THE OVERLOOKED METRIC: RESOURCE EFFICIENCY IN IOT ATTACK DETECTION EVALUATION
the proliferation of threats within the Internet of Things (IoT) environment is intensifying, largely due to the inherent limitations of this technology. The panoply of anti-threats based on artificial intelligence suffer from the complete embedment of models in limited resources.…
HARNESSING WASSERSTEIN GANS FOR EFFECTIVE UNSUPERVISED REPRESENTATION LEARNING
In recent years, representational learning has attracted considerable attention. However, unsupervised representation learning has received less attention compared to supervised representation learning. This paper introduces a combination of a deep neural network (DNN) and a generative adversarial network (GAN) that…
LIGHTWEIGHT AND FAST EXPONENTIATION METHODS IN GALOIS FIELDS
Algebraic operations in Galois fields present properties that render them suitable for use in implementations of cryptographic primitives. Two fundamental operations of interest are modulo squaring and multiplication, whose implementations can be accelerated by using Galois field algebra. An approach…
OPT56IMIZED STRESS FEATURE EXTRACTION FROM COVID-19 DATA FOR MENTAL HEALTH APPLICATIONS
The COVID-19 pandemic has caused significant changes in people's lives, resulting in everyone suffering from mental health issues such as stress, financial pressure, depression, frustration, and anxiety. Identifying critical features associated with mental stress can help healthcare professionals to develop…