Browser-Based DDoS Attacks without Javascript
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 12
Abstract
Recently, browser-based distributed denial of service (DDoS) attacks, in which a malicious JavaScript program is distributed through an advertisement network, and runs in the background of the web browser, were observed. In this paper, we address a question whether browser-based DDoS attacks can be realized without JavaScript. We construct new browser-based DDoS attacks based only on HTML functions, and compare them with the existing JavaScript-based DDoS attacks in efficiency.
Authors and Affiliations
Ryo Kamikubo, Taiichi Saito
Keywords
Related Articles
- EP ID EP258410
- DOI 10.14569/IJACSA.2017.081235
- Views 85
- Downloads 0
Proposal and Implementation of MPLS Fuzzy Traffic Monitor
Multiprotocol Label Switched Networks need highly intelligent controls to manage high volume traffic due to issues of traffic congestion and best path selection. The work demonstrated in this paper shows results from sim...
Flood Analysis in Peru using Satellite Image: The Summer 2017 Case
At the beginning of the year 2017, different regions of Peru suffered from heavy rains mainly due to the 'El Niño' and 'La Niña' phenomena. As a result of these massive storms, several cities were affected by overflows a...
Magneto-Hydrodynamic Antenna Design and Development Analysis with prototype
A new class of antenna based on magnetohydrodynamic technique is presented. Magneto-hydrodynamic Antenna, using electrically conducting fluid, such as NaCl solution under controlled electromagnetic fields is formulated...
A Novel E-Mail Network Evolution Model based on user Information
E-mail is one of the main means of communication in society today, and it is a typical social network. Studying the evolution of the social network structure by constructing an e-mail network evolution model is of great...
Comprehensive Centralized-Data Warehouse for Managing Malaria Cases
Tanah Bumbu is one of the most endemic areas in Indonesia for patients diagnosed with malaria diseases. Currently, available malaria case data were stored in disparate sources. Hence, it is difficult for the public healt...