Analysis of accounting models for the detection of duplicate requests in web services

Venkatesan, S.; Basha, M. S. Saleem; Chellappan, C.; Vaish, Anurika; Dhavachelvan, P.

doi:10.1016/j.jksuci.2012.05.003

Cited by 7 publications

(5 citation statements)

References 22 publications

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“…This is especially important for web sites that provide remote rocedure call (RPC). Therefore, the problem of Denial of Service (DoS) attack is discussed in [19], and various solutions are analyzed. What is more, a new model is proposed to protect against this type of attack by storing the history of the client requests.…”

Section: Literature Reviewmentioning

confidence: 99%

An Analysis of a Web Service based Approach for Experimental Data Sharing

et al. 2018

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This paper presents the results obtained from a comparative analysis of two methods for experimental data sharing. Several works related to the topic and some approaches for processing data have been discussed. Different technolgoies related to the web services, ways of using them and the areas of their application are analyzed. For the purposes of the study, a web service for retrieving specific data from a behavioral experiments database was developed.The methodology and conditions for conducting the experiments are described. Two different indicators are analyzed, respectively: time to retrieve the data from a database and iteration time across all records through one loop. The results show that when retrieving thousands of records both web service based approach and an approach based on a remote database server can be used. However, when retrieving millions of records, the fastest approach was the one that uses remote database server. The obtainedresultsshow that the dynamic arrays (containing strings) iterated much faster across all data records than the dataset approach.

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Section: Literature Reviewmentioning

confidence: 99%

An Analysis of a Web Service based Approach for Experimental Data Sharing

et al. 2018

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“…Cookie based accounting model [7] records each and every client request in the cookie and the hash value of the cookie in the server database to detect the client's misbehavior. These misbehavior ranges from modifying the cookie information or retransmitting the prior request cookie along with the current request.…”

Section: Related Workmentioning

confidence: 99%

A Novel Approach of Detection and Mitigation of DDOS Attack

2015

International Institute of Engineers April 20-21, 2015 Bangkok (Thailand)

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We are in the era of internet and depend on it for every necessary requirement. It is the tendency of the some human to have destructive approach rather than having constructive approach. Among the abuse and misuse of internet, the distributed denial of service attack (DDOS) is the most hectic one. People have carried out various method of mitigation using the CAPTCHA (Completely Automated Public Turing Test to tell Computer and Human Apart) technique, but frequent use of CAPTCHA test for every access may turn the legitimate client away from the server. So our proposed mechanism tries to impose CAPTCHA test only after finding the suspected clients instead of applying to all the clients. The suspected clients have to go through a CAPTCHA test in order to get the access to the server. In our experiment we considered the slowloris attack which is one of the application layer DDOS attack.

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“…Venkatesan et al . designed and modified the cookie information by resending it to the requestors. Moreover, the clients' misbehaviour was identified by monitoring service requests received by sever.…”

Section: Related and Background Workmentioning

confidence: 99%

“…However, because the proposed system demands more time constraints, its efficiency rate is evaluated through the experiment results. Venkatesan et al [22] designed and modified the cookie information by resending it to the requestors. Moreover, the clients' misbehaviour was identified by monitoring service requests received by sever.…”

Section: Related and Background Workmentioning

confidence: 99%

Data privacy breach prevention framework for the cloud service

Dhasarathan

Thirumal

Dhavachelvan

2014

Security Comm Networks

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This paper examines the privacy awareness and importance of user's secrecy preserving in current ubiquitous cloud computing world. Data stored in the cloud have highly sensitive information. Once the private information gets misused, the probability of privacy breaching increases, which thereby reduces user's trust on cloud providers. In the emerging cloud service-based internet world, user's information management is a most decisive task. Information stored in the cloud by the finance, healthcare and government sectors makes it all the more challenging because such tasks are to be handled globally. The present scenario therefore demands a new Petri net privacy preserving framework for safeguarding user's privacy and providing consistent and breachless services from the cloud. This is carried out by designing Petri net privacy preserving framework and mitigating privacy using proposed synchronization, sequential, concurrency and conflicts technique. Synchronization, sequential, concurrency and conflicts technique adopts the Petri net model in which employs multiagent-based privacy preserving cohesion technique for handling multiple tasks to prevent the user private information. The proposed technique conveys and collaborates with leading cloud providers to develop, validate, promote, adapt and also increase the need for privacy, flexibility and availability without affecting the performance of cloud service providers and consumers. It acts as an information preserving guard for high secrecy data storage areas. This paper summarizes with few directives towards future research.

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Analysis of accounting models for the detection of duplicate requests in web services

Cited by 7 publications

References 22 publications

An Analysis of a Web Service based Approach for Experimental Data Sharing

An Analysis of a Web Service based Approach for Experimental Data Sharing

A Novel Approach of Detection and Mitigation of DDOS Attack

Data privacy breach prevention framework for the cloud service

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