Dr. Subrata Chowdhury
SVCET Engineering College (Chittoor), India
E-mail: subrata895@gmail.com


Dr. Muhammad Awais Javed
Department of Electrical and Computer Engineering
COMSATS University Islamabad, Pakistan
E-mail: md.awaisjaved@gmail.com


Dr. Ben Othman Soufiene
PRINCE Laboratory Research, ISITcom, Hammam Sousse
University of Sousse, Tunisia
E-mail: ben_oth_soufiene@yahoo.fr

In the past few years, the Internet of Things (IoT) technologies have resulted in the emergence of several smart applications in various critical areas such as smart health, mobility, energy, cities, etc. IoT intends to link a wide range of intelligent devices and monitor systems and smart appliances in order to regulate, store, share, and analyze gathered information. The major challenge with smart ecosystems is that they might expose various vulnerabilities that can be exploited by malevolent users, jeopardizing the safety and privacy of collected data. According to Cybersecurity Ventures, worldwide cybercrime expenditures would increase by 15% each year over the next five years, approaching $10.5 trillion in 2025, up from $3 trillion in 2015. As a result, there is a critical need to investigate and analyze the present state of malware, as well as to suggest appropriate solutions to safeguard our assets and smart applications from malware attacks. The DALS-WSN-IoT 2022 Special Session at the 14th International Conference on Computational Collective Intelligence (ICCCI 2022) aims to provide the most up-to-date findings on malware analytics techniques in the smart world. The goal of this special session is to encourage malware research in areas such as design approaches, quantum cryptography, automation techniques, and intrusion detection/classification/prevention systems. Topics to be discussed in this special session include (but are not limited to) the following:

• Models of Wireless Systems and IoT
• Big Data Analytics and IoT
• Data Analytics in Health, Business and Education Services
• Blockchain for intelligent communication security
• Real-time data analysis and management
• Cloud computing and fog computing IoT wireless networks and systems
• Security, reliability, and resilience in IoT communication
• Low power wide area networks for Internet of Things, e.g., Long Range (LoRa), Narrowband Internet of Things (NB-IoT)
• IoT, Edge computing, and Cyber-Physical System (CPS) in communication and networking system