Survey on Encryption Techniques in Delay and Disruption Tolerant Network

Delay and disruption tolerant network (DTN) is used for long area communication in computer network, where there is no direct connection between the sender and receiver and there was no internet facility. Delay tolerant network generally perform store and forward techniques as a result intermediate node can view the message, the possible solution is using encryption techniques to protect the message. Starting stages of DTN RSA, DES, 3DES encryption algorithms are used but now a day\u27s attribute based encryption (ABE) techniques are used. Attribute based encryption technique can be classified in to two, key policy attribute based encryption (KPABE) and cipher policy attribute based encryption (CPABE). In this paper we perform a categorized survey on different encryption techniques presents in delay tolerant networks. This categorized survey is very helpful for researchers to propose modified encryption techniques. Finally the paper compares the performance and effectiveness of different encryption algorithms

Privacy-by-Design Regulatory Compliance Automation in Cloud Environment

The proposed Master's thesis revolves around the development of a privacy-preserving Attribute Verifier for regulatory compliance, first designed cryptographically, and then implemented in a Cloud Environment. The Attribute Verifier makes use of the Attribute Verification Protocol and its underlying encryption scheme, composed of Decentralized Attribute-Based Encryption (DABE) combined with a Zero- Knowledge Proof (ZKP) approach. The contribution of this work was integrating a ticketing system, concerning tickets of compliance, with the existing protocol, and automating the whole workflow, simulating all the actors involved, in AWS Cloud Environment. The major goal was to improve the security and privacy of sensitive data kept in the cloud as well as to comply with Cloud Regulatory, Standards, and different Data Protection Regulations. In particular, the use case covered in this Thesis refers to the General Protection Data Regulation (GDPR), specifically the compliance with Article 32. The word "Automation" in the title refers to the achievement of having automated in AWS Cloud Environment, through code, three main security objectives: Privacy, Identity and Access Management, and Attribute-based Access Control. A goal that was pursued because, in the majority of the cases, adherence to a Regulatory still requires heavy manual effort, especially when it's about pure Data Protection Regulations, i.e. in a legal setting. And when the manual effort is not required, confidentiality can be still heavily affected, and that's where the need for a privacy-by-design solution comes from. The Attribute Verifier was developed to verify the attributes of a Prover (e.g. a company, an institution, a healthcare provider, etc.) without revealing the actual attributes or assets and to grant access to encrypted data only if the verification is successful. The proposed example, among many applicable, it's the one a National Bank attempting to demonstrate to a Verifier, i.e. the European Central Bank, compliance with Article 32 of the GDPR

Smart, secure and seamless access control scheme for mobile devices

Smart devices capture users' activity such as unlock failures, application usage, location and proximity of devices in and around their surrounding environment. This activity information varies between users and can be used as digital fingerprints of the users' behaviour. Traditionally, users are authenticated to access restricted data using long term static attributes such as password and roles. In this paper, in order to allow secure and seamless data access in mobile environment, we combine both the user behaviour captured by the smart device and the static attributes to develop a novel access control technique. Security and performance analyses show that the proposed scheme substantially reduces the computational complexity while enhances the security compared to the conventional schemes