본문

서브메뉴

Characterizing and Detecting Password Guessing Attacks.
Contents Info
Characterizing and Detecting Password Guessing Attacks.
자료유형  
 학위논문
Control Number  
0017161410
International Standard Book Number  
9798382842486
Dewey Decimal Classification Number  
004
Main Entry-Personal Name  
Bohuk, Marina Sanusi.
Publication, Distribution, etc. (Imprint  
[S.l.] : Cornell University., 2024
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2024
Physical Description  
187 p.
General Note  
Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
General Note  
Advisor: Ristenpart, Thomas.
Dissertation Note  
Thesis (Ph.D.)--Cornell University, 2024.
Summary, Etc.  
요약Modern authentication systems still mainly rely on passwords for authentication, but little is known about legitimate and malicious user behavior during the authentication process due to the difficulty of collecting information on such a sensitive field. Because passwords are hard to remember and often reused across websites, they are prone to remote guessing attacks in which an attacker iterates through a guess list of credentials, submitting them against a live login system; but existing defenses do not leverage password-based information because of the challenge of collecting such information in a secure way.We address this challenge first by developing a measurement framework called Gossamer for securely recording password-derived measurements, which we used to collect data on 34 million login requests at two universities. Then, we show how we used the data collected by Gossamer to develop a clustering approach called Arana that detects and groups login requests into attack campaigns. Finally, we explore existing timely attack detection mechanisms and evaluate them on Gossamer data along with three new detection methods based on Directed Anomaly Scoring. We also show that these detection methods are vulnerable to evasion attacks by an adaptive attacker.
Subject Added Entry-Topical Term  
Computer science.
Subject Added Entry-Topical Term  
Computer engineering.
Subject Added Entry-Topical Term  
Information technology.
Index Term-Uncontrolled  
Authentication
Index Term-Uncontrolled  
Passwords
Index Term-Uncontrolled  
Privacy
Index Term-Uncontrolled  
Security
Index Term-Uncontrolled  
Arana
Added Entry-Corporate Name  
Cornell University Computer Science
Host Item Entry  
Dissertations Abstracts International. 85-12B.
Electronic Location and Access  
로그인을 한후 보실 수 있는 자료입니다.
Control Number  
joongbu:658306
New Books MORE
최근 3년간 통계입니다.

פרט מידע

  • הזמנה
  • 캠퍼스간 도서대출
  • 서가에 없는 책 신고
  • התיקיה שלי
גשמי
Reg No. Call No. מיקום מצב להשאיל מידע
TQ0034624 T   원문자료 열람가능/출력가능 열람가능/출력가능
마이폴더 부재도서신고

* הזמנות זמינים בספר ההשאלה. כדי להזמין, נא לחץ על כפתור ההזמנה

해당 도서를 다른 이용자가 함께 대출한 도서

Related books

Related Popular Books

도서위치