A comprehensive discovery for preventing Denial of service intrusions over Hybrid cloud using Emerging techniques(ROTA)

2018 ◽  
Author(s):  
VHS.P Akhil Sharma ◽  
M Saravanan
Keyword(s):  
Denial Of Service ◽  
Hybrid Cloud

Algorithm for Secure Hybrid Cloud Design Against DDoS Attacks

2018 ◽  
Vol 13 (4) ◽  
pp. 61-77 ◽  
Author(s):  
Akashdeep Bhardwaj ◽  
Sam Goundar
Keyword(s):  
Service Industry ◽  
Denial Of Service ◽  
Hybrid Cloud ◽  
Ddos Attacks ◽  
Cloud Infrastructure ◽  
Dos Attacks ◽  
Cloud Application ◽  
Government Education ◽  
Cloud Environments ◽  
Cloud Applications

This article describes how cloud computing has become a significant IT infrastructure in business, government, education, research, and service industry domains. Security of cloud-based applications, especially for those applications with constant inbound and outbound user traffic is important. It becomes of the utmost importance to secure the data flowing between the cloud application and user systems against cyber criminals who launch Denial of Service (DoS) attacks. Existing research related to cloud security focuses on securing the flow of information on servers or between networks but there is a lack of research to mitigate Distributed Denial of Service attacks on cloud environments as presented by Buyya et al. and Fachkha, et al. In this article, the authors propose an algorithm and a Hybrid Cloud-based Secure Architecture to mitigate DDoS attacks. By proposing a three-tier cloud infrastructure with a two-tier defense system for separate Network and Application layers, the authors show that DDoS attacks can be detected and blocked before reaching the infrastructure hosting the Cloud applications.

Algorithm for Secure Hybrid Cloud Design Against DDoS Attacks

2020 ◽  
pp. 303-320
Author(s):  
Akashdeep Bhardwaj ◽  
Sam Goundar
Keyword(s):  
Service Industry ◽  
Denial Of Service ◽  
Hybrid Cloud ◽  
Ddos Attacks ◽  
Cloud Infrastructure ◽  
Dos Attacks ◽  
Cloud Application ◽  
Government Education ◽  
Cloud Applications ◽  
Flow Of Information

This article describes how cloud computing has become a significant IT infrastructure in business, government, education, research, and service industry domains. Security of cloud-based applications, especially for those applications with constant inbound and outbound user traffic is important. It becomes of the utmost importance to secure the data flowing between the cloud application and user systems against cyber criminals who launch Denial of Service (DoS) attacks. Existing research related to cloud security focuses on securing the flow of information on servers or between networks but there is a lack of research to mitigate Distributed Denial of Service attacks on cloud environments as presented by Buyya et al. and Fachkha, et al. In this article, the authors propose an algorithm and a Hybrid Cloud-based Secure Architecture to mitigate DDoS attacks. By proposing a three-tier cloud infrastructure with a two-tier defense system for separate Network and Application layers, the authors show that DDoS attacks can be detected and blocked before reaching the infrastructure hosting the Cloud applications.

scholarly journals Entropy based Intrusion Detection System in Hybrid Cloud

2019 ◽  
Vol 8 (3) ◽  
pp. 5686-5691
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Denial Of Service ◽  
Hybrid Cloud ◽  
Software Application ◽  
Entropy Estimation ◽  
Course Of Action ◽  
Principle Objective

The principle objective of Denial-of-Service (DoS) assaults is to restrain or much more terrible keep genuine clients from getting to organize assets, administrations, and data. To defeat the deformities of the DOS assault we fundamental plan an IDS. An Intrusion revelation structure (IDS) is a device or software application that screens a framework or systems for harmful activity or course of action encroachment. In this paper, we propose another element choice technique on recognizing a portion of the potential traits of a DoS assault dependent on processed load for every one of the qualities utilizing entropy estimation and recursive component end. We apply one of the proficient classifier choice tree calculation for assessing highlight decrease technique. Choice Tree is the basic methods connected to interruption discovery framework and keep the assaults from the interlopers. The NSL-KDD informational collection is the refined variant of the KDD cup99 informational collection. Numerous sorts of examination have been completed by numerous specialists on the NSL-KDD dataset utilizing diverse strategies and apparatuses with a general target to build up a compelling interruption identification framework

Separating Monitoring from Control in SDN to Mitigate DDoS Attacks in Hybrid Clouds

2020 ◽  
Vol 10 (3) ◽  
pp. 382-394
Author(s):  
Tarek S. Sobh
Keyword(s):  
Denial Of Service ◽  
Attack Detection ◽  
Hybrid Cloud ◽  
Cloud Environment ◽  
Public Cloud ◽  
Ddos Attacks ◽  
Traffic Pattern ◽  
Proposed Model ◽  
Communication Time ◽  
Secure Networks

Background & Objective: Detecting and mitigating Distributed Denial of Service (DDoS) attacks is a serious problem. In addition, new features and network deployments such as Software- Defined Networking (SDN) may open the door for new threats that did not previously exist. : Recent publications and patent are reviewed to find new techniques developed for integrating different mechanisms to secure networks against DDoS. Methods: This work presents a simple model for integrating different mechanisms to secure both SDN and legacy network in a hybrid cloud environment, it is called FocusON. It aims at mitigating DDoS attacks of a victim network. In addition, separating network monitoring from its control aims at mitigating DDoS attacks of a victim network. Traffic pattern analysis is apart from attack detection mechanism that gives a conceptual representation of a specific kind of DDoS attacks. DDoS detection is a completely automated process. Once called, for the reaction, the active response will be taken against the real IP source of the attacker. : The communication time overhead was tested in order to evaluate the remote server response time in case of deploying our proposed model mechanisms and without our proposed model. : Here we introduce a response mechanism that consists of an analysis of event logs, traffic patterns, and IP traceback. The proposed model categorizes the underlying network according to the location into a victim network and the source of attack (public cloud). Results & Conclusion:: The proposed model implemented in a hybrid cloud environment using the network of SDN and legacy network. The experimental setup was built using our network lab connected to the Amazon public cloud.

HULK and DDoS Attacks in Web Applications with Detection Mechanism

2018 ◽  
Vol 6 (6) ◽  
pp. 192
Author(s):  
Amit Sharma
Keyword(s):  
Web Applications ◽  
Denial Of Service ◽  
Single Server ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Application Layer ◽  
Detection Mechanism ◽  
Plan Execution ◽  
Social Affair ◽  
Server Application

Distributed Denial of Service attacks are significant dangers these days over web applications and web administrations. These assaults pushing ahead towards application layer to procure furthermore, squander most extreme CPU cycles. By asking for assets from web benefits in gigantic sum utilizing quick fire of solicitations, assailant robotized programs use all the capacity of handling of single server application or circulated environment application. The periods of the plan execution is client conduct checking and identification. In to beginning with stage by social affair the data of client conduct and computing individual user’s trust score will happen and Entropy of a similar client will be ascertained. HTTP Unbearable Load King (HULK) attacks are also evaluated. In light of first stage, in recognition stage, variety in entropy will be watched and malevolent clients will be recognized. Rate limiter is additionally acquainted with stop or downsize serving the noxious clients. This paper introduces the FAÇADE layer for discovery also, hindering the unapproved client from assaulting the framework.

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