IoT Security 249
However, the proposed system is only about flight location update and not applicable
to control the drone on the flight.
Shriram et al. [5] have discussed drone delivery assurance, where a drone delivers a
package of goods to a destination. Here, assurance refers delivering to a correct destination after verifying the recipient and its location while taking pictures as evidence. When
a drone arrives near the delivery location, a notification is sent to the receiver. The
receiver then sends the goods purchase code to the drone using Wi‐Fi or Bluetooth. The
drone receives the purchase code, authenticates it and after successful authentication,
lands and delivers the goods. In case of failed authentication on the purchase code, the
drone will not land. Global Navigation Satellite System (GNSS) is used for positioning
purposes. In addition, cellular communication is used for establishing connection with
other devices. The proposed architecture lacks a security mechanism to verify or authorize the drone; a malicious drone may arrive and take the goods using a fake purchase
code to authenticate.
Anthony et al. [6] proposed a system and a method for managing communications in
robot competitions. The communication takes place over a wireless network between
a network arena controller and a robot controller. The network arena controller provides security keys and firewall policies to robot controllers; and robot controllers
execute those firewall policies to secure communications between the brand or operator stations and robots. The network arena controller may also monitor and log communication traffic to verify connectivity and monitor battery level, signal strength and
robot status. The brand or operator stations may include any software, hardware and/
or firmware, which are configured to monitor and control robots associated to it.
These stations give commands to robots to perform an action. The proposed system
prevents one or more intentional or unintentional security risks, such as Denial of
Service (DoS) attack and spoofing attack via bandwidth monitoring. Upon detection
of intentional flooding, the system either imposes bandwidth limitation for the robot
or totally blocks the robot using a firewall.
Studies are mostly focused on robot applications, such as automated drone security
system for surveillance, drone delivery assurance, and drone communication management with security keys and firewall policies. Yet there has not been specific research
that concentrates on MCR security for Mobile Virtual Network Operators (MVNOs);
none of the current studies in the relevant area have utilized data‐mining techniques for
security threat analysis. This study applies data‐mining mechanisms in an orchestrated
security platform to detect intrusion in robots belonging to MVNOs. The proposed
platform could detect and prevent different types of attacks on both robot and LRC,
which are explained in Section 11.4.
11.3 Literature Overview and Research Motivation
With an increased data rate, larger number of users, lower latency, higher reliability and
wide network coverage, 5G network would be promising to meet the needs of mobile
communication systems and end users. The 5G network would be capable of several
Gigabit per second (Gbps) per user data rate to satisfy growing demand for ultra‐HD
and 3D video content [7]. However, there are still devices that need lower bandwidths,
such as remote health monitoring. In remote health monitoring, patients have wearable
However, the proposed system is only about flight location update and not applicable
to control the drone on the flight.
Shriram et al. [5] have discussed drone delivery assurance, where a drone delivers a
package of goods to a destination. Here, assurance refers delivering to a correct destination after verifying the recipient and its location while taking pictures as evidence. When
a drone arrives near the delivery location, a notification is sent to the receiver. The
receiver then sends the goods purchase code to the drone using Wi‐Fi or Bluetooth. The
drone receives the purchase code, authenticates it and after successful authentication,
lands and delivers the goods. In case of failed authentication on the purchase code, the
drone will not land. Global Navigation Satellite System (GNSS) is used for positioning
purposes. In addition, cellular communication is used for establishing connection with
other devices. The proposed architecture lacks a security mechanism to verify or authorize the drone; a malicious drone may arrive and take the goods using a fake purchase
code to authenticate.
Anthony et al. [6] proposed a system and a method for managing communications in
robot competitions. The communication takes place over a wireless network between
a network arena controller and a robot controller. The network arena controller provides security keys and firewall policies to robot controllers; and robot controllers
execute those firewall policies to secure communications between the brand or operator stations and robots. The network arena controller may also monitor and log communication traffic to verify connectivity and monitor battery level, signal strength and
robot status. The brand or operator stations may include any software, hardware and/
or firmware, which are configured to monitor and control robots associated to it.
These stations give commands to robots to perform an action. The proposed system
prevents one or more intentional or unintentional security risks, such as Denial of
Service (DoS) attack and spoofing attack via bandwidth monitoring. Upon detection
of intentional flooding, the system either imposes bandwidth limitation for the robot
or totally blocks the robot using a firewall.
Studies are mostly focused on robot applications, such as automated drone security
system for surveillance, drone delivery assurance, and drone communication management with security keys and firewall policies. Yet there has not been specific research
that concentrates on MCR security for Mobile Virtual Network Operators (MVNOs);
none of the current studies in the relevant area have utilized data‐mining techniques for
security threat analysis. This study applies data‐mining mechanisms in an orchestrated
security platform to detect intrusion in robots belonging to MVNOs. The proposed
platform could detect and prevent different types of attacks on both robot and LRC,
which are explained in Section 11.4.
11.3 Literature Overview and Research Motivation
With an increased data rate, larger number of users, lower latency, higher reliability and
wide network coverage, 5G network would be promising to meet the needs of mobile
communication systems and end users. The 5G network would be capable of several
Gigabit per second (Gbps) per user data rate to satisfy growing demand for ultra‐HD
and 3D video content [7]. However, there are still devices that need lower bandwidths,
such as remote health monitoring. In remote health monitoring, patients have wearable