In recent years, the number of cyber-attacks increased affecting different application types
and targets. Many studies tried to focus on proposing solutions to detect imminent and …

This paper describes a novel application of NLP models to detect denial of service attacks
using only social media as evidence. Individual networks are often slow in reporting attacks …

Software Vulnerabilities have been a major concern for enterprises for evaluating
vulnerabilities of their software products. For assessing vulnerabilities there are various sites …

In cybersecurity, analyzing social network data has become an essential research area due
to its property of providing real-time updates about real-world events. Studies have shown …

Abstract At present, Quality of Experience (QoE) measurements are accomplished by
interrogating users for the perceived quality of a service they just have used. Influenced by …

Human dimension of cybersecurity falls under different practices or strategies. Crowd
sourcing the detection of vulnerabilities is one of them. A lot of intelligence is published on …

In cybersecurity, analyzing social network data has become an essential research area due
to its property of providing real-time updates about real-world events. Studies have shown …

Emerging trends, such as Future Internet, Internet of Things or Internet of Everything pose
new challenges to the network and service management. Due to the increasing complexity …