Cross-Scale Persistence Analysis of EM Side-Channels for Reference-Free Detection of Always-On Hardware Trojans

Always-on hardware Trojans pose a serious challenge to integrated circuit trust, as they remain active during normal operation and are difficult to detect in post-deployment settings without trusted golden references. This paper presents a reference-free detection framework based on cross-scale...

Reference-Free EM Validation Flow for Detecting Triggered Hardware Trojans

Hardware Trojans HTs threaten the trust and reliability of integrated circuits ICs, particularly when triggered HTs remain dormant during standard testing and activate only under rare conditions. Existing electromagnetic EM side-channel-based detection techniques often rely on golden references o...

Reference-Free Spectral Analysis of EM Side-Channels for Always-On Hardware Trojan Detection

Always-on hardware Trojans HTs pose a critical risk to trusted microelectronics, yet most side-channel detection methods rely on unavailable golden references. We present a reference-free approach that combines time-frequency EM analysis with Gaussian Mixture Models GMMs. By applying Short-Time...

CONTEX-T: Contextual Privacy Exploitation Via Transformer Spectral Analysis for IoT Device Fingerprinting

The rapid expansion of internet of things IoT devices have created a pervasive ecosystem where encrypted wireless communications serve as the primary privacy and security protection mechanism. While encryption effectively protects message content, packet metadata and statistics inadvertently expo...

Pushing the Limits of Frequency Analysis in Leakage Abuse Attacks

Searchable encryption SE is the most scalable cryptographic primitive for searching on encrypted data. Typical SE constructions often allow access-pattern leakage, revealing which encrypted records are retrieved in the server's responses. All the known generic cryptanalyses assume either that the...

There'S Waldo: PCB Tamper Forensic Analysis Using Explainable AI on Impedance Signatures

The security of printed circuit boards PCBs has become increasingly vital as supply chain vulnerabilities, including tampering, present significant risks to electronic systems. While detecting tampering on a PCB is the first step for verification, forensics is also needed to identify the modified...

Fine-Grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams

Local Differential Privacy LDP enables massive data collection and analysis while protecting end users' privacy against untrusted aggregators. It has been applied to various data types e.g., categorical, numerical, and graph data and application settings e.g., static and streaming. Recent finding...

Technical Approaches to Uncovering and Remediating Malicious Activity

Summary This joint advisory is the result of a collaborative research effort by the cybersecurity authorities of five nations: Australia,1 Canada,2 New Zealand,34 the United Kingdom,5 and the United States.6 It highlights technical approaches to uncovering malicious activity and includes mitigati...

DGA-Detection - DGA Domain Detection using Bigram Frequency Analysis

More and more malware is being created with advanced blocking circumvention techniques. One of the most prevalent techniques being used is the use of Domain Generation Algorithms which periodically generates a set of Domains to contact a C&C server. The majority of these DGA domains generate rand...

Artificial Inteligent Packet Inspection Engine: AIEngine

AIEngine is a next generation interactive/programmable Python/Ruby/Java packet inspection engine with capabilities of learning without any human intervention, NIDS Network Intrusion Detection System functionality, DNS domain classification, network collector, network forensics and many others...

An In-Depth Look Into Data Stacking

Mandiant's Nick Bennett and Jake Valletta discussed data stacking at MIRcon™ last month. If you were unable to attend the talk, we will discuss this data analysis technique here on the M-Unition blog. What is Data Stacking? Data stacking is the application of frequency analysis to large volumes o...