Techniques to Detect Clickjacking Vulnerability in Web Pages

被引:1
|
作者
Jyotiyana, Priya [1 ]
Maheshwari, Saurabh [1 ]
机构
[1] Govt Women Engn Coll, Dept Comp Sci & Engn, Ajmer, India
关键词
Clickjacking attacks; Likjacking attacks; Clickjacking defenses; Cursorjacking attacks;
D O I
10.1007/978-981-10-7395-3_68
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Clickjacking attack attracts clients towards clicking on items unsuspectingly to set in motion unpleasant web pages that may be punctual to perform undesirable operations on genuine web pages without any notifying the clients. Specifically, victims can be misled through clicking on items from different websites, for example, online social networking sites (Facebook, Twitter), shopping websites (Amazon), etc. This paper discusses in particular the efficient defence techniques, which comprise a tedious process of preventing clickjacking attacks. The study of different types of malicious activities, vulnerabilities and their weaknesses in web program framework is a challenging task. We study different approaches and defence techniques with the purpose of providing a valuable reference to clickjacking attacks in order to enable a safe and secure web environment. In addition, this paper provides a review of injecting different types of clickjacking attacks in a webpage constrained environment. To fight against clickjacking attacks, it is important to see how these attacks happen in the present reality along with the comparative study of the state of the art solutions.
引用
收藏
页码:615 / 624
页数:10
相关论文
共 50 条
  • [1] Implementation of Extension for Browser to Detect Vulnerable Elements on Web Pages and Avoid Clickjacking
    Pawade, Dipti
    Lahigude, Abhilasha
    Reja, Divya
    Johri, Era
    2016 6th International Conference - Cloud System and Big Data Engineering (Confluence), 2016, : 226 - 230
  • [2] A Review on Web Pages Clustering Techniques
    Patel, Dipak
    Zaveri, Mukesh
    TRENDS IN NETWORKS AND COMMUNICATIONS, 2011, 197 : 700 - 710
  • [3] Web pages: Designing with rhetorical techniques
    Dormann, C
    DESIGN OF COMPUTING SYSTEMS: SOCIAL AND ERGONOMIC CONSIDERATIONS, 1997, 21 : 799 - 802
  • [4] HDTCV: Hybrid Detection Technique for Clickjacking Vulnerability
    Kavitha, D.
    Chandrasekaran, S.
    Rani, S. K.
    ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY COMPUTATIONS IN ENGINEERING SYSTEMS, ICAIECES 2015, 2016, 394 : 607 - 620
  • [5] UAC: A Lightweight and Scalable Approach to Detect Malicious Web Pages
    Kaur, Harneet
    Madan, Sanjay
    Sehgal, Rakesh Kumar
    MODERN TRENDS AND TECHNIQUES IN COMPUTER SCIENCE (CSOC 2014), 2014, 285 : 241 - 261
  • [6] A novel approach to detect, analyze and block adversarial web pages
    Kumar M.R.
    Naik D.A.
    Kapila N.
    Mohan C.R.
    Prasad C.R.
    Shelke C.
    Rao C.V.G.
    International Journal of Information Technology, 2024, 16 (6) : 3617 - 3622
  • [7] Detect Malicious Web Pages Using Naive Bayesian Algorithm to Detect Cyber Threats
    Jerjes, Ann Zeki Ablahd Magdacy
    Dawod, Adnan Yousif
    Abdulqader, Mohammed Fakhrulddin
    WIRELESS PERSONAL COMMUNICATIONS, 2023,
  • [8] Classification of Clickjacking Attacks and Detection Techniques
    Shahriar, Hossain
    Devendran, Vamshee Krishna
    INFORMATION SECURITY JOURNAL, 2014, 23 (4-6): : 137 - 147
  • [9] Categorizing The Turkish Web Pages By Data Mining Techniques
    Husem, Secil Sekerci
    Gulcu, Ayla
    2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), 2017, : 255 - 260
  • [10] Two-Stage Classification Model to Detect Malicious Web Pages
    Van Lam Le
    Welch, Ian
    Gao, Xiaoying
    Komisarczuk, Peter
    25TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA 2011), 2011, : 113 - 120