A survey on network attacks and defence-in-depth mechanism by intrusion detection system

A survey on network attacks and defence-in-depth mechanism by intrusion detection system

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2006.

Bibliographische Detailangaben
Hauptverfasser:	Khan, Shakil AKhter, Nizam Uddin
Weitere Verfasser:	Pathan,Risat Mahmud
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	BRAC University 2010
Schlagworte:	Computer science and engineering
Online Zugang:	http://hdl.handle.net/10361/209

Ähnliche Einträge

Intrusion detection system for various IoT attacks on MQTT protocol
von: Farhan, et al.
Veröffentlicht: (2022)

Research in Attacks, Intrusions, and Defenses
Veröffentlicht: (2013)

Network security and intrusion detection system
von: Rahman, Rajib, et al.
Veröffentlicht: (2010)

Tao of Network Security Monitoring, The: Beyond Intrusion Detection
von: Bejtlich, Richard

Detection of Intrusions and Malware, and Vulnerability Assessment
Veröffentlicht: (2013)

Detection of Intrusions and Malware, and Vulnerability Assessment
Veröffentlicht: (2013)

The state of the art in intrusion prevention and detection /
Veröffentlicht: (2014)

Proceedings of the 24th International Symposium on Research in Attacks, Intrusions and Defenses

Proceedings of the 25th International Symposium on Research in Attacks, Intrusions and Defenses

Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses

Visualization of security vulnerabilities through intrusion detection system
von: Ahmed, Ibrar, et al.
Veröffentlicht: (2010)

Extrusion Detection: Security Monitoring for Internal Intrusions
von: Richard Bejtlich

Intrusion Detection for IP-Based Multimedia Communications over Wireless Networks
von: Tang
Veröffentlicht: (2013)

Intrusive Beauty
von: Capista

Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007

Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2008

Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2005

Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006

Analysing neural network models for detecting panic attacks with uncertainty analysis
von: Tahmid, Ahnaf, et al.
Veröffentlicht: (2024)

Operating systems in depth /
von: Doeppner, Thomas W.
Veröffentlicht: (2011)

Practical Intrusion Analysis: Prevention and Detection for the Twenty-First Century
von: Trost

Data Mining, Intrusion Detection, Information Security and Assurance, and Data Networks Security 2009

Inflation and Financial Depth /
von: Khan, Mohsin
Veröffentlicht: (2001)

Systematic analysis on peer-to-peer botnet attack detection
von: Binte istiaq, Faiza, et al.
Veröffentlicht: (2024)

A machine learning based approach for DDos attack detection
von: Tahrim, Tasmiah, et al.
Veröffentlicht: (2024)

VAT Attacks! /
von: Keen, Michael
Veröffentlicht: (2007)

Speculative Attacks /
von: Guidotti, Pablo
Veröffentlicht: (1991)

The Decision to Attack
von: Brantly

Attacking poverty.
Veröffentlicht: (2001)

Plan of attack /
von: Woodward, Bob, 1943-
Veröffentlicht: (2004)

Performance analysis of deep learning algorithms for Intrusion Detection System(IDS) of IoT Security
von: Fiha, Yeamin Jahan, et al.
Veröffentlicht: (2022)

Unwarranted intrusions : the case against government intervention in the marketplace /
von: Fridson, Martin S.
Veröffentlicht: (2006)

Optically Based Biological and Chemical Detection for Defence V

Optically Based Biological and Chemical Detection for Defence IV

Optically Based Biological and Chemical Detection for Defence III

Detecting man in the middle attack implementing timebased verification method
von: Topu, Syed Naziur Rahman, et al.
Veröffentlicht: (2024)

A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification
von: Kabir, Solaiman, et al.
Veröffentlicht: (2021)

Non-Intrusive Inspection Technologies

Intrusion of Malware (DDoS) detection in IoT devices using Machine Learning on Cyberspace
von: Al Amin, Istiak, et al.
Veröffentlicht: (2022)

End-to-End Network Security: Defense-in-Depth
von: Santos