EMPROF: Memory Profiling Via EM-Emanation in IoT and Hand-Held Devices

Eavesdropping on Black-box Mobile Devices via Audio Amplifier's EMR

“…It attracts many researchers' attentions of investigating the system vulnerabilities caused by leaking EMRs. Following this line of researches, EMRs have been exploited to infer victim's keystrokes on keyboards [24], [25], [43], profile device memory usages [44], identify the model of LCD monitors [34], recover the displayed information on mobile screens [35], and exfiltrate secret data by establishing electromagnetic covert channel [45]- [47]. In addition, the most recent studies show that fine-grained data processed on the device also have the leakage threats via EMRs.…”

DeepSniffer

“…We consider the following two attack scenarios according to the obtained architectural hints. Table 1 summarizes the available architectural hints and the extracted DNN model types under these two scenarios: 1) Scenario-1 (Side-channel attack): Previous studies show electromagnetic (EM) emanations can easily obtain the offchip events [6] and even perform memory profiling [13]. Therefore, we can obtain the read and write memory access volume (R v , W v ) by EM side-channel attacks.…”

Cache Contention on Multicore SystemsAn Ontology-based Approach

“…There have been many approaches to resolve or reduce such cache contention, most of these approaches depend on three major components which are: the used benchmark, the classification scheme, the policies, and the used algorithms. The NAS Parallel Benchmarks (NPB) [2], [3], The Standard Performance Evaluation Corporation (SPEC) [4], [5] and Princeton Application Repository for Shared-Memory Computers (PARSEC) [6] are among the popular benchmarking software. Schemes are used for finding the best corunner of an application with another.…”