@article{820ebd563e64471593828e85b466c3bb,
title = "Socioscope: I know who you are, a robo, human caller or service number",
keywords = "Robocalls, Social network analysis, Telemarketers, Telephone call records, Telephone spam detection, User characterization",
author = "Azad, {Muahammad Ajmal} and Mamoun Alazab and Farhan Riaz and Junaid Arshad and Tariq Abullah",
note = "Funding Information: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Muhammad Ajmal Azad received the PhD (2016) degree in Electrical and Computer Engineering from the University of Porto, Portugal and MS (2008) in Electronics Engineering from the International Islamic University Pakistan. He is lecturer in Cyber Security at the University of Derby UK, Before joining University of Derby, he was research fellow (an equivalence of lecturer in UK) in department of computer science at The University of Warwick and research associate at the at Newcastle University. He also spent more than 5 years in the telecommunication company. His research interests include privacy-aware collaboration, reputation aggregation, privacy protection, privacy aware outsourcing of network logs and spam detection in telecommunication network. Dr. Mamoun Alazab received his PhD degree is in Computer Science from the Federation University of Australia, School of Science, Information Technology and Engineering. He is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia. He is a cyber security researcher and practitioner with industry and academic experience. Dr Alazab{\textquoteright}s research is multidisciplinary that focuses on cyber security and digital forensics of computer systems including current and emerging issues in the cyber environment like cyber–physical systems and internet of things, by taking into consideration the unique challenges present in these environments, with a focus on cybercrime detection and prevention. He has more than 100 research papers, two of his papers were selected as the featured articles, and two other papers received the best paper award. He is the recipient of short fellowship from Japan Society for the Promotion of Science (JSPS) based on his nomination from the Australian Academy of Science. Also, two teaching and learning awards. Farhan Riaz received his B.E. degree from National University of Sciences and Technology, Islamabad, Pakistan in 2004, M.S. degree from Technical University of Munich, Germany in 2007 and Ph.D. degree from University of Porto, Portugal in 2012. Since 2012, he is serving at Assistant Professor at the National University of Sciences and Technology, Islamabad, Pakistan. He has about 10 years of experience in biomedical signal and image processing, applied machine learning and computer vision. The applied areas of his research include dermoscopic image analysis, analysis of gastroenterology images, processing of PPG signals, processing of EEG signals, processing of PCG signals and processing of heart ultrasound videos. He is working in close collaboration with Instituto de Telecomunicacoes, Porto, Portugal for pursuing his research interests where he regularly visits as a consultant on computer vision on various projects. He has 50+ publications in impact factor international journals and peer reviewed conference publications. Last but not the least, he was part of the team that won silver medal in Asia Pacific ICT Alliance Award (APICTA) in 2013. Junaid Arshad is a Senior Lecturer in cybersecurity emphasizing impact of novel and emerging technological paradigms such as blockchain, distributed systems, cloud computing and big data. He has worked as distributed systems security specialist for a number of EU funded projects focusing on mitigating specific security threats to the project partners. He has been actively involved in publishing high quality research within this field and has a number of publications at high quality venues including journals, book chapter, conferences and workshops. He has served on Program and Review Committee of a number of journals and conferences. Dr Tariq Abdullah is an Academic Lead- Computing & IT and a research fellow at the University of Derby UK. He completed his PhD from Delft University of Technology (TUDelft). Dr Abdullah has vast experience of leading the design, development and implementation of R&D projects from both industry and academia. He successfully lead and completed collaborative R&D projects with national and international partners and mostly focused on academia-industry collaboration in my career. His research interests include video analytics, big data analysis, machine learning and distributed systems. Publisher Copyright: {\textcopyright} 2019 Elsevier B.V.",
year = "2020",
month = apr,
doi = "10.1016/j.future.2019.11.007",
language = "English",
volume = "105",
pages = "297--307",
journal = "Future Generation Computer Systems",
issn = "0167-739X",
publisher = "North-Holland",
}