honeyCAPTCHA: AN ENHANCED INTRUSION DETECTION FRAMEWORK
honeyCAPTCHA: AN ENHANCED INTRUSION DETECTION FRAMEWORK
No Thumbnail Available
Date
2021-03
Authors
ABDULLAHI, Mukhtar Ahmad
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Internet is no doubt inevitable; it has a tremendous impact in our lives. Despite its importance, internet comes with many challenges, among which is security. From the literature, several attempts have been made to develop a secure and user-friendly spam detection technique. But these attempts linger between these two fundamental issues: the robustness and the usability. The passiveness of some Intrusion Detection Systems for example, the CAPTCHA, which failed to detect some forms of attacks with low usability, is of major concern to researchers in recent years. In this work, an enhanced intrusion detection framework named honeyCAPTCHA capable of detecting web page crawlers, resilient and efficient to users is designed to solve the inefficient and weak security settings from the traditional IDS. The system is mainly considered as an option to the CAPTCHA-BASED IDS model which inherited the passiveness and inefficient problems that lingered between all the traditional IDPS. Eliminating CAPTCHA entirely on the system gateway, providing a cognitive CAPTCHA test, setting response time to the dummy page and a fallback opportunity are the mean ingredients that makes the proposal system successful. The proposed system outperforms the existing system considering its performance measure with a detection rate (DR) of 76%, which is 1.7 times the detection rate of the existing system and a false positive rate (FPR) of 10% as against that of the existing system with 36% FPR. This shows that our system is more robust compare to the existing system. The usability of proposed system measured using BDR and BNR is 1.5 times that of the existing system, this shows how efficient proposed system is to users when compared to the existing system. Both systems were also compared based on the standard IDS evaluation metrics CID, of which our system is 2.26 times the existing system. Indeed, honeyCAPTCHA can be guaranteed to be a more secure and user friendly IDP system over the use of directs CAPTCHA
Description
A DISSERTATIONSUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE,
AHMADU BELLO UNIVERSITY, ZARIA
NIGERIA
A THESIS SUBMITTED TO THE SCHOOL OF POSTGRADUATE STUDIES,
AHMADU BELLO UNIVERSITY, ZARIA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF
MASTER OF SCIENCE (M.Sc.) DEGREE IN COMPUTER SCIENCE
DEPARTMENT OF COMPUTER SCIENCE
FACULTY OF PHYSICAL SCIENCE
AHMADU BELLO UNIVERSITY, ZARIA NIGERIA.
Keywords
honeyCAPTCHA,, ENHANCED INTRUSION DETECTION FRAMEWORK.