Intrusion detection system- An efficient way to thwart against Dos/DDos attack in the cloud environment

Aishwarya, R.; Malliga, S.

doi:10.1109/icrtit.2014.6996163

Cited by 15 publications

(11 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is helpful in proving that the defense system can identify and block attacks, thereby increasing the availability of network bandwidth and resources for service. Low drop rate values indicate good mitigation performance [115], [119] and [120]. A similar metric of success-analyzing is used by Chung et al [121] to assess the capacity of the system in managing the rate of received packets.…”

Section: ) Attack Mitigationmentioning

confidence: 99%

“…• Processing time: Authors measure the processing time involved for the defense method to conduct computational cost and time analysis [100], [101], [103], [107], [123], [129] and [130] or the testing and data training time if data classification techniques are used. Usually, the average processing time (or detection time) is measured while increasing network congestion, client request rates [119], [126], or attack intensity [131]. It can also be measured for various attack durations [108].…”

Section: ) Deployment Costmentioning

confidence: 99%

See 1 more Smart Citation

Comprehensive Review of Artificial Intelligence and Statistical Approaches in Distributed Denial of Service Attack and Defense Methods

et al. 2019

View full text Add to dashboard Cite

Until now, an effective defense method against Distributed Denial of Service (DDoS) attacks is yet to be offered by security systems. Incidents of serious damage due to DDoS attacks have been increasing, thereby leading to an urgent need for new attack identification, mitigation, and prevention mechanisms. To prevent DDoS attacks, the basic features of the attacks need to be dynamically analyzed because their patterns, ports, and protocols or operation mechanisms are rapidly changed and manipulated. Most of the proposed DDoS defense methods have different types of drawbacks and limitations. Some of these methods have signature-based defense mechanisms that fail to identify new attacks and others have anomaly-based defense mechanisms that are limited to specific types of DDoS attacks and yet to be applied in open environments. Subsequently, extensive research on applying artificial intelligence and statistical techniques in the defense methods has been conducted in order to identify, mitigate, and prevent these attacks. However, the most appropriate and effective defense features, mechanisms, techniques, and methods for handling such attacks remain to be an open question. This review paper focuses on the most common defense methods against DDoS attacks that adopt artificial intelligence and statistical approaches. Additionally, the review classifies and illustrates the attack types, the testing properties, the evaluation methods and the testing datasets that are utilized in the methodology of the proposed defense methods. Finally, this review provides a guideline and possible points of encampments for developing improved solution models of defense methods against DDoS attacks. INDEX TERMS DDoS attack, DDoS defense, artificial intelligence technique, statistical technique.

show abstract

Section: ) Attack Mitigationmentioning

confidence: 99%

Section: ) Deployment Costmentioning

confidence: 99%

Comprehensive Review of Artificial Intelligence and Statistical Approaches in Distributed Denial of Service Attack and Defense Methods

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The result shows that the overall performance of this algorithm in detection accuracy and time consumption is superior to existing models. Regarding DDoS attacks, various detection strategies such as detection [36][37][38][39][40][41][42][43][44][45], mitigation [46][47][48][49][50][51][52][53][54] and Defence techniques [55][56][57][58][59][60][61][62][63][64][65][66] proposed for the cloud, and the performance compared. The comparative analysis based on the above said categories are given in Table-5, Table-6, and Table-7.…”

Section: A Survey Of Ddos Attacksmentioning

confidence: 99%

A Performance Perspective Analysis: A Detailed Vision on Denial of Service and Distributed Denial of Service on Cloud Computing

Mayuranathan*¹,

Murugan²,

Dhanakoti³

2019

IJRTE

View full text Add to dashboard Cite

In recent days cloud computing and cloud-based service, provisions play a vital and significant role in Internet-based information computing. It interrelates various applications like sales, purchase, banking, customer service, etc. and it behaves entirely as a service-oriented platform or environment. The primary objective of the cloud computing is sharing the resources within increased efficiency regarding time and cost for all kind of customers who needs a cloud service badly and immediately. Though the energy is high, it cannot assure that the cloud computing, service providing, and customer maintenance are highly secured. Service providers in the cloud are not strictly public; it may be private, community and hybrid. Malicious activities can be created or occurred in the middle of the communication and it is difficult to predict a particular person in the middle becomes a malicious user, from where and how. Secured data transmission and discussion in cloud computing considered as the main problem, and various earlier research works focused on tightening the security. The primary objective of this paper is to discuss different security mechanisms applied to multiple malicious threats in the cloud to understand the various issues and challenges faced in earlier research works. It provides a summary of the risks, appropriate method and the limitations and it helps to understand the primary and main problems related to security.

show abstract

“…In [21] the author uses the' strategy for SYN-based transmission control protocols. In this approach, the author provides two security layers.…”

Section: Review Of Literaturementioning

confidence: 99%

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

Parimala*,

Rabara,

Raj

2019

IJITEE

View full text Add to dashboard Cite

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.

show abstract

Intrusion detection system- An efficient way to thwart against Dos/DDos attack in the cloud environment

Cited by 15 publications

References 6 publications

Comprehensive Review of Artificial Intelligence and Statistical Approaches in Distributed Denial of Service Attack and Defense Methods

Comprehensive Review of Artificial Intelligence and Statistical Approaches in Distributed Denial of Service Attack and Defense Methods

A Performance Perspective Analysis: A Detailed Vision on Denial of Service and Distributed Denial of Service on Cloud Computing

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

Contact Info

Product

Resources

About