at the Department of Cyber Security Science, Federal University of Technology Minna, Nigeria. Ala Abdusalam Alarood is currently an Assistant Professor of Computer Science in Faculty of Computer and Information Technology, University of Jeddah. He obtained his Bachelor, Masters and Ph.D. in Computer Science from Yarmok University Jordan and Universiti Teknologi Malaysia respectively. His current research interest is in the area of Information Security, Networks Security, Steganalysis, Machine Learning, and Neural Network. Haruna Chiroma is a faculty member in Federal College of Education (Technical), Gombe, Nigeria. He received B.Tech. and M.Sc. both in Computer Science from Abubakar Tafawa Balewa University, Nigeria and Bayero University Kano, respectively. He earned a Ph.D. in Artificial Intelligence from University of Malaya, Malaysia. He has published articles relevance to his research interest in international referred journals, edited books, conference proceedings and local journals. He is currently serving on the Technical Program Committee of several international conferences. His main research interest includes metaheuristic algorithms in energy modeling, decision support systems, data mining, machine learning, soft computing, human computer interaction, and social media in education, computer communications, software engineering, and information security. He is a member of the ACM, IEEE, NCS, INNS, and IAENG. Mohammed Ali Al-Garadi received Ph.D. degree from University of Malaya, Malaysia and M.Tech. degree in electronic and communication engineering from Jawaharlal Nehru Technological University, Hyderabad, India. He has published several articles in academic journals indexed in well reputed databases such as ISI-indexed and Scopus-indexed. His field of research is online social networking, text mining, deep learning, and information retrieval. Nadim Rana is a lecturer in the department of Information Systems, Jazan University Kingdom of Saudi Arabia. He is currently a Ph.D. researcher at the Faculty of Computer Science and Information Technology, University Technology Malaysia. His expertise is in Information Systems (Business Informatics), Databases and Data Mining. Amina Nuhu Muhammad currently a Graduate Assistant in the Department of Mathematics, Gombe State University. She received B.Sc. in Computer Science from Gombe State University in 2012. She is now an M.Sc. researcher in the Department of Mathematics, Abubakar Tafawa Balewa University Bauchi. Her research interest is on The Advances of Artificial Neural Network for Internet of Things. Adamu Abubakar received B.S. and M.S. degrees in Geography and Computer Science in School of Science from Bayero University Kano Nigeria in 2004 and 2006, respectively. He obtained his Ph.D. in Information Technology from the Department of Information System Kulliyyah of Information and Communication Technology, International Islamic University Malaysia; Since November 2012, he is with the Department of Computer Science School International Islamic University Malaysia currently as Assistant Professor. His current research interests include Machine Learning and Parallel computing. Khalid Haruna is currently a lecturer in the Department of Computer Science, Bayero University Kano, Nigeria. He received B.Sc. and M.Sc. degrees in Computer Science from Bayero University, Kano, Nigeria in 2011 and 2015 respectively. He has also received his PhD degree in Information Systems from the University of Malaya, Malaysia in 2018. His research interests include Recommender Systems, Internet of Things, Semantic Web, Big Data Analytics, Sentiment Analysis, Soft Set and E-Learning Systems. Lubna A. Gabralla has a Doctor of philosophy in Computer Science from Sudan University of Science & Technology, with a specilisation in Computer science: Artificial intelligence, Datamining, Machine Learning and Soft computing. She has previously held the position of Assistant Professor in the Faculty of Computer Science at Future University, Khartoum, and is also currently an Assistant Professor at the Sudan Academy for Banking Sciences, Khartoum- Sudan. She has published many publications and conference papers, including a book (Crude Oil Price Forecasting Using Machine Learning, ISBN: 978- 3-659-92,377-7). |
| Language | en |
| Publisher | Elsevier Ltd |
| Subject | Biometric security Graphical password Mobile device security Natural algorithms PIN based authentication Touchscreen gesture/pattern |
| Type | Article Review |
| Pagination | 24-Jan |
| Volume Number | 85 |
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