Computer Intrusion Detection and Network Monitoring: A Statistical Viewpoint
Computer Intrusion Detection and Network Monitoring: A Statistical Viewpoint
Case study: interactive visualization for internet security
Proceedings of the conference on Visualization '02
IEEE Transactions on Visualization and Computer Graphics
How to Own the Internet in Your Spare Time
Proceedings of the 11th USENIX Security Symposium
The Spinning Cube of Potential Doom
Communications of the ACM - Wireless sensor networks
Characteristics of internet background radiation
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
PortVis: a tool for port-based detection of security events
Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security
Scatter (and other) plots for visualizing user profiling data and network traffic
Proceedings of the 2004 ACM workshop on Visualization and data mining for computer security
A Visual Approach for Monitoring Logs
LISA '98 Proceedings of the 12th USENIX conference on System administration
Guest Editor's Introduction: Visualization for Cybersecurity
IEEE Computer Graphics and Applications
Cyber security through visualization
APVis '06 Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation - Volume 60
An intelligent, interactive tool for exploration and visualization of time-oriented security data
Proceedings of the 3rd international workshop on Visualization for computer security
Timing considerations in detecting resource starvation attacks using statistical profiles
International Journal of Electronic Security and Digital Forensics
Robust observation selection for intrusion detection
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Proposing a multi-touch interface for intrusion detection environments
Proceedings of the Seventh International Symposium on Visualization for Cyber Security
Interactive detection of network anomalies via coordinated multiple views
Proceedings of the Seventh International Symposium on Visualization for Cyber Security
Enhancing Intrusion Detection System with proximity information
International Journal of Security and Networks
Idle port scanning and non-interference analysis of network protocol stacks using model checking
USENIX Security'10 Proceedings of the 19th USENIX conference on Security
Neural visualization of network traffic data for intrusion detection
Applied Soft Computing
Testing CAB-IDS through mutations: on the identification of network scans
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
MOVICAB-IDS: visual analysis of network traffic data streams for intrusion detection
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
RT-MOVICAB-IDS: Addressing real-time intrusion detection
Future Generation Computer Systems
Revisiting network scanning detection using sequential hypothesis testing
Security and Communication Networks
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Many times, network intrusion attempts begin with either a network scan, where a connection is attempted to every possible destination in a network, or a port scan, where a connection is attempted to each port on a given destination. Being able to detect such scans can help identify a more dangerous threat to a network. Several techniques exist to automatically detect scans, but these are mostly dependant on some threshold that an attacker could possibly avoid crossing. This paper presents a means to use visualization to detect scans interactively.