An Effective Performance For Denial Of Service Attack (DoS) Detection

被引：0

作者：

Hemalatha, P. ^{[1
]}

Vijithaananthi, J. ^{[1
]}

机构：

[1] Mt Zion Coll Engn & Technol, Dept Elect & Commun Engn, Pudukkottai, Tamil Nadu, India

来源：

2017 INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC) | 2017年

关键词：

Denial of service; Reversetracing; Artificial Bee Colony Algorithm; DDOS DETECTION;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Wireless Environments are the most successful communication and data service providing medium now-a-days. Security and Trustworthiness are the two major strategiesusers' needs to be concern with. Denial of Service attack is the major threatthat occurs while communicating data from one end to other end. The main aim of the Denial of service attack is the disruption of services by attempting to limit access to a machine or any service. For eliminating this new approach called Artificial Bee Reverse Tracing (ABRT) is introduced. Along with this, a data security scheme is proposed to secure the data and maintain its integrity over wireless medium by using Reverse Tracing Technique (RTT).

引用

页码：229 / 233

页数：5

共 50 条

[1] An Intelligence Technique for Denial of Service (DoS) Attack Detection
Manan, Wan Nurulsafawati Wan
Safiuddin, Tuan Muhammad
Dzolkhifli, Zarina
Hassin, Mohd Hafiz Mohd
[J]. ADVANCED SCIENCE LETTERS, 2018, 24 (10) : 7446 - 7450
[2] Denial of Service (DoS) Attack Detection: Performance Comparison of Supervised Machine Learning Algorithms
Li, Zhuolin
Zhang, Hao
Shahriar, Hossain
Lo, Dan
Qian, Kai
Whitman, Michael
Wu, Fan
[J]. 2020 IEEE INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, INTL CONF ON CLOUD AND BIG DATA COMPUTING, INTL CONF ON CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/CBDCOM/CYBERSCITECH), 2020, : 469 - 474
[3] Stealthy Denial of Service (DoS) attack modelling and detection for HTTP/2 services
Adi, Erwin
Baig, Zubair
Hingston, Philip
[J]. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2017, 91 : 1 - 13
[4] An effective Denial of Service Attack Detection Method in Wireless Mesh Networks
Luan, Liangyu
Fu, Yingfang
Xiao, Peng
[J]. 2012 INTERNATIONAL CONFERENCE ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING (ICMPBE2012), 2012, 33 : 354 - 360
[5] Detection of Denial of Service (DoS) Attack in Vehicular Ad Hoc Networks: A Systematic Literature Review
Durrani, Amman
Latif, Seemab
Latif, Rabia
Abbas, Haider
[J]. AD HOC & SENSOR WIRELESS NETWORKS, 2018, 42 (1-2) : 35 - 61
[6] Intrusion Detection Systems' Performance for Distributed Denial-of-Service Attack
de Sousa Araujo, Tiago Emilio
Matos, Fernando Menezes
Moreira, Josilene Aires
[J]. 2017 CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES (CHILECON), 2017,
[7] A detection design for distributed denial of service attack
Fujita, N
[J]. 6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL I, PROCEEDINGS: INFORMATION SYSTEMS DEVELOPMENT I, 2002, : 78 - 82
[8] Denial-of-Service Attack Detection System
Thakare, Supriya S.
Kaur, Parminder
[J]. 2017 1ST INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND INFORMATION MANAGEMENT (ICISIM), 2017, : 281 - 285
[9] A Novel Mechanism of Detection of Denial of Service Attack (DoS) in VANET using Malicious and Irrelevant Packet Detection Algorithm (MIPDA)
Quyoom, Abdul
Ali, Raja
Gouttam, Devki Nandan
Sharma, Harish
[J]. 2015 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION & AUTOMATION (ICCCA), 2015, : 414 - 419
[10] MPTCP based mitigation of Denial of Service (DoS) Attack in PMU Communication Networks
Farooq, Shaik Mullapathi
Nabirasool, Shaik
Kiran, S.
Hussain, S. M. Suhail
Ustun, Taha Selim
[J]. 2018 IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES), 2018,

← 1 2 3 4 5 →