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.

Bibliografiske detaljer
Main Authors:	Khan, Shakil AKhter, Nizam Uddin
Andre forfattere:	Pathan,Risat Mahmud
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2010
Fag:	Computer science and engineering
Online adgang:	http://hdl.handle.net/10361/209

Lignende værker

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

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

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

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

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

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

The state of the art in intrusion prevention and detection /
Udgivet: (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
af: Ahmed, Ibrar, et al.
Udgivet: (2010)

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

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

Intrusive Beauty
af: 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
af: Tahmid, Ahnaf, et al.
Udgivet: (2024)

Operating systems in depth /
af: Doeppner, Thomas W.
Udgivet: (2011)

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

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

Inflation and Financial Depth /
af: Khan, Mohsin
Udgivet: (2001)

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

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

VAT Attacks! /
af: Keen, Michael
Udgivet: (2007)

Speculative Attacks /
af: Guidotti, Pablo
Udgivet: (1991)

The Decision to Attack
af: Brantly

Attacking poverty.
Udgivet: (2001)

Plan of attack /
af: Woodward, Bob, 1943-
Udgivet: (2004)

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

Unwarranted intrusions : the case against government intervention in the marketplace /
af: Fridson, Martin S.
Udgivet: (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
af: Topu, Syed Naziur Rahman, et al.
Udgivet: (2024)

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

Non-Intrusive Inspection Technologies

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

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