Table A.6.

List of acronyms and abbreviations (reported in alphabetical order).

Acronym	Definition
ACall	Audio-Call activity
ACT	Activity-related ground truth
Act-TC	Activity Traffic Classification task
APP	App-related ground truth
APPxACT	Joint App-and-Activity ground truth
App-TC	App Traffic Classification task
bCONTEXT	Branch of Mimetic-All taking as input CONTEXT
bPAY	Branch of Mimetic-All taking as input PAY
bSEQ	Branch of Mimetic-All taking as input SEQ
BiGRU	Bidirectional Gated Recurrent Unit
Chat	Chat activity
CNN	Convolutional Neural Network
CONTEXT	Context Inputs computed at the arrival of the $N_p$th packet
DIR	Packet Direction
DL	Deep Learning
DT	Decision Tree
ECE	Expected Calibration Error
GRU	Gated Recurrent Unit
IAT	Inter-Arrival Time
Joint-TC	Joint App-and-Activity Traffic Classification task
LR	Logistic Regressor
LSTM	Long Short-Term Memory
ML	Machine Learning
MLP	Multi-Layer Perceptron
MM	Multi-Modal architecture
PAY	First $N_b$ bytes of transport-layer payload
PL	Transport-layer Payload Length
RF	Random Forest
RNN	Recurrent Neural Network
SAE	Stacked AutoEncoder
SEQ	Informative fields extracted from the sequence of the first $N_p$ packets
SVM	Support Vector Classifier
TC	Traffic Classification
TCPWIN	TCP Window Size
VCall	Video-Call activity
XAI	eXplainable Artificial Intelligence
#CF	Number of Contextual Biflows
#TP	Number of Trainable Parameters