Detailed Information

Cited 6 time in webofscience Cited 19 time in scopus
Metadata Downloads

DS-ARP: A New Detection Scheme for ARP Spoofing Attacks Based on Routing Trace for Ubiquitous Environmentsopen access

Authors
Song, Min SuLee, Jae DongJeong, Young-SikJeong, Hwa-YoungPark, Jong Hyuk
Issue Date
2014
Publisher
HINDAWI LTD
Citation
SCIENTIFIC WORLD JOURNAL, v.2014
Indexed
SCIE
SCOPUS
Journal Title
SCIENTIFIC WORLD JOURNAL
Volume
2014
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/18848
DOI
10.1155/2014/264654
ISSN
1537-744X
Abstract
Despite the convenience, ubiquitous computing suffers from many threats and security risks. Security considerations in the ubiquitous network are required to create enriched and more secure ubiquitous environments. The address resolution protocol (ARP) is a protocol used to identify the IP address and the physical address of the associated network card. ARP is designed to work without problems in general environments. However, since it does not include security measures against malicious attacks, in its design, an attacker can impersonate another host using ARP spoofing or access important information. In this paper, we propose a new detection scheme for ARP spoofing attacks using a routing trace, which can be used to protect the internal network. Tracing routing can find the change of network movement path. The proposed scheme provides high constancy and compatibility because it does not alter the ARP protocol. In addition, it is simple and stable, as it does not use a complex algorithm or impose extra load on the computer system.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jeong, Young Sik photo

Jeong, Young Sik
College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)
Read more

Altmetrics

Total Views & Downloads

BROWSE