The revolutionary development of the Internet of Things has triggered a huge demand for
Internet of Things devices. They are extensively applied to various fields of social activities …

Machine learning techniques for cybersecurity-related software engineering tasks are
becoming increasingly popular. The representation of source code is a key portion of the …

Kernel rootkits generally attempt to maliciously tamper kernel objects and surreptitiously
distort program execution flow. Herein, we introduce a hardware-assisted hierarchical on …

Hardware-Assisted Flow Integrity extension (HAFIX) was proposed as a defense against
code-reuse attacks that exploit backward edges (returns). HAFIX provides fine-grained …

Quantum computers (QCs) are maturing. When QCs are powerful enough, they may be able
to handle problems in chemistry, physics, and finance that are not classically solvable …

Control flow critical metadata play a key role in hardware-based control flow integrity (CFI)
mechanisms that effectively monitor and secure program control flow based on pre-extracted …

We propose TPE, a hardware-based framework to perform workload execution forensics in
microprocessors. Specifically, TPE leverages custom hardware instrumentation to capture …

The Hamming distance is ubiquitous in computing. Its computation gets expensive when
one needs to compare a string against many strings. Quantum computers (QCs) may speed …

We investigate the possibility of performing workload forensics and/or malware detection in
microprocessors through exclusively hardware-based methodologies. Specifically, we first …

Abstract Hardware-Assisted Flow Integrity eXtension (HAFIX) was proposed as a defense
against code-reuse attacks that exploit backward edges (returns). HAFIX provides fine …