Enhanced-Adaptive Pattern Attack Recognition Technique (E-APART) Against EDoS Attacks in Cloud Computing

2015 ◽  
Vol 17 (3) ◽  
pp. 41-55
Author(s):  
Rohit Thaper ◽  
Amandeep Verma
Keyword(s):  
Cloud Computing ◽  
Pattern Analysis ◽  
Denial Of Service ◽  
Cloud Services ◽  
Distributed Denial Of Service ◽  
Cloud Platform ◽  
Edos Attacks ◽  
The Cost ◽  
Adaptive Pattern ◽  
Recognition Technique

Cloud Computing is most widely used in current technology. It provides a higher availability of resources to greater number of end users. In the cloud era, security has develop a reformed source of worries. Distributed Denial of Service (DDoS) and Economical Denial of Sustainability (EDoS) are attacks that can affect the ‘pay-per-use' model. This model automatically scales the resources according to the demand of consumers. The functionality of this model is to mitigate the EDoS attack by some tactical attacker/s, group of attackers or zombie machine network (BOTNET) to minimize the availability of the target resources, which directly or indirectly reduces the profits and increase the cost for the cloud operators. This paper presents a model called Enhanced-APART which is step further of the authors' previous model (APART) that can be used to mitigate the EDoS attack from the cloud platform and shows the nature of the attack. Enhanced-APART model offers pre-shared security mechanism to ensure the access of legitimate users on the cloud services. It also performs pattern analysis in order to detect the EDoS caused by BOTNET mechanism and includes time-based and key-sharing post-setup authentication scheme to prevent the replication or replay attacks and thus results in mitigation of EDoS attack.

scholarly journals Adaptive Learning and Automatic Filtering of Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environment

2019 ◽  
Vol 9 (1S3) ◽  
pp. 200-205
Keyword(s):  
Cloud Computing ◽  
Adaptive Learning ◽  
Denial Of Service ◽  
Cloud Services ◽  
Detection Accuracy ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Automatic Filtering

Distributed Denial of Service (DDoS) attacks has become the most powerful cyber weapon to target the businesses that operate on the cloud computing environment. The sophisticated DDoS attack affects the functionalities of the cloud services and affects its core capabilities of cloud such as availability and reliability. The current intrusion detection system (IDS) must cope with the dynamicity and intensity of immense traffic at the cloud hosted applications and the security attack must be inspected based on the attack flow characteristics. Hence, the proposed Adaptive Learning and Automatic Filtering of Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environment is designed to adapt with varying kind of protocol attacks using misuse detection. The system is equipped with custom and threshold techniques that satisfies security requirements and can identify the different DDoS security attacks. The proposed system provides promising results in detecting the DDoS attacks in cloud environment with high detection accuracy and good alert reduction. Threshold method provides 98% detection accuracy with 99.91%, 99.92% and 99.94% alert reduction for ICMP, UDP and TCP SYN flood attack. The defense system filters the attack sources at the target virtual instance and protects the cloud applications from DDoS attacks.

scholarly journals Shield Advanced Mitigation System of Distributed Denial of Service Attack in Integration of Internet of Things and Cloud Computing Environment

2019 ◽  
Vol 9 (2) ◽  
pp. 1300-1306
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Denial Of Service ◽  
Cloud Services ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Denial Of Service Attack ◽  
Ddos Attack ◽  
Service Attack ◽  
Verification Process

Cloud services among public and business companies have become popular in recent years. For production activities, many companies rely on cloud technology. Distributed Denial of Services (DDoS) attack is an extremely damaging general and critical type of cloud attacks. Several efforts have been made in recent years to identify numerous types of DDoS attacks. This paper discusses the different types of DDoS attacks and their cloud computing consequences. Distributed Denial of Service attack (DDoS) is a malicious attempt to disrupt the normal movement of a targeted server, service or network through influx of internet traffic overwhelming the target or its infrastructure. The use of multiple affected computer systems as a source of attacks makes DDoS attacks effective. Computers and other networked tools, including IoT phones, may be included on exploited machines. A DDoS attack from a high level resembles a traffic jam that is caused by roads that prevents normal travel at their desired destination. So DDoS Attack is a major challenging problem in integrated Cloud and IoT. Hence, this paper proposes Shield Advanced Mitigation System of Distributed Denial of Service Attack in the integration of Internet of Things and Cloud Computing Environment. This secure architecture use two verification process to identify whether user is legitimate or malicious. Dynamic Captcha Testing with Equal Probability test for first verification process, moreover Zigsaw Image Puzzle Test is used for second verification process, and Intrusion Detection Prevention System is used to identify and prevent malicious user, moreover reverse proxy is used to hide server location. These functional components and flow could strengthen security in Client side network to provide cloud services furthermore to overcome distributed denial of service attack in the integration of Internet of Things and Cloud Environment.

scholarly journals The Slow HTTP Distributed Denial of Service Attack Detection in Cloud

2019 ◽  
Vol 20 (2) ◽  
pp. 285-298 ◽  
Author(s):  
A. Dhanapal ◽  
P. Nithyanandam
Keyword(s):  
Cloud Computing ◽  
Financial Services ◽  
Denial Of Service ◽  
Attack Detection ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Denial Of Service Attack ◽  
Ddos Attack ◽  
Service Attack ◽  
The Cost

Cloud computing became popular due to nature as it provides the flexibility to add or remove the resources on-demand basis. This also reduces the cost of investments for the enterprises significantly. The adoption of cloud computing is very high for enterprises running their online applications. The availability of online services is critical for businesses like financial services, e-commerce applications, etc. Though cloud provides availability, still these applications are having potential threats of going down due to the slow HTTP Distributed Denial of Service (DDoS) attack in the cloud. The slow HTTP attacks intention is to consume all the available server resources and make it unavailable to the real users. The slow HTTP DDoS attack comes with different formats such as slow HTTP headers attacks, slow HTTP body attacks and slow HTTP read attacks. Detecting the slow HTTP DDoS attacks in the cloud is very crucial to safeguard online cloud applications. This is a very interesting and challenging topic in DDoS as it mimics the slow network. This paper proposed a novel method to detect slow HTTP DDoS attacks in the cloud. The solution is implemented using the OpenStack cloud platform. The experiments conducted exhibits the accurate results on detecting the attacks at the early stages. The slowHTTPTest open source tool is used in this experiment to originate slow HTTP DDoS attacks.

scholarly journals Mitigation of Distributed Denial of Service Attacks in the Cloud

2017 ◽  
Vol 17 (4) ◽  
pp. 32-51 ◽  
Author(s):  
Wael Alosaimi ◽  
Michal Zak ◽  
Khalid Al-Begain ◽  
Roobaea Alroobaea ◽  
Mehedi Masud
Keyword(s):  
Denial Of Service ◽  
Cloud Services ◽  
Denial Of Service Attacks ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Dos Attacks ◽  
Future Directions ◽  
Edos Attacks ◽  
Weak Points

Abstract Cybersecurity attacks resulting in loss of availability of cloud services can have significantly higher impact than those in the traditional stand-alone enterprise setups. Therefore, availability attacks, such as Denial of Service attacks (DoS); Distributed DoS attacks (DDoS) and Economical Denial of Sustainability (EDoS) attacks receive increasingly more attention. This paper surveys existing DDoS attacks analyzing the principles, ways of launching and their variants. Then, current mitigation systems are critically discussed. Based on the identification of the weak points, the paper proposes a new mitigation system named as DDoS-Mitigation System (DDoS-MS) that attempts to overcome the identified gap. The proposed framework is evaluated, and an enhanced version of the proposed system called Enhanced DDoS-MS is presented. In the end, the paper presents some future directions of the proposed framework.

A SURVEY ON CLOUD-DENIAL OF SERVICE

2020 ◽  
Vol 1 (2) ◽  
pp. 1-5
Author(s):  
Bibek Naha ◽  
Siddhartha Banerjee ◽  
Sayanti Mondal
Keyword(s):  
Cloud Computing ◽  
Comparative Study ◽  
Denial Of Service ◽  
Distributed Denial Of Service ◽  
Cloud Environment ◽  
Dos Attack ◽  
Huge Amount ◽  
Denial Of Service Attack ◽  
Service Attack ◽  
Insight Into

Cloud Computing is one of the most nurtured as well as debated topic in today’s world. Billions of data of various fields ranging from personal users to large business enterprises reside in Cloud. Therefore, availability of this huge amount of data and services is of immense importance. The DOS (Denial of Service) attack is a well-known threat to the availability of data in a smaller premise. Whenever, it’s a Cloud environment this simple DOS attack takes the form of DDOS (Distributed Denial of Service) attack. This paper provides a generic insight into the various kinds of DOS as well as DDOS attacks. Moreover, a handful of countermeasures have also been depicted here. In a nutshell, it aims at raising an awareness by outlining a clear picture of the Cloud availability issues.Our paper gives a comparative study of different techniques of detecting DOS.

scholarly journals A swift unrest horde system for curtail SDO hit in cloud computing

2018 ◽  
Vol 7 (1.7) ◽  
pp. 156
Author(s):  
S Ravikumar ◽  
E Kannan
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Water Drop ◽  
Denial Of Service ◽  
Distributed Denial Of Service ◽  
Motion System ◽  
Novel Approach

One of the immense risk to benefit accessibility in distributed computing is Distributed Denial of Service. Here a novel approach has been proposed to limit SDO [Strewn Defiance of Overhaul] assaults. This has been wanted to accomplish by a canny quick motion horde organize. An astute horde arrange is required to guarantee independent coordination and portion of horde hubs to play out its handing-off tasks. Clever Water Drop calculation has been adjusted for appropriated and parallel advancement. The quick motion system was utilized to keep up availability between horde hubs, customers, and servers. We have intended to reproduce this as programming comprising of different customer hubs and horde hubs

Distributed Denial of Service (DDoS) detection by traffic pattern analysis

2012 ◽  
Vol 7 (4) ◽  
pp. 346-358 ◽  
Author(s):  
Theerasak Thapngam ◽  
Shui Yu ◽  
Wanlei Zhou ◽  
S. Kami Makki
Keyword(s):  
Pattern Analysis ◽  
Denial Of Service ◽  
Distributed Denial Of Service ◽  
Traffic Pattern ◽  
Ddos Detection
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