Due to the digitization and Internet of Things revolutions, the present electronic world has a
wealth of cybersecurity data. Efficiently resolving cyber anomalies and attacks is becoming a …

Context There are many datasets for training and evaluating models to detect web attacks,
labeling each request as normal or attack. Web attack protection tools must provide …

The role of electricity theft detection (ETD) is critical to maintain cost-efficiency in smart grids.
However, existing ETD methods cannot efficiently handle the sheer volume of data now …

Electricity theft (ET) causes major revenue loss in power utilities. It reduces the quality of
supply, raises production cost, causes legal consumers to pay the higher cost, and impacts …

The paper presents a novel approach to investigating mistakes in machine learning model
operations. The considered approach is the basis for BrightBox–a diagnostic technology that …

Massive machine-type communications (mMTCs) network slices in 5G aim to connect a
massive number of MTC devices, opening the door for a widened attack surface. Network …

“IEEE BigData 2019 Cup: Suspicious Network Event Recognition” was a data mining
competition organized jointly by companies Security On-Demand and QED Software at the …

Over the past few years, there has been an undeniable surge in the deployment of IoT
devices. However, this rapid growth has brought new challenges in cybersecurity, as …

When it comes to interactions that occur in the contemporary global environment
characterized by increased use of computers and information technology, cybersecurity …

At anytime in a tactics game, given the current status of the game players, it's always
interesting to predict who is going to win the game in the end. This is the challenge defined …