Employing a Machine Learning Approach to Detect Combined Internet of Things Attacks against Two Objective Functions Using a Novel Dataset

Table 2

Explanation of dataset features.

Feature	Remarks
Node	Node ID
Received	Packets successfully received
Dups	Duplicate packets received
Lost	Estimated lost packets
Hops	Average number of hops
RtMetric	Average routing metric
ETX	Expected transmission count
Churn	Next hop change count
Beacon interval	Broadcast by node to sync the RPL network
Reboots	Total number of reboots
CPU power	Average CPU power consumption
LPM power	Average low-power mode consumption
Listen power	Average listen power
Transmit power	Average transmission power
Power	Average power consumption
On-time	Power measure time
Listen duty cycle	Percentage time listening signal is active
Transmit duty cycle	Percentage time transmission signal is active
Avg interpacket time	Average delay between packets
Min interpacket time	Minimum delay for the packet to arrive
Max interpacket time	Maximum delay for the packet to arrive
Simulation time	Average simulation time
Malicious/benign	Benign activity or type of attack
Objective function	MRHOF or OF0