Dr. Mohamed Amine FERRAG

Senior Member, IEEE, Department of Computer Science, Guelma University, Algeria .
MOHAMED AMINE FERRAG (IEEE Senior Member) received the Bachelor’s, Master’s, Ph.D., and Habilitation degrees in computer science from Badji Mokhtar—Annaba University, Annaba, Algeria, in June, 2008, June, 2010, June, 2014, and April, 2019, respectively. Since October 2014, he has been a Senior Lecturer with the Department of Computer Science, Guelma University, Guelma, Algeria.
Since July 2019, he has been a Visiting Senior Researcher with the NAU-Lincoln Joint Research Center of Intelligent Engineering, Nanjing Agricultural University, Nanjing, China. His research interests include wireless network security, network coding security, and applied cryptography. He has published over 90 papers in international journals and conferences in the above areas. He hasbeen conducting several research projects with international collaborations on these topics. He was a recipient of the 2021 IEEE TEM BEST PAPER AWARD. His current H-index is 24, i10-index is 42, and 3388 citations in Google Scholar Citation.
Dr. Ferrag is featured in Stanford University’s list of the world’s Top 2 % scientists for the years 2019 and 2020. Some of his research findings are published in top-cited journals, such as the IEEE Communications Surveys and Tutorials, IEEE internet of things journal, IEEE Transactions on Engineering Management, IEEE Access, IEEE/CAA Journal of Automatica Sinica, MDPI Sensors, Journal of Information Security and Applications (Elsevier), Transactions on Emerging Telecommunications Technologies (Wiley), Telecommunication Systems (Springer), International Journal of Communication Systems (Wiley), Sustainable Cities and Society (Elsevier), and Journal of Network and Computer Applications (Elsevier).
He is currently serving on various editorial positions, such as Editorial Board Member in Journals (Indexed SCI and Scopus), such as, ICT Express (JCR IF 4.317), IET Networks (Citescore 4.1), International Journal of Internet Technology and Secured Transactions (Citescore 1.0), Security and Communication Networks (JCR IF 1.791), and Journal of Sensor and Actuator Networks(Citescore 6.2). He reviewed more than 1160 papers (verified by publons) for top-cited journals, including, Nature, IEEE transactions, Elsevier, Springer,Wiley journals,etc.
Pr. LEANDROS MAGLARAS

School of Computer Science and Informatics De Montfort University, Leicester, UK
I am Professor in the School of Computer Science and Informatics of De Montfort University conducting research in the Cyber Security Centre & Software Technology Research laboratory.
I obtained the B.Sc. (M.Sc. equivalent) in Electrical and Computer Engineering from Aristotle University of Thessaloniki, Greece in 1998, M.Sc. in Industrial Production and Management from University of Thessaly in 2004 and M.Sc. and PhD degrees in Electrical & Computer Engineering from University of Thessaly, in 2008 and 2014 respectively.
From September 2017 to November 2019, I was the Director of the Cyber Security Directorate and Head of the National Cyber Security Authority of Greece. I was leading a group of highly skilled professionals in order to organize public sector in Greece in terms of cyber security of systems and applications. We were implementing NIS directive in the Greek Public sector by organizing several security awareness events, dedicated educational programs, proposing security policies and measures and running focused projects that can foster the security of systems and applications of the Greek public sector. We also focused on securing Critical infrastructures of Greece, following the directions given by the NIS directive and we cooperated with all major stakeholders in Greece both from the public and the private sector. We drafted the Greek Cyber Security Strategy (03/2018), the NIS Greek National Law (11/2018) and the Ministerial Decree (10/2019) that included the incident response procedure, the list of OES of Greece and minimum security requirements. During my tenure as the Director of the National Cyber Security Authority, Greece managed to be ranked 1st among 160 countries (10/2019) in the NCSI index which measures the preparedness of countries to prevent cyber threats and manage cyber incidents, climbing 31 positions in less than 2 years.I have participated in various research programs investigating vehicular and ICT technologies (C4C-project.eu, reduction-project.eu), sustainable development (islepact.eu, smilegov), cyber security (HCYMAF [NCSC UK], CONCORDIA [H2020], COCKPITCI [FP7], FASTPASS [FP7]) and optimization and prediction of the dielectric behavior of air gaps (optithesi.webs.com).I serve on the Editorial Board of several International peer-reviewed journals such as IEEE ACCESS, ELSEVIER ARRAY, ELSEVIER ICT EXPRESS, Wiley Jounral on Security & Communication Networks, etc. I am a Senior Member of the Institute of Electrical & Electronic Engineers (IEEE) and a member of the Institution of Engineering and Technology (IET) and the Technical Chamber of Greece (TEE).
Title: Innovative privacy preservation and authentication mechanisms
In this talk, we are going to cover novel privacy preservation and authentication mechanisms. In the first part, our novel Secure Node End-2-End Encryption (SNE2EE) framework will be presented. SNE2EE offers both a software and hardware solution by extending encryption technologies and techniques to the end nodes to increase privacy. The SNE2EE mechanism can address the issues concerning spyware and stalkerware at both the individual and community levels.In the second part, our novel two-factor honeytoken authentication (2FHA) mechanism will be demonstrated. The proposed solution aims at enhancing the authentication mechanism, preventing penetrations, password thefts, and attempted break-ins towards securing computing systems. The 2FHA mechanism approach is two-folded; it implements a two-factor authentication scheme to prevent unauthorized access, accompanied by Honeyword principles to detect corrupted or stolen tokens. Both can be integrated into any platform or web application with the use of QR codes and a mobile phone.
PR. NASSIRA GHOUALMI-ZINE

Department of Computer Science , Annaba University, Algeria .
Professor Nassira Ghoualmi-Zine has state doctorate in computer sciences mention network. She is a lecturer in the department of Computer Science at Badji Mokhtar University-Annaba-Algeria since 1985. She was head of computer science department at 2000-2002. She is director of Networks and Systems laboratory since 2011. She’s head of the Master and Doctoral entitled (Network and computer security) since 2007 also head of doctoral committee for computer Science since 2016.She’s chairman of IEEE/ ICNAS since 2013 conference held by Network and Systems Laboratory. Guest editor for IGI-GLOBAL journal in 2019. Her research includes wireless networks as Vanet, Sensors, Energy in wireless, Access Control, Quality of service, Secured protocol, Cybersecurity, Game theory…
Title: Quantum cryptography: is Future?
Cryptography is one of the oldest art that man has used when he created the ‘secret’. Since then, this art has evolved with the evolution of men and the contexts in which they live.
Modern cryptography then is used with digital equipment manipulated by man on a daily
basis. The secrets are multiple, requiring more robust protections.
They are exchanged between IOT connected objects and via vulnerable waves.
Cryptosystems are numerous and the security of exchanges exploits them in different ways.
Now day, the future directs us towards quantum cryptography, which has since evolved with the evolution of the photon and its manipulations.
several researches are in progress to create the quantum PC on the one hand and to improve the cryptosystems based on the photon characteristic’s.
During this talk, we present the basic principles of quantum cryptography as well as its
evolutions in the part. In the second part we present some simulator of qbit and quantum
cryptograpy.
DR. ABDELOUAHID DERHAB

Dr. Abdelouahid Derhab , Center of Excellence in Information Assurance ,King Saud University, Kingdom of Saudi Arabia.
ABDELOUAHID DERHAB received the Engineer’s, M.Sc., and Ph.D. degrees in computer science from the University of Sciences and Technology Houari Boummediene (USTHB), Algiers, in 2001, 2003, and 2007, respectively. He was a Computer Science Engineer and a full-time Researcher with the CERIST Research Center, Algeria, from 2002 to 2012. He was an Assistant Professor with King Saud University, from 2012 to 2018. He is currently an Associate Professor with the Center of Excellence in Information Assurance (COEIA), King Saud University. He is also a Cyber-Security Policy Analyst with Global Foundation for Cyber Studies and Research (GFCYBER). He is the author of more than 100 papers in different peer-reviewed journals and conferences.
His research interests include malware analysis, networks security, intrusiondetection, mobile security, the Internet of Things, smart grid, blockchain, and cyber security policies. He also served as the workshop chair, the technical committee chair, and a reviewer for many journals and international conferences.
Title: Intrusion detection systems using machine learning for the security of autonomous vehicles
The emergence of smart cars has revolutionized the automotive industry. Today’s vehicles are equipped with different types of electronic control units (ECUs) that enable autonomous functionalities like self-driving, self-parking, lane keeping, and collision avoidance. The ECUs are connected to each other through an in-vehicle network, named Controller Area Network. In this talk, we will present the different cyber attacks that target autonomous vehicles and explain how an intrusion detection system (IDS) using machine learning can play a role in securing the Controller Area Network. We will also discuss the main research contributions for the security of autonomous vehicles. Specifically, we will describe our IDS, named Histogram-based Intrusion Detection and Filtering framework. Next, we will talk about the machine learning explainability issue that limits the acceptability of machine learning in autonomous vehicles, and how it can be addressed using our novel intrusion detection system based on rule extraction methods from Deep Neural Networks.
PR. MOHAMMED LAMINE KHERFI

General Director of digitization and networks at the Ministry of Higher Education.
He received the B.S. degree in computer science from the National Institute of Computer Science, Algeria, and the M.Sc. and Ph.D. degrees in computer science from the Université de Sherbrooke, Canada.
From 2005 to 2013, he was a Professor with the Department of Computer Science, Université du Québec à Trois-Rivières (UQTR), Canada. He is currently a Professor with the Department of Computer Science, University of Kasdi Merbah, Ouargla, Algeria, and the General Director of digitization and networks at the
Ministry of Higher Education.
He holds a U.S. patent. His research interests include image and multimedia processing, computer vision, and machine learning.
Title : Deep Random Neural Network and its application to Cybersecurity and the IoT
Deep learning and Machine learning are almost everywhere today. They have been successfully applied to different fields including Computer vision, Natural langage processing, Prediction, Computer securit, IoT, etc.
Recently, we have made some contributions in Deep learning. We proposed a new model based on Random neural network that have been applied for Prediciton. We also have developed some new algorithms for embedding and clustering, that we successfully applied to problems including document organization.
In this keynote I will give an overview of those algorithms, and show some possible applications in the fields of Cybersecurity and IoT.
Dr. Mourad Bouache

Team leader at Intel
Dr. Mourad Bouache, 38, who has been practicing since 2012 in Silicon Valley, in the United States of America, where he leads teams of researchers.
Following his university career, Mourad became interested in the world of conferences and gave more than 150 conferences across the United States for the biggest brands such as Apple, Mercedes, etc. He was scouted and received five job offers from Apple, Yahoo, Intel, and two lesser-known ones, eventually joining Yahoo, where he started out as an engineer. Over the years, he rose through the ranks, to now be one of the team leaders at Intel.
Keynote title:
Democratizing AI and Data Science