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With the advent of the Internet of Things (IoT), the conventional healthcare system has evolved into a smart healthcare system, offering intelligent prognosis and diagnosis services. However, as the healthcare sector embraces technological ...

In contemporary database applications, the demand for memory resources is intensively high. To enhance adaptability to varying resource needs and improve cost efficiency, the integration of diverse storage technologies within heterogeneous memory ...

In the field of data privacy and security, performing computations on encrypted data without compromising confidentiality presents a significant challenge. The fast fully homomorphic encryption for secure statistical computation (FFHE-SSC) framework, ...

The increasing prevalence of data breaches necessitates robust data protection measures in computational tasks. Secure computation outsourcing (SCO) presents a viable solution by safeguarding the confidentiality of inputs and outputs in data processing ...

Gaining reliable arbitrary code execution through the exploitation of memory corruption vulnerabilities is becoming increasingly more difficult in the face of modern exploit mitigations. Facing this challenge, adversaries have started shifting their ...

A data lake is a relatively recent technology to maintain and allow access to voluminous and heterogeneous data sources. Governments, large corporations and startups have increasingly considered it for storing useful data and obtain valuable business ...

To secure mobile devices, such as laptops and smartphones, against unauthorized physical data access, employing Full Disk Encryption (FDE) is a popular defense. This technique is effective if the device is always shut down when unattended. However, ...

Gaining reliable arbitrary code execution through the exploitation of memory corruption vulnerabilities is becoming increasingly more difficult in the face of modern exploit mitigations. Facing this challenge, adversaries have started shifting their ...

Public cloud storage is an important resource of modern computing. One important aspect is the potential to improve economic efficiency. It can be drastically increased by leveraging deduplication techniques. The authors of this paper aim to minimize ...

In the growing Internet of Things context, thousands of computing devices with various functionalities are producing data (from environmental sensors or other sources). However, they are also collecting, storing, processing and transmitting data to ...

AMD SEV is a hardware extension for main memory encryption on multi-tenant systems. SEV uses an on-chip coprocessor, the AMD Secure Processor, to transparently encrypt virtual machine memory with individual, ephemeral keys never leaving the coprocessor. ...

The issue of security in the distributed system landscape of a service‐oriented architecture (SOA) is a challenging one. No longer is it limited to a local application or an application domain, security must now work across a range of applications and ...

Load balancing and privacy preservation of data plays an important role in cloud. Few research works have been designed to perform load balancing on cloud server but, performance was not improved. In order to overcome such limitation, a binomial logit ...

Cloud computing is the reference paradigm to provide data storage and management in a convenient and scalable manner. However, moving data to the cloud raises several issues, including the confidentiality of data and of accesses that are no more under the ...

The broadcast nature of communication systems opens the possibility for attackers to eavesdrop the data and compromise data confidentiality. This study takes the information theoretic security at the physical layer of single‐input single‐output orthogonal ...

Cloud computing offers a cost-efficient data analytics platform. However, due to the sensitive nature of data, many organizations are reluctant to analyze their data in public clouds. Both software-based and hardware-based solutions have been proposed ...

The exponential growth of data produced, the ever faster and ubiquitous connectivity, and the collaborative processing tools lead to a clear shift of data stores from local servers to the cloud. This migration occurring across different application ...

Data confidentiality and privacy is a serious concern in pervasive systems where cloud computing is used to process huge amount of data such as matrix multiplications typically used in HPC. Due to limited processing capabilities, smart devices need to ...

Keys for symmetric cryptography are usually stored in RAM and therefore susceptible to various attacks, ranging from simple buffer overflows to leaks via cold boot, DMA or side channels. A common approach to mitigate such attacks is to move the keys to ...

In this paper, we propose a privacy-preserving algorithm for two-party distributed permutation test for the difference of means. Our algorithm allows two parties to jointly perform a permutation test on the union of their data without revealing their ...