Add to ORKGThis paper describes a distributed framework for supporting adaptive ensemble-based intrusion detection. Open issues and limitations of actual state-of-the-art proposals, are analyzed and the main functionalities of a suitable architecture that, based on actual, emerging research trends, finally defines an innovative ensemble-based network intrusion detection system
Intrusion detection is an essential component of computer security mecha-nisms. Intrusion detection ...
The proliferation of wideband connections while opening the market to a wealth of new web based appl...
The heterogeneity and complexity of modern networks and services urge the requirement for flexible a...
This paper proposes anatomy and main functionalities of a distributed framework for supporting adapt...
The security of computer networks plays a strategic role in modern computer systems. In order to en...
Intrusion detection systems are used for monitoring the network data, analyze them and find the intr...
Abstract. The IT infrastructure of today needs to be ready to defend against massive cyber-attacks w...
Undoubtedly, the advancements in Machine Learning (ML) and especially ensemble learning models enabl...
AbstractThe master thesis focuses on ensemble approaches applied to intrusion detection systems (IDS...
Background: Building an effective Intrusion detection system in a multi-attack classification enviro...
Dottorato di Ricerca in Information and Communication Engineering For Pervasive Intelligent Environm...
Of late, Network Security Research is taking center stage given the vulnerability of computing ecosy...
Abstract. Current attacks to distributed systems involve multiple steps, due to attackers usually ta...
In this paper we describe the main ensemble learning techniques and their application in the cyberse...
Nowadays, it is clear how the network services represent a widespread element, which is absolutely e...
Intrusion detection is an essential component of computer security mecha-nisms. Intrusion detection ...
The proliferation of wideband connections while opening the market to a wealth of new web based appl...
The heterogeneity and complexity of modern networks and services urge the requirement for flexible a...
This paper proposes anatomy and main functionalities of a distributed framework for supporting adapt...
The security of computer networks plays a strategic role in modern computer systems. In order to en...
Intrusion detection systems are used for monitoring the network data, analyze them and find the intr...
Abstract. The IT infrastructure of today needs to be ready to defend against massive cyber-attacks w...
Undoubtedly, the advancements in Machine Learning (ML) and especially ensemble learning models enabl...
AbstractThe master thesis focuses on ensemble approaches applied to intrusion detection systems (IDS...
Background: Building an effective Intrusion detection system in a multi-attack classification enviro...
Dottorato di Ricerca in Information and Communication Engineering For Pervasive Intelligent Environm...
Of late, Network Security Research is taking center stage given the vulnerability of computing ecosy...
Abstract. Current attacks to distributed systems involve multiple steps, due to attackers usually ta...
In this paper we describe the main ensemble learning techniques and their application in the cyberse...
Nowadays, it is clear how the network services represent a widespread element, which is absolutely e...
Intrusion detection is an essential component of computer security mecha-nisms. Intrusion detection ...
The proliferation of wideband connections while opening the market to a wealth of new web based appl...
The heterogeneity and complexity of modern networks and services urge the requirement for flexible a...