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.

Xehetasun bibliografikoak
Egile Nagusiak:	Khan, Shakil AKhter, Nizam Uddin
Beste egile batzuk:	Pathan,Risat Mahmud
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	BRAC University 2010
Gaiak:	Computer science and engineering
Sarrera elektronikoa:	http://hdl.handle.net/10361/209

Antzeko izenburuak

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

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

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

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

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

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

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

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

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

Intrusive Beauty
nork: 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
nork: Tahmid, Ahnaf, et al.
Argitaratua: (2024)

Operating systems in depth /
nork: Doeppner, Thomas W.
Argitaratua: (2011)

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

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

Inflation and Financial Depth /
nork: Khan, Mohsin
Argitaratua: (2001)

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

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

VAT Attacks! /
nork: Keen, Michael
Argitaratua: (2007)

Speculative Attacks /
nork: Guidotti, Pablo
Argitaratua: (1991)

The Decision to Attack
nork: Brantly

Attacking poverty.
Argitaratua: (2001)

Plan of attack /
nork: Woodward, Bob, 1943-
Argitaratua: (2004)

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

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

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

Non-Intrusive Inspection Technologies

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

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