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[HTML][HTML] Static analysis of information systems for IoT cyber security: A survey of machine learning approaches
Ensuring security for modern IoT systems requires the use of complex methods to analyze
their software. One of the most in-demand methods that has repeatedly been proven to be …
their software. One of the most in-demand methods that has repeatedly been proven to be …
Electrical-level attacks on CPUs, FPGAs, and GPUs: Survey and implications in the heterogeneous era
Given the need for efficient high-performance computing, computer architectures combining
central processing units (CPUs), graphics processing units (GPUs), and field-programmable …
central processing units (CPUs), graphics processing units (GPUs), and field-programmable …
PLATYPUS: Software-based power side-channel attacks on x86
Power side-channel attacks exploit variations in power consumption to extract secrets from a
device, eg, cryptographic keys. Prior attacks typically required physical access to the target …
device, eg, cryptographic keys. Prior attacks typically required physical access to the target …
Toward secured iot-based smart systems using machine learning
Machine learning (ML) and the internet of things (IoT) are among the most booming
research directions. Smart cities, smart campuses (SCs), smart homes, smart cars, early …
research directions. Smart cities, smart campuses (SCs), smart homes, smart cars, early …
Physical fault injection and side-channel attacks on mobile devices: A comprehensive analysis
Today's mobile devices contain densely packaged system-on-chips (SoCs) with multi-core,
high-frequency CPUs and complex pipelines. In parallel, sophisticated SoC-assisted …
high-frequency CPUs and complex pipelines. In parallel, sophisticated SoC-assisted …
PwrLeak: Exploiting Power Reporting Interface for Side-Channel Attacks on AMD SEV
An increasing number of Trusted Execution Environment (TEE) is adopting to a variety of
commercial products for protecting data security on the cloud. However, TEEs are still …
commercial products for protecting data security on the cloud. However, TEEs are still …
Machine learning benchmarking for secured iot smart systems
Smartness and IoT along with machine learning (ML) lead the research directions
nowadays. Smart city, smart campus, smart home, smart vehicle, etc; or if we call it “Smart x” …
nowadays. Smart city, smart campus, smart home, smart vehicle, etc; or if we call it “Smart x” …
Miracle: Micro-architectural leakage evaluation
In this paper, we describe an extensible experimental infrastructure and methodology for
evaluating the micro-architectural leakage, based on power consumption, which stems from …
evaluating the micro-architectural leakage, based on power consumption, which stems from …
Toshi-towards secure heterogeneous integration: Security risks, threat assessment, and assurance
The semiconductor industry is entering a new age in which device scaling and cost
reduction will no longer follow the decades-long pattern. Packing more transistors on a …
reduction will no longer follow the decades-long pattern. Packing more transistors on a …
Whispering devices: A survey on how side-channels lead to compromised information
While operating, information processing devices or communication systems may emit
unwanted signals (or alter existing ones) through electromagnetic waves, light, sound or …
unwanted signals (or alter existing ones) through electromagnetic waves, light, sound or …