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1. Full Text A Survey of Intrusion Detection Systems Leveraging Host Data
by Bridges, Robert and Glass-Vanderlan, Tarrah and Iannacone, Michael and Vincent, Maria and Chen, Qian
ACM Computing Surveys (CSUR), ISSN 0360-0300, 11/2019, Volume 52, Issue 6, pp. 1 - 35
This survey focuses on intrusion detection systems (IDS) that leverage host-based data sources for detecting attacks on enterprise network. The host-based IDS... 
host | Intrusion detection | anomaly detection
Journal Article
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2. Full Text Aggregation and correlation of intrusion-detection alerts
by Debar, Hervé and Wespi, Andreas
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2015, Volume 2212, pp. 85 - 103
Alert aggregation | Intrusion detection | Alert correlation | Alert data model
Conference Proceeding
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3. Full Text Big data classification: Problems and challenges in network intrusion prediction with machine learning
by Suthaharan, Shan
Performance Evaluation Review, ISSN 0163-5999, 2014, Volume 41, Issue 4, pp. 70 - 73
Hadoop distributed file systems | Big data | Intrusion detection | Machine learning
Conference Proceeding
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4. Full Text MADAM: A multi-level anomaly detector for android malware
by Dini, Gianluca and Martinelli, Fabio and Saracino, Andrea and Sgandurra, Daniele
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2012, Volume 7531, pp. 240 - 253
Intrusion detection | Classification | Security | Android
Conference Proceeding
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5. Comparison of two multi-classification approaches for detecting network attacks
by Kumaravel, A
World Applied Sciences Journal, ISSN 1818-4952, 2013, Volume 27, Issue 11, pp. 1461 - 1465
Feature selection | Intrusion detection system | Network security | Multi-classification | DataMining
Journal Article
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6. Full Text Toward developing a systematic approach to generate benchmark datasets for intrusion detection
by Shiravi, Hadi and Shiravi, Ali and Tavallaee, Mahbod and Ghorbani, Ali A
Computers & Security, ISSN 0167-4048, 05/2012, Volume 31, Issue 3, pp. 357 - 374
In network intrusion detection, anomaly-based approaches in particular suffer from accurate evaluation, comparison, and deployment which originates from the... 
Intrusion detection | Network traffic profile | Dataset generation | COMPUTER SCIENCE, INFORMATION SYSTEMS | Computer network protocols | Analysis
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7. Full Text Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues
by Aldweesh, Arwa and Derhab, Abdelouahid and Emam, Ahmed Z
Knowledge-Based Systems, ISSN 0950-7051, 10/2019, p. 105124
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8. Full Text Anomaly-based network intrusion detection: Techniques, systems and challenges
by García-Teodoro, P and Díaz-Verdejo, J and Maciá-Fernández, G and Vázquez, E
Computers & Security, ISSN 0167-4048, 2009, Volume 28, Issue 1, pp. 18 - 28
The Internet and computer networks are exposed to an increasing number of security threats. With new types of attacks appearing continually, developing... 
Network security | Intrusion detection | Anomaly detection | IDS systems and platforms | Assessment | Threat | COMPUTER SCIENCE, INFORMATION SYSTEMS
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9. A honeypot proxy framework for deceiving attackers with fabricated content
by Papalitsas, Jarko and Rauti, Sampsa and Tammi, Jani and Leppänen, Ville
Advances in Information Security, ISSN 1568-2633, 2018, Volume 70, pp. 239 - 258
Deception | Intrusion detection | Honeypots
Journal Article
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10. Full Text IoT security: Review, blockchain solutions, and open challenges
by Khan, Minhaj Ahmad and Salah, Khaled
Future Generation Computer Systems, ISSN 0167-739X, 05/2018, Volume 82, pp. 395 - 411
With the advent of smart homes, smart cities, and smart everything, the Internet of Things (IoT) has emerged as an area of incredible impact, potential, and... 
Network security | IoT security | IoT protocols | Data security | Blockchain | SECRECY | ATTACKS | INTERNET | PRIVACY | INTRUSION DETECTION SYSTEMS | AUTHENTICATION | THINGS | ROUTING PROTOCOL | COMPUTER SCIENCE, THEORY & METHODS | TRUST
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11. Intrusion detection and prevention for mobile ecosystems
by Kambourakis, George, editor
2018, 1, CRC series in security, privacy and trust, ISBN 1315305836, xiv, 544 pages
This book presents state-of-the-art contributions from both scientists and practitioners working in intrusion detection and prevention for mobile networks,... 
Security measures | Mobile communication systems | Intrusion detection systems (Computer security) | Internet & Multimedia | Telecommunications | IT Security
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12. Location based intrusion detection in LANs
by Dhandapani, Saveetha and Jovith, A. Arokiaraj
International Journal of Pure and Applied Mathematics, ISSN 1311-8080, 2017, Volume 116, Issue 23, pp. 399 - 403
Forensics | Intrusion detection | LAN
Journal Article
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13. Full Text A survey of intrusion detection techniques for cyber-physical systems
by Mitchell, Robert and Chen, Ing-Ray
ACM Computing Surveys (CSUR), ISSN 0360-0300, 04/2014, Volume 46, Issue 4, pp. 1 - 29
Pervasive healthcare systems, smart grids, and unmanned aircraft systems are examples of Cyber-Physical Systems (CPSs) that have become highly integrated in... 
Cyber-physical systems | security | intrusion detection | classification | Security | Intrusion detection | Classification | PERFORMANCE ANALYSIS | MANAGEMENT | COMPUTER SCIENCE, THEORY & METHODS | ALGORITHMS | Surveys | Drone aircraft | Security software | Vehicles, Remotely piloted | Methods | Detectors
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14. Full Text Crowdroid
: behavior-based malware detection system for Android
by Burguera, Iker and Zurutuza, Urko and Nadjm-Tehrani, Simin
Proceedings of the 1st ACM workshop on security and privacy in smartphones and mobile devices, ISSN 1543-7221, 10/2011, pp. 15 - 26
The sharp increase in the number of smartphones on the market, with the Android platform posed to becoming a market leader makes the need for malware analysis... 
crowdsourcing | data mining | smartphone security | malware detection | anomaly detection | dynamic analysis | intrusion detection
Conference Proceeding
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15. Full Text Data-driven Model-based Detection of Malicious Insiders via Physical Access Logs
by Cheh, Carmen and Thakore, Uttam and Fawaz, Ahmed and Chen, Binbin and Temple, William and Sanders, William
ACM Transactions on Modeling and Computer Simulation (TOMACS), ISSN 1049-3301, 11/2019, Volume 29, Issue 4, pp. 1 - 25
The risk posed by insider threats has usually been approached by analyzing the behavior of users solely in the cyber domain. In this article, we show the... 
physical movement | intrusion detection | Railway transportation system
Journal Article
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16. Full Text Dynamic optical frequency domain reflectometry
by Arbel, Dror and Eyal, Avishay
Optics Express, ISSN 1094-4087, 04/2014, Volume 22, Issue 8, pp. 8823 - 8830
We describe a dynamic Optical Frequency Domain Reflectometry (OFDR) system which enables real time, long range, acoustic sensing at high sampling rate. The... 
INTRUSION DETECTION | SYSTEM | OFDR | OPTICS | PHASE-OTDR | SPATIAL-RESOLUTION
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17. Full Text Topology Verification Enabled Intrusion Detection for In-Vehicle CAN-FD Networks
by Yu, Tianqi and Wang, Xianbin
IEEE Communications Letters, ISSN 1089-7798, 11/2019, pp. 1 - 1
Controller area network with flexible data rate (CAN-FD) is a widely used communication protocol for in-vehicle sensing and control. However, due to the lack... 
in-vehicle networks | CAN-FD protocol | Intrusion detection | topology verification
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18. Full Text Security for the Internet of Things: A Survey of Existing Protocols and Open Research Issues
by Granjal, Jorge and Monteiro, Edmundo and Sa Silva, Jorge
IEEE Communications Surveys & Tutorials, ISSN 1553-877X, 2015, Volume 17, Issue 3, pp. 1294 - 1312
The Internet of Things (IoT) introduces a vision of a future Internet where users, computing systems, and everyday objects possessing sensing and actuating... 
End-to-end security | Protocols | Internet of Things | Security | RPL | IEEE 802.15 Standards | DTLS | IEEE 802.15.4 | 6LoWPAN | Internet | Sensors | CoAP | Cryptography | Internet of things | security | WIRELESS | end-to-end security | COMPUTER SCIENCE, INFORMATION SYSTEMS | TELECOMMUNICATIONS | INTRUSION DETECTION SYSTEMS | Economics | Platforms | Strategy | Detection | Protocol (computers) | Computer information security
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19. Full Text The rise of “malware”: Bibliometric analysis of malware study
by Razak, Mohd Faizal Ab and Anuar, Nor Badrul and Salleh, Rosli and Firdaus, Ahmad
Journal of Network and Computer Applications, ISSN 1084-8045, 11/2016, Volume 75, pp. 58 - 76
Malicious software (malware) is a computer program designed to create harmful and undesirable effects. It considered as one of the many dangerous threats for... 
Malware | Mobile malware | Bibliometric analysis | Malware analysis | Intrusion detection system
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20. Full Text Decentralized intrusion detection in wireless sensor networks
by da Silva, Ana and Martins, Marcelo and Rocha, Bruno and Loureiro, Antonio and Ruiz, Linnyer and Wong, Hao
Proceedings of the 1st ACM international workshop on quality of service & security in wireless and mobile networks, 10/2005, pp. 16 - 23
Wireless sensor networks (WSNs) have many potential applications. Furthermore, in many scenarios WSNs are of interest to adversaries and they become... 
security | intrusion detection | wireless sensor networks | Security | Wireless Sensor Networks | Intrusion detection
Conference Proceeding
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