Network security and intrusion detection system

Network security and 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, 2007.

Bibliografiske detaljer
Main Authors:	Rahman, Rajib, Zaman, Salman, Alam, Sarwar
Andre forfattere:	Rouf, Mushfiqur
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2010
Fag:	Computer science and engineering
Online adgang:	http://hdl.handle.net/10361/171

Lignende værker

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

A survey on network attacks and defence-in-depth mechanism by intrusion detection system
af: Khan, Shakil AKhter, et al.
Udgivet: (2010)

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

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

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

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

Detecting known host security flaws over a network connection
af: Ahsan, Syeda Tasnuva, et al.
Udgivet: (2011)

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

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

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

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

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

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

An Iris detection and recognition system to measure the performance of e-security
af: Anwar, A.M. Shahed
Udgivet: (2016)

Intrusive Beauty
af: Capista

Automated incident detection in surveillance systems
af: Motiwala, Murtaza, et al.
Udgivet: (2010)

Face detection
af: Abdal, Sahar Noor, et al.
Udgivet: (2010)

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

Abandoned object detection with video surveillance
af: Aurangzeb, Chowdhury Farsad, et al.
Udgivet: (2015)

Wireless LAN 802.11 security
af: Hasan-Al-Banna, et al.
Udgivet: (2010)

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

Diabetic retinopathy detection using image-processing
af: Zaman, Asif Uz, et al.
Udgivet: (2016)

Implementation of smart marine security system
af: Hamid Bin Zaman, et al.
Udgivet: (2015)

Operating system's security : LINUX
af: Al Mamun, Mehedi
Udgivet: (2010)

An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system
af: Anik, Md. Kamrul Islam
Udgivet: (2016)

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

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)

Plagiarism detection using semantic analysis
af: Shams, Khalid
Udgivet: (2011)

Cryptography and Network Security
af: ITL ESL

Study of SMS security as part of an electronic voting system
af: Mushfiqur Rahman, Chowdhury, et al.
Udgivet: (2010)

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
af: Rahman, Masroor, et al.
Udgivet: (2023)

Abnormal behavior detection of human by video surveillance system
af: Amin, Anisul, et al.
Udgivet: (2015)

Pedestrian dynamics to detect automatic crowd formation
af: Sarkar, Shovan, et al.
Udgivet: (2014)

Parallel optical flow detection using CUDA
af: Hossen, Khalid, et al.
Udgivet: (2014)

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)

Corporate Computer and Network Security
af: Panko, Raymond R.