Results 271 to 280 of about 27,263 (310)

Deploying agents in the network to detect intrusions

2015 IEEE/ACIS 14th International Conference on Computer and Information Science (ICIS), 2015
Intrusion Detection in a network is defined as identifying activities which violate security policies. Traditional Intrusion Detection Systems (IDSs) are centralized in nature where a central node collects data from every node and detects whether any abnormal activity is taking place in the network.
Shankar M. Banik, Luís Peña
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Robust Intrusion Detection in Dynamic Networks

2019 IEEE Conference on Control Technology and Applications (CCTA), 2019
This paper considers the problem of robustly identifying m intruders in a network consisting of n cooperative agents which are subject to unknown disturbances. First, a distributed system model is introduced so that the relationship between agents, the attacks and unknown disturbances can be captured.
Sam Nazari, Bahram Shafai, Anahita Moradmand   +2 more
openaire   +1 more source

Visualizing network traffic for intrusion detection

Proceedings of the 6th conference on Designing Interactive systems, 2006
Intrusion detection, the process of using network data to identify potential attacks, has become an essential component of information security. Human analysts doing intrusion detection work utilize vast amounts of data from disparate sources to make decisions about potential attacks. Yet, there is limited understanding of this critical human component.
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On network intrusion detection for deployment in the wild

2012 IEEE Network Operations and Management Symposium, 2012
As the number of network-based attacks continue to increase, network operations and management tasks become more and more complex. As we have come to depend on reliable operations of networked systems, it is important to be able to provide security measures that both efficient in terms of processing speed as well as in detecting attacks that are not in
Sun-il Kim, Nnamdi Nwanze, William Edmonds, Blake Johnson, Paloma Field   +4 more
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Active learning for network intrusion detection

Proceedings of the 2nd ACM workshop on Security and artificial intelligence, 2009
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere enclosing network data, mapped to a vector space, such that points outside of the ball are considered anomalous.
Görnitz, Nico, Kloft, Marius, Rieck, Konrad, Brefeld, Ulf   +3 more
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Honeypot Utilization for Network Intrusion Detection

2018
For research purposes, a honeypot is a system that enables observing attacker’s actions in different phases of a cyberattack. In this study, a honeypot called Kippo was used to identify attack behavior in Finland. The gathered data consisted of dictionary attack login attempts, attacker location, and actions after successful login.
Simo Kemppainen, Tiina Kovanen
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Adaptive Clustering for Network Intrusion Detection

2004
A major challenge in network intrusion detection is how to perform anomaly detection. In practice, the characteristics of network traffic are typically non-stationary, and can vary over time. In this paper, we present a solution to this problem by developing a time-varying modification of a standard clustering technique, which means we can ...
Joshua Oldmeadow, Siddarth Ravinutala, Christopher Leckie   +2 more
openaire   +1 more source

Machine learning for Network Intrusion Detection

2020
Rapidly advancing cyber technologies have been assisting threat actors in offensive cyber operations since the creation of computers, computer networks and computerized control systems. Exponentially evolving infiltration techniques and publicly available hacking tools facilitate implementation of attacks and increase their variability.
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The sound of intrusion: A novel network intrusion detection system

Computers and Electrical Engineering, 2022
Mohammed Aldarwbi, Arash Habibi Lashkari, Ali A. Ghorbani 0001   +2 more
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Autoencoder ensembles for network intrusion detection

2022 24th International Conference on Advanced Communication Technology (ICACT), 2022
Chun Long, Jianping Xiao, Jinxia Wei, Jing Zhao, Wei Wan, Guanyao Du   +5 more
openaire   +1 more source