Detection of Intrusions and Malware, and Vulnerability Assessment

Detection of Intrusions and Malware, and Vulnerability Assessment

Bibliografiske detaljer
Andre forfattere:	Flegel
Format:	Electronisk eBog
Sprog:	English
Udgivet:	Springer Berlin Heidelberg, 2013
Udgivelse:	1
Fag:	Electronic books
Online adgang:	Full text available on Springer Off-campus access

Lignende værker

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

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

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

Malware detection in blockchain using CNN
af: Alam, Afreen, et al.
Udgivet: (2021)

Malware Detection Using Neural Network
af: Kayum, Syed Irfan, et al.
Udgivet: (2021)

Data mining tools for malware detection /
af: Masud, Mehedy
Udgivet: (2012)

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

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

Android Malware
af: Jiang
Udgivet: (2013)

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

Intrusive Beauty
af: Capista

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

Automatic Malware Analysis
af: Yin
Udgivet: (2013)

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

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

Performance analysis of machine learning classi ers for detecting PE malware
af: Azmee, ABM.Adnan, et al.
Udgivet: (2020)

Assessing Financial System Vulnerabilities /
af: Johnston, R.
Udgivet: (2000)

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

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

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

Non-Intrusive Inspection Technologies

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

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

Assessing China's Corporate Sector Vulnerabilities /
af: Chivakul, Mali
Udgivet: (2015)

A Framework for Assessing Fiscal Vulnerability /
af: Petrie, Murray
Udgivet: (2000)

PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
af: Rahman, Tahsinur, et al.
Udgivet: (2023)

Assessing Corporate Vulnerabilities in Indonesia : A Bottom-Up Default Analysis /
af: Chan-Lau, Jorge
Udgivet: (2017)

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

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

Advanced Host Intrusion Prevention with CSA
af: Sullivan

Intrusion Prevention Fundamentals (Cisco Press)
af: Carter

Non-Intrusive Inspection Technologies II

2013 Workshop on Anti-malware Testing Research

Malicious and Unwanted Software (MALWARE), International Conference on

ShielDroid: a hybrid ML and DL approach for real-time malware detection system in Android
af: Ahmed, Md Faisal, et al.
Udgivet: (2021)

Vulnerable of the vulnerables : the situation of divorced, abandoned and widowed women in a rural area of Bangladesh /
af: Momen, Mehnaaz
Udgivet: (1995)

Vulnerable of the vulnerables : the situation of divorced, abandoned and widowed women in a rural area of Bangladesh /
af: Momen, Mehnaaz