Despite extensive research effort, ordinary anomaly detection systems still suffer from
serious drawbacks such as high false alarm rates due to the enormous variety of network …

With the increased dependence on the internet for day to day activities, the need to keep the
networks secure has become more vital. The quest of securing the computer systems and …

Schema matching supports data integration by establishing correspondences between the
attributes of independently designed database schemas. In recent years, various tools for …

This paper presents a neural-network-based active learning procedure for computer network
intrusion detection. Applying data mining and machine learning techniques to network …

Cyber attack detection is an important and challenging area of research in the field of
information technology. In such a scenario, intruders introduce new mechanisms by …

The massive usage of network-based communication technology to satisfy the user's
requirements opens the way for enormous network attacks to be launched. An intrusion …

In recent years, many approaches have been proposed for intrusion detection. In this paper,
we propose a cloud intrusion detection with a new statistical waveform based classification …

In recent years, the development of the Unmanned Aerial System (UAS) involving swarms of
unmanned aerial vehicles (UAVs) has experienced unprecedented progress. However …

Designing, planning, and managing telecommunication, industrial control, and enterprise
networks with special emphasis on effectiveness, efficiency, and reliability without …

In recent years, many approaches have been suggested for Internet and web streaming
detection. In this paper, we propose an approach to signal waveform detection for Internet …