Automatic Intent-Based Secure Service Creation Through a Multilayer SDN Network Orchestration

Growing traffic demands and increasing security awareness are driving the need for secure services. Current solutions require manual configuration and deployment based on the customer's requirements. In this work, we present an architecture for an automatic intent-based provisioning of a secure service in a multilayer - IP, Ethernet, and optical - network while choosing the appropriate encryption layer using an open-source software-defined networking (SDN) orchestrator. The approach is experimentally evaluated in a testbed with commercial equipment. Results indicate that the processing impact of secure channel creation on a controller is negligible. As the time for setting up services over WDM varies between technologies, it needs to be taken into account in the decision-making process.Comment: Parts of the presented work has received funding from the European Commission within the H2020 Research and Innovation Programme, under grant agreeement n.645127, project ACIN

Secured Uploading and Retrieval of Data Using Visual Cryptography Scheme

Cloud storage provides a convenient, massive, and scalable storage at low cost, but data security is a major issue that prevents users from storing ?les on the cloud. This paper focuses on security for the documents that are uploaded and stored on the cloud. However, it poses risks to end users unless the data is encrypted for security. This study addresses these issues by proposing Visual Cryptography Scheme (VCS) for securing the files. In order to prevent issues like breaches and malware attacks on cloud, this innovative scheme helps in high level security to safeguard the files that are stored on the clou

Homomorphic Encryption using Enhanced Data Encryption Scheme for Cloud Security

In un-confided frameworks or applications security is improved by performing Fully Homomorphic Encryption which deals with the touchy information. Homomorphic encryption empowers computing encrypted data without decrypting. Homomorphic encryption counteracts sharing of information inside the cloud service where information is put away in an public cloud. In Partially Homomorphic Encryption it performs either added substance or multiplicative activity, yet not the two tasks can be done at a same time. Though, if there should arise an occurrence of Fully Homomorphic Encryption the two activities can be completed at same time. In this paper, we endeavor to feature the issue of deciphering algorithms that can keep running on unencrypted or ordinary information to those which work on encrypted information. Here, we demonstrate that despite the fact that FHE gives the capacity to perform arbitrary computations, its total advantage must be acquired in the event that they additionally permit to execute arbitrary algorithms on encrypted information. In this model, Enhanced Data Encryption Technique is utilized to perform FHE activities on encrypted information and arranging is performed utilizing the encrypted information

Survey on Efficient Information Retrieval for Ranked Query in Cost-Efficient Clouds

Cloud computing technology redefines the advances in information technology. The most challenging research works in cloud computing is privacy and protection of data. Cloud computing provides an innovative business model for organizations with minimal investment. Cloud computing has emerged as a major driver in reducing the information technology costs incurred by organizations. Security is one of the major issues in cloud computing. So it is necessary to protect the user privacy while querying the data in the cloud environment, different techniques are developed by researchers to provide privacy, but the computational and bandwidth costs increased which are unacceptable to the users. This paper presents description and comparison of Ostrovsky, COPS and EIRQ protocols which are currently available for retrieving information from clouds. EIRQ protocol is the latest among these protocols and it addresses the issues of privacy, aggregation, CPU consumption and network bandwidth usage