Task Parameters Analysis in Schedule-Based Timing Side-Channel Attack

Liu, Songran; Yi, Wang

doi:10.1109/access.2020.3019323

Cited by 9 publications

(3 citation statements)

References 34 publications

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“…The devised methods to directly infer the number of tasks, as well as the period and execution time of each task from the execution sequence. This eliminates the need for attackers to possess task parameter information beforehand, thereby intensifying the threat posed by schedule-based timing side-channel attacks [222].…”

Section: Side Channel Protection Countermeasuresmentioning

confidence: 99%

Era of Sentinel Tech: Charting Hardware Security Landscapes Through Post-Silicon Innovation, Threat Mitigation and Future Trajectories

Srinivas,

Elango

2024

IEEE Access

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To meet the demanding requirements of VLSI design, including improved speed, reduced power consumption, and compact architectures, various IP cores from trusted and untrusted platforms are often integrated into a single System-on-Chip (SoC). However, this convergence poses a significant security challenge, as adversaries can exploit it to extract unauthorized information, compromise system performance, and obtain secret keys. Meanwhile, traditional CMOS features have limitations in addressing hardware vulnerabilities and security threats, so promising post-silicon technologies offer potential solutions. Beyond-CMOS technologies offer avenues to fortify hardware security through distinct physical properties and nontraditional computing paradigms. These advancements bolster authentication processes, enhance key generation mechanisms, ensure hardware integrity and fortify resilience against side-channel attacks, hardware Trojans and quantum-resistant cryptography in securing hardware systems. This article provides a detailed review of hardware security, encompassing the identification and mitigation of threats, the implementation of robust countermeasures, the utilization of innovative primitives, countermeasures, various methodologies and distinct features offered by emerging technologies to resist hardware threats.Moreover, strategies to address challenges, explore future directions, and outline plans for achieving further research outcomes have been put forth in this field.

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Section: Side Channel Protection Countermeasuresmentioning

confidence: 99%

Era of Sentinel Tech: Charting Hardware Security Landscapes Through Post-Silicon Innovation, Threat Mitigation and Future Trajectories

Srinivas,

Elango

2024

IEEE Access

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“…[4]. Liu et al (2020) explain that these scheduling and timing side-channel attacks can be done even without knowing the existing task parameter information. However, an attacker can use this information and, at the same time, the order of execution process in the task system, even when it is possible to reconstruct the speci c schedule of the mission, to make a variety of subsequent attacks [5].…”

Section: Literature Surveymentioning

confidence: 99%

Security Performance Analysis during Side-Channel Attack Using Novel Cryptography Algorithm for VM Cloud

Gnanavel

Sathianesan

K.E³

et al. 2023

Preprint

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Cloud computing is a relatively new technology that allows multiple users to share computational resources and data over the internet. It supports multi-tenant to meet the needs of users to access the resources at the same time, it improves the profitability of the cloud service provider. The Virtual Machine (VM) operates on the same core device that is the focus of any aberrant or malicious attack. These attacks may include data leakage, privacy breaches, and unauthorized access to cloud resources. The outsider attacks may be server spoofing, stolen verifier, password guessing, impersonation, and replay attacks at the cloud’s network layer. The insider attacks may be side-channel attacks to gain access to shared resources. A Self-Adaptive Honey Encryption (SAHE) method for stronger multi-level authentication in a cloud environment the hypervisor layer monitors the running cloud memory, CUP, communication port, and network infrastructure. Introduce the classifier mode to identify the attack and VM risk level (high, medium, and low) to improve the VM performance and attack identification. A rule-based mechanism to detect a side-channel attack by monitoring cache data access. Processes running on the VM can use the cache of another virtual machine, creating a cache conflict in the system. The cache-based attack on the Physical Machine (PM) creates the cache contention to mitigate the attacker’s data. We propose a novel rule-based authentication with the swam optimization method for shifting the resource from an optimized VM into a physical machine. The migration method for optimal PM makes the VM free from cache contention, and it also mitigates the cache side-channel attack in the cloud environment.

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“…In [4], an automation process for data deduplication is presented towards increase of con dentiality. The system uses user end encryption and data comparison is performed with hash value of different les helps in faster and secure comparison.…”

Section: Related Workmentioning

confidence: 99%

Real Time Efficient Block Level Dual Mode Data Deduplication Towards Mitigating Side Channel Attack in Cloud Storage

Jayashree¹,

K.E²

2022

Preprint

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The task of data deduplication and privacy preservation in cloud storage is well studied. There exist numerous approaches to enforce such deduplication and user privacy in cloud storage. However, the methods suffer to achieve expected performance in various metrics. To handle this issue, an efficient Real Time Block Level Dual Mode Data Deduplication (RBDD) scheme is presented in this article. The approach not just concentrates on data deduplication but also focuses on restricting the malicious adversaries at the block level. The method first enforces access restriction in block level based on the key metrics as well as access metrics measured in terms of Access Behavioral Measure (ABM). Also, the method maintains Page Matrix to store the schema of different pages which has information about the blocks, keys and encryption schemes. The dual mode approach encrypts the data encrypted by the user by its own system key which has been dynamically updated and modified at different sessions to handle different threats. The deduplication is performed by verifying the data in block level by computing Block Level Relational Measure (BLRM). Overall, the method improves the performance of data deduplication, public auditing and privacy preservation. Also, the method improves the performance in access restriction towards QOS development.

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Task Parameters Analysis in Schedule-Based Timing Side-Channel Attack

Cited by 9 publications

References 34 publications

Era of Sentinel Tech: Charting Hardware Security Landscapes Through Post-Silicon Innovation, Threat Mitigation and Future Trajectories

Era of Sentinel Tech: Charting Hardware Security Landscapes Through Post-Silicon Innovation, Threat Mitigation and Future Trajectories

Security Performance Analysis during Side-Channel Attack Using Novel Cryptography Algorithm for VM Cloud

Real Time Efficient Block Level Dual Mode Data Deduplication Towards Mitigating Side Channel Attack in Cloud Storage

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