Intrusion detection technique is important subtask that aggregates alert. Alert aggregation goal is to identify & to cluster different alert belonging to a specific attack instance which has been initiated by an attacker at a certain point in time. Meta-alerts may then be the basis for reporting to security experts or for communication within a distributed intrusion detection system. Alert aggregation which is based on a dynamic, probabilistic model of the current attack situation, it can be regarded as a data stream version of a maximum likelihood approach for the estimation of the model parameters. Meta-alerts are generated with a delay of typically only a few seconds after observing the first alert belonging to a new attack instance....
Until recently, network administrators manually arranged alarms produced by intrusion detection syst...
The tremendous increase in usage and complexity of modern communication and network systems connecte...
Cyber security has become a major challenge when detecting and preventing attacks on any self-organi...
Abstract: In this Paper the Intrusion Detection System, ID3 algorithm, Data Stream algorithm and re...
As security threats advance in a drastic way, most of the organizations apply various intrusion dete...
Abstract- Traditional intrusion detection systems (IDSs) focus on low-level attacks or anomalies, an...
International audienceAbstract: The main use of intrusion detection systems (IDS) is to detect attac...
[[abstract]]As the rapid growth of network attacking tools, patterns of network intrusion events cha...
[[abstract]]As the rapid growth of network attacking tools, patterns of network intrusion events cha...
This paper is an extension of work originally presented in WITS-2017 CONF. We extend our previous wo...
The exchange of security alerts is a current trend in network security and incident response. Alerts...
Intrusion detection systems (IDS) are among the most common countermeasures against network attacks....
Intrusion detection systems are used to monitor information systems, creating large number of alerts...
Until recently, network administrators manually arranged alarms produced by intrusion detection syst...
Intrusion detection systems are used for monitoring the network data, analyze them and find the intr...
Until recently, network administrators manually arranged alarms produced by intrusion detection syst...
The tremendous increase in usage and complexity of modern communication and network systems connecte...
Cyber security has become a major challenge when detecting and preventing attacks on any self-organi...
Abstract: In this Paper the Intrusion Detection System, ID3 algorithm, Data Stream algorithm and re...
As security threats advance in a drastic way, most of the organizations apply various intrusion dete...
Abstract- Traditional intrusion detection systems (IDSs) focus on low-level attacks or anomalies, an...
International audienceAbstract: The main use of intrusion detection systems (IDS) is to detect attac...
[[abstract]]As the rapid growth of network attacking tools, patterns of network intrusion events cha...
[[abstract]]As the rapid growth of network attacking tools, patterns of network intrusion events cha...
This paper is an extension of work originally presented in WITS-2017 CONF. We extend our previous wo...
The exchange of security alerts is a current trend in network security and incident response. Alerts...
Intrusion detection systems (IDS) are among the most common countermeasures against network attacks....
Intrusion detection systems are used to monitor information systems, creating large number of alerts...
Until recently, network administrators manually arranged alarms produced by intrusion detection syst...
Intrusion detection systems are used for monitoring the network data, analyze them and find the intr...
Until recently, network administrators manually arranged alarms produced by intrusion detection syst...
The tremendous increase in usage and complexity of modern communication and network systems connecte...
Cyber security has become a major challenge when detecting and preventing attacks on any self-organi...