ADAM: a testbed for exploring the use of data mining in intrusion detection

By Daniel Barbará, Julia Couto, Sushil Jajodia, Ningning Wu. SGMD, 2001

319 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/ca101a11a0f78992261726718243c840f9450ce0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Monowar Hussain Bhuyan
2. Jugal Kumar Kalita
3. Dhruba Kumar Bhattacharyya
4. Rohan Doshi
5. Noah J. Apthorpe
6. N. Feamster
7. Rayadurgam Srikant
8. Arindam Banerjee

In Information Systems

1. Rayadurgam Srikant
2. Monowar Hussain Bhuyan
3. Arindam Banerjee
4. Rakesh Agrawal
5. Ajith Abraham
6. Crina Grosan
7. N. Feamster
8. Manas Ranjan Patra

In Signal Processing

1. Rayadurgam Srikant
2. Monowar Hussain Bhuyan
3. Arindam Banerjee
4. Rakesh Agrawal
5. Ajith Abraham
6. N. Feamster
7. Manas Ranjan Patra
8. Vipin Kumar

Citations in the corpus

• Machine Learning DDoS Detection for Consumer Internet of Things Devices (2018, background): “In particular, the literature suggests nearest neighbor classifiers [8], support vector machines [9], and rule-based schemes like decision trees and random forests [10], [11] as promising approaches.”
• Modeling intrusion detection system using hybrid intelligent systems (2007, methodology): “Audit data analysis and mining (ADAM) (Barbara et al., 2001) also uses data mining methods.”
• Anomaly detection: A survey (2009, methodology): “4 ADAM [Barbara et al. 2001a; Barbara et al. 2003; Barbara et al. 2001b], Fan et al.”
• Hippocratic Databases (2002, background): “This problem is related to that of intrusion detection [3] [34].”
• NETWORK INTRUSION DETECTION USING NAÏVE BAYES (2007, methodology): “ADAM (Audit Data Analysis and Mining) [4] is an intrusion detector built to detect intrusions using data mining techniques.”
• Network Anomaly Detection: Methods, Systems and Tools (2014, background): “Analysis and Mining (ADAM) [32] that provides a testbed for detecting anomalous instances.”