Self‐similarity based DDoS attack detection using Hurst parameter

RK Deka, DK Bhattacharyya - Security and Communication …, 2016 - Wiley Online Library
Distributed denial‐of‐service attack is a serious concern in this era of voluminous Internet
world. The challenge is to find difference between distributed denial‐of‐service attack traffic …

ERM: An accurate approach to detect DDoS attacks using entropy rate measurement

L Zhou, K Sood, Y Xiang - IEEE Communications Letters, 2019 - ieeexplore.ieee.org
The challenges from Distributed Denial-of-Service (DDoS) attacks are severe and still
increasing significantly. We observe that the existing entropy-based methods only consider …

A novel measure for low-rate and high-rate DDoS attack detection using multivariate data analysis

N Hoque, DK Bhattacharyya… - 2016 8th International …, 2016 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attack is a major security threat for networks and
Internet services. The complexity and frequency of occurrence of DDoS attacks are growing …

[PDF][PDF] Rank Correlation for Low-Rate DDoS Attack Detection: An Empirical Evaluation.

A Ain, MH Bhuyan, DK Bhattacharyya… - Int. J. Netw. Secur., 2016 - ijns.jalaxy.com.tw
A low-rate distributed denial of service (DDoS) attack has the ability to obscure its traffic
because it is very similar to legitimate traffic. It can easily evade current detection …

Low‐rate DDoS attack detection using expectation of packet size

L Zhou, M Liao, C Yuan, H Zhang - Security and …, 2017 - Wiley Online Library
Low‐rate Distributed Denial‐of‐Service (low‐rate DDoS) attacks are a new challenge to
cyberspace, as the attackers send a large amount of attack packets similar to normal traffic …

[PDF][PDF] Distributed denial of service attacks detection method based on conditional random fields

S Chen, J Wu, X Ye, T Guo - Journal of Networks, 2013 - academia.edu
(DDoS) attacks accurately and efficiently, a new detection model based on conditional
random fields (CRF) was proposed. The CRF based model incorporates the signaturebased …

FFSc: a novel measure for low‐rate and high‐rate DDoS attack detection using multivariate data analysis

N Hoque, DK Bhattacharyya… - Security and …, 2016 - Wiley Online Library
Abstract A Distributed Denial of Service (DDoS) attack is a major security threat for networks
and Internet services. Attackers can generate attack traffic similar to normal network traffic …

Low-rate DDoS attacks detection and traceback by using new information metrics

Y Xiang, K Li, W Zhou - IEEE transactions on information …, 2011 - ieeexplore.ieee.org
A low-rate distributed denial of service (DDoS) attack has significant ability of concealing its
traffic because it is very much like normal traffic. It has the capacity to elude the current …

Machine learning based DDos detection through NetFlow analysis

J Hou, P Fu, Z Cao, A Xu - MILCOM 2018-2018 IEEE military …, 2018 - ieeexplore.ieee.org
Distributed Denial of Service (DDos) has been a lasting severe threat to Internet, which is
evolving both in technique and traffic volume recently. Many traditional detection methods …

Efficient DDoS flood attack detection using dynamic thresholding on flow-based network traffic

J David, C Thomas - Computers & Security, 2019 - Elsevier
Internet applications are used in various sectors as it contributes in enhancing the system
usage in many respects. However, the interconnected computer systems and networks are …