Biblio
Preserving medical data is of utmost importance to stake holders. There are not many laws in India about preservation, usability of patient records. When data is transmitted across the globe there are chances of data getting tampered intentionally or accidentally. Tampered data loses its authenticity for diagnostic purpose, research and various other reasons. This paper proposes an authenticity based ECDSA algorithm by signature verification to identify the tampering of medical image files and alerts by the rules of authenticity. The algorithm can be used by researchers, doctors or any other educated person in order to maintain the authenticity of the record. Presently it is applied on medical related image files like DICOM. However, it can support any other medical related image files and still preserve the authenticity.
Cloud computing is a standard architecture for providing computing services among servers and cloud user (CU) for preserving data from unauthorized users. Therefore, the user authentication is more reliable to ensure cloud services accessed only by a genuine user. To improve the authentication accuracy, Tiger Hash-based Kerberos Biometric Blowfish Authentication (TH-KBBA) Mechanism is introduced for accessing data from server. It comprises three steps, namely Registration, Authentication and Ticket Granting. In the Registration process, client enrolls user details and stores on cloud server (CS) using tiger hashing function. User ID and password is given by CS after registration. When client wants to access data from CS, authentication server (AS) verifies user identity by sending a message. When authenticity is verified, AS accepts user as authenticated user and convinces CS that user is authentic. For convincing process, AS generates a ticket and encrypted using Blowfish encryption. Encrypted ticket is sent back to user. Then, CU sends message to server containing users ID and encrypted ticket. Finally, the server decrypts ticket using blowfish decryption and verifies the user ID. If these two ID gets matched, the CS grants requested data to the user. Experimental evaluation of TH-KBBA mechanism and existing methods are carried out with different factors such as Authentication accuracy, authentications time and confidentiality rate with respect to a number of CUs and data.
Wearable devices for fitness tracking and health monitoring have gained considerable popularity and become one of the fastest growing smart devices market. More and more companies are offering integrated health and activity monitoring solutions for fitness trackers. Recently insurances are offering their customers better conditions for health and condition monitoring. However, the extensive sensitive information collected by tracking products and accessibility by third party service providers poses vital security and privacy challenges on the employed solutions. In this paper, we present our security analysis of a representative sample of current fitness tracking products on the market. In particular, we focus on malicious user setting that aims at injecting false data into the cloud-based services leading to erroneous data analytics. We show that none of these products can provide data integrity, authenticity and confidentiality.
In many-core systems, the processing elements are interconnected using Networks-on-Chip. An example of on-chip network is SoCIN, a low-cost interconnect architecture whose original design did not take into account security aspects. This network is vulnerable to eavesdropping and spoofing attacks, what limits its use in systems that require security. This work addresses this issue and aims to ensure the security properties of confidentiality and authenticity of SoCIN-based systems. For this, we propose the use of security mechanisms based on symmetric encryption at the network level using the AES (Advanced Encryption Standard) model. A reference multi-core platform was implemented and prototyped in programmable logic aiming at performing experiments to evaluate the implemented mechanisms. Results demonstrate the effectiveness of the proposed solution in protecting the system against the target attacks. The impact on the network performance is acceptable and the silicon overhead is equivalent to other solutions found in the literature.
DNA cryptography is one of the promising fields in cryptographic research which emerged with the evolution of DNA computing. In this era, end to end transmission of secure data by ensuring confidentiality and authenticity over the networks is a real challenge. Even though various DNA based cryptographic algorithms exists, they are not secure enough to provide better security as required with today's security requirements. Hence we propose a cryptographic model which will enhance the message security. A new method of round key selection is used, which provides better and enhanced security against intruder's attack. The crucial attraction of this proposed model is providing multi level security of 3 levels with round key selection and message encryption in level 1, 16×16 matrix manipulation using asymmetric key encryption in level 2 and shift operations in level 3. Thus we design a system with multi level encryption without compromising complexity and size of the cipher text.
In this paper a model of secure wireless sensor network (WSN) was developed. This model is able to defend against most of known network attacks and don't significantly reduce the energy power of sensor nodes (SN). We propose clustering as a way of network organization, which allows reducing energy consumption. Network protection is based on the trust level calculation and the establishment of trusted relationships between trusted nodes. The primary purpose of the hierarchical trust management system (HTMS) is to protect the WSN from malicious actions of an attacker. The developed system should combine the properties of energy efficiency and reliability. To achieve this goal the following tasks are performed: detection of illegal actions of an intruder; blocking of malicious nodes; avoiding of malicious attacks; determining the authenticity of nodes; the establishment of trusted connections between authentic nodes; detection of defective nodes and the blocking of their work. The HTMS operation based on the use of Bayes' theorem and calculation of direct and centralized trust values.