Information Resources Management Association

Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Search IRMA Research

navleft

navright

Research IRM Open Access IRMA Journals IRM Books Proceedings Membership

The IRMA Community

Calls for Papers

Online Symposium

Research IRM

Click a keyword to search titles using our InfoSci-OnDemand powered search:

Intrusion Detection and Response

Intrusion Detection and Response

View Sample PDF

Author(s): David A. Dampier (Mississippi State University, USA)and Ambareen Siraj (Mississippi State University, USA)
Copyright: 2008
Pages: 11
Source title: Information Security and Ethics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Hamid Nemati (The University of North Carolina at Greensboro, USA)
DOI: 10.4018/978-1-59904-937-3.ch123

Keywords: Information Science Reference / Information Security & Privacy / IT Security and Ethics / Security & Forensics

Purchase

View Intrusion Detection and Response on the publisher's website for pricing and purchasing information.

Abstract

This chapter discusses the notion of intrusion detection and introduces concepts associated with intrusion detection and methods used to respond to intrusions. It presents information about different forms of intrusions and how they are recognized. It introduces methods for detecting intrusions and then discusses possible responses to those intrusions. It is hoped that this information will make the readers more aware of the possibility of intrusions and how they might develop a process for detecting and responding to these intrusions.

Related Content

Optimizing eCommerce Data: Effective Approaches for Data Collection, Cleansing, and Preprocessing

Chirag Sharma, Amanpreet Kaur, Priyanka Datta, Yonis Gulzar. © 2025. 30 pages.

Artificial Intelligence and Machine Learning in eCommerce

M. Johnpaul, Raam Sai Bharadwaj Miryala, Marica Mazurek, G. Jayaprakashnarayana, Ramesh Kumar Miryala. © 2025. 28 pages.

AI and Machine Learning Applications for Preserving Privacy and Data Leakage of E-Commerce Data

Jatin Arora, Gaganpreet Kaur, Monika Sethi, Saravjeet Singh. © 2025. 20 pages.

Advancing E-Commerce Security: Strategic Innovations and Future Directions in AI and ML

L. A. Anto Gracious, L. Sudha, B. Chitra, Gaganpreet Kaur, V. Sathya, P. Kabitha, R. Siva Subramanian. © 2025. 28 pages.

Convolutions of Artificial Intelligence-Enabled Business Strategies and E-Commerce and Their Impacts on the Future

Bhavik Singla, Anuj Kumar Jain, Gaganpreet Kaur, Nitin Jain, Vishal Jain. © 2025. 28 pages.

Strategic Integration of Machine Learning for Fraud Detection in E-Commerce Transactions

P. Vijayalakshmi, K. Subashini, B. Selvalakshmi, G. Sudhakar, Anand Anbalagan, N. Bharathiraja, Gaganpreet Kaur. © 2025. 22 pages.

Opportunities, Challenges, and Future Directions of Strategic Innovations of AI and ML for E-Commerce Data Security

Djamel Saba, Abdelkader Hadidi. © 2025. 28 pages.

IRMA Offers Over 2,500 Full Text Open Access Research Papers for Free Download Click to Start Searching Free IRM Research!

IRMA Sponsors

Sponsor IGI Global

Sponsor eContentPro

Encyclopedia of Information Science and Technology, Fourth Edition

Body Bottom