Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0

The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges

Information Technology Solutions, Challenges, and Suggestions for Tackling the COVID-19 Pandemic.

In the next few years, smart farming will reach each and every nook of the world. The prospects of using unmanned aerial vehicles (UAV) for smart farming are immense. However, the cost and the ease in controlling UAVs for smart farming might play an important role for motivating farmers to use UAVs in farming. Mostly, UAVs are controlled by remote controllers using radio waves. There are several technologies such as Wi-Fi or ZigBee that are also used for controlling UAVs. However, Smart Bluetooth (also referred to as Bluetooth Low Energy) is a wireless technology used to transfer data over short distances. Smart Bluetooth is cheaper than other technologies and has the advantage of being available on every smart phone. Farmers can use any smart phone to operate their respective UAVs along with Bluetooth Smart enabled agricultural sensors in the future. However, certain requirements and challenges need to be addressed before UAVs can be operated for smart agriculture-related applications. Hence, in this article, an attempt has been made to explore the types of sensors suitable for smart farming, potential requirements and challenges for operating UAVs in smart agriculture. We have also identified the future applications of using UAVs in smart farming.

Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges

Many challenges continue to hinder digital technologies' adoption by small and medium scale enterprises (SMEs) in developing economies. Comparatively, there are more success stories by SMEs in emer...

Small business awareness and adoption of state-of-the-art technologies in emerging and developing markets, and lessons from the COVID-19 pandemic

Performance of deep learning vs machine learning in plant leaf disease detection

Smart traffic monitoring system using Unmanned Aerial Vehicles (UAVs)

World Health Organization declared
COVID-19 as a pandemic after the breakout in the city of Wuhan, China. The
disease has negatively affected the global economy and daily life. Most of the
countries around the world have imposed travel restrictions, locked down, and
social distancing measures. In the current situation, Information and
Communications Technology is playing a significant role in connecting people.
Majority of the education organizations have adopted online platforms, students
and staff are working from home. Besides, these businesses, e-healthcare
systems, food deliveries, and online grocery shopping have witnessed a very
high demand. Malicious attackers have considered COVID-19 as an opportunity to
launch attacks for financial gains and to promote their evil intents.
Healthcare systems are being attacked with ransomware and resources such as
patient's records confidentiality, and integrity is being compromised. People
are falling prey to phishing attacks through COVID-19 related content. In this
research, we have identified the top ten cybersecurity threats that had and
could take place during the pandemic. We have also discussed the privacy
concerns raised amid COVID-19.

/pdf/ten-deadly-cyber-security-threats-amid-covid-19-pandemic-28dufmenqs.pdf

Ten Deadly Cyber Security Threats Amid COVID-19 Pandemic

In recent years, unmanned aerial vehicles (UAVs)/drones have gained popularity in many areas due to their widely used applications. They are used extensively in military and civil applications such as search and rescue, reconnaissance, monitoring of the environment and traffic, entertainment, and logistics. UAVs usually operate with the assistance of various communication protocols, such as MAVLink, UranusLink, UAVCan, from a remote control or a ground control station (GCS). These protocols of communication are used for messages exchange. These messages contain important UAV status information and control commands that are sent from GCS to the UAV and GCS to the UAV, although these protocols offer better communication. However, most of the messages are not subtle, and there is no delicate way to secure such messages and are vulnerable to several security threats, including man-in-the-middle attack, DoS attack, packet data injection attack, and eavesdropping. It can lead to severe consequences, for example, a UAV crash, stealing important military operation data, falsifying reports in a reconnaissance or search and rescue operation, and much more. A new secure communication protocol is therefore required to ensure that the necessary safety standards for the communication of UAVs are met. This chapter gives an overview of UAV, their working mechanism, types, different communication protocols which are used for communication among UAVs. It also discusses the issues related to these communication protocols and propose a new secure communication protocol for UAVs.

Emerging use of UAV’s: secure communication protocol issues and challenges

Cloud computing has been developed to reduce IT expenses and to provide agile IT services to individual users as well as organizations. It moves computing and data away from desktop and portable PCs into large data centers. This technology gives the opportunity for more innovation in lightweight smart devices and it forms an innovative method of performing business. Cloud computing depends on the internet as a medium for users to access the required services at any time on pay-per-use pattern. However this technology is still in its initial stages of development, as it suffers from threats and vulnerabilities that prevent the users from trusting it. Various malicious activities from illegal users have threatened this technology such as data misuse, inflexible access control and limited monitoring. The occurrence of these threats may result into damaging or illegal access of critical and confidential data of users. This research paper describes the characteristics (threats, vulnerabilities) associated with a stormy cloud.

Sarfraz Nawaz Brohi

Papers

Performance of deep learning vs machine learning in plant leaf disease detection

Smart traffic monitoring system using Unmanned Aerial Vehicles (UAVs)

Ten Deadly Cyber Security Threats Amid COVID-19 Pandemic

Emerging use of UAV’s: secure communication protocol issues and challenges

Seven Deadly Threats and Vulnerabilities in Cloud Computing