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cs.CR updates on arXiv.org

An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response From Privacy to Workflow Integrity: Communication-Graph Metadata in Autonomous Agent Interoperability Learn from Your Mistakes: Tree-like Self-Play for Secure Code LLMs Send a SCOUT First: Pre-hoc Reasoning for Adaptive Detector Allocation in Prompt-Injection Defense QSignAI: Quantum-Randomness-Seeded Identity Signatures at the Intersection of AI for Science and Science for AI A Standardized Ontology for Intent-Based Security Management in Autonomous Networks Code as a Weapon: A Consensus-Labeled Prompt Bank for Measuring Coding-Model Compliance with Malicious-Code Requests Cordyceps: Covert Control Attacks on LLMs via Data Poisoning SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness Mechanistic origins of catastrophic forgetting: why RL preserves circuits better than SFT? Red-Teaming Agent Execution Contexts: Open-World Security Evaluation on OpenClaw From Specification to Deployment: Empirical Evidence from a W3C VC + DID Trust Infrastructure for Autonomous Agents Vendor-Conditioned Contrastive Learning for Predicting Organizational Cyber Threat Targets Anomaly Detection in XML-Structured SOAP Messages Using Tree-Based Association Rule Mining A Formal Calculus for International Relations Computation and Evaluation On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis Moving Target Defense for Web Applications using Bayesian Stackelberg Games A Mathematical Trust Algebra for International Nation Relations Computation and Evaluation A First Attempt to Cloud-Based User Verification in Distributed System Some Experimental Issues in Financial Fraud Detection: An Investigation Using Data Analytics to Detect Anomalous States in Vehicles On the Differential Privacy of Bayesian Inference Building and Measuring Privacy-Preserving Predictive Blacklists Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification Security Games with Ambiguous Beliefs of Agents Generating and Exploring S-Box Multivariate Quadratic Equation Systems with SageMath Private Disclosure of Information in Health Tele-monitoring Applications of Artificial Intelligence Techniques to Combating Cyber Crimes: A Review Implicit Contextual Integrity in Online Social Networks Phishing Detection in IMs using Domain Ontology and CBA - An innovative Rule Generation Approach Detecting fraudulent activity in a cloud using privacy-friendly data aggregates The Application of Differential Privacy for Rank Aggregation: Privacy and Accuracy An Evasion and Counter-Evasion Study in Malicious Websites Detection Hybrid Epidemics - A Case Study on Computer Worm Conficker A Self-Adaptive Network Protection System An Argumentation-Based Framework to Address the Attribution Problem in Cyber-Warfare Protecting Privacy through Distributed Computation in Multi-agent Decision Making Using Neural Network to Propose Solutions to Threats in Attack Patterns A Utility-Theoretic Approach to Privacy in Online Services Intrusion Detection using Continuous Time Bayesian Networks A DDoS-Aware IDS Model Based on Danger Theory and Mobile Agents Mining Malware Specifications through Static Reachability Analysis Subjective Logic Operators in Trust Assessment: an Empirical Study GOTCHA Password Hackers! On estimating total time to solve SAT in distributed computing environments: Application to the SAT@home project POMDPs Make Better Hackers: Accounting for Uncertainty in Penetration Testing Les POMDP font de meilleurs hackers: Tenir compte de l'incertitude dans les tests de penetration Automated Attack Planning Penetration Testing == POMDP Solving? Attack Planning in the Real World An Algorithm to Find Optimal Attack Paths in Nondeterministic Scenarios A Fuzzy Logic Based Certain Trust Model for E-Commerce Predicting Network Attacks Using Ontology-Driven Inference Semantic Matching of Security Policies to Support Security Experts A formalization of re-identification in terms of compatible probabilities A trust-based security mechanism for nomadic users in pervasive systems Intrusion Detection on Smartphones Obesity Heuristic, New Way On Artificial Immune Systems Secured Wireless Communication using Fuzzy Logic based High Speed Public-Key Cryptography (FLHSPKC) Mining Permission Request Patterns from Android and Facebook Applications (extended author version) Building a Chaotic Proved Neural Network Detecting Danger: The Dendritic Cell Algorithm Detecting Anomalous Process Behaviour using Second Generation Artificial Immune Systems Outrepasser les limites des techniques classiques de Prise d'Empreintes grace aux Reseaux de Neurones Building Computer Network Attacks ToLeRating UR-STD The DCA:SOMe Comparison A comparative study between two biologically-inspired algorithms Real-Time Alert Correlation with Type Graphs Performance Evaluation of DCA and SRC on a Single Bot Detection Behavioural Correlation for Detecting P2P Bots Malicious Code Execution Detection and Response Immune System inspired by the Danger Theory Integrating Real-Time Analysis With The Dendritic Cell Algorithm Through Segmentation Integrating Innate and Adaptive Immunity for Intrusion Detection Information Fusion for Anomaly Detection with the Dendritic Cell Algorithm Further Exploration of the Dendritic Cell Algorithm: Antigen Multiplier and Time Windows Detecting Bots Based on Keylogging Activities Detecting Danger: Applying a Novel Immunological Concept to Intrusion Detection Systems Detecting Motifs in System Call Sequences Dendritic Cells for SYN Scan Detection Detecting Botnets Through Log Correlation DCA for Bot Detection Cooperative Automated Worm Response and Detection Immune Algorithm Cryptographic Implications for Artificially Mediated Games Differentially Private Empirical Risk Minimization An Immune Inspired Network Intrusion Detection System Utilising Correlation Context An Immune Inspired Approach to Anomaly Detection Hybrid Intrusion Detection and Prediction multiAgent System HIDPAS Artificial Dendritic Cells: Multi-faceted Perspectives AIS for Misbehavior Detection in Wireless Sensor Networks: Performance and Design Principles The Role of Self-Forensics in Vehicle Crash Investigations and Event Reconstruction Beyond Nash Equilibrium: Solution Concepts for the 21st Century From Qualitative to Quantitative Proofs of Security Properties Using First-Order Conditional Logic Danger Theory: The Link between AIS and IDS? Dempster-Shafer for Anomaly Detection The Danger Theory and Its Application to Artificial Immune Systems ANTIDS: Self-Organized Ant-based Clustering Model for Intrusion Detection System Analyzing and Improving Performance of a Class of Anomaly-based Intrusion Detectors Soft Constraint Programming to Analysing Security Protocols A Method for Clustering Web Attacks Using Edit Distance Encoding a Taxonomy of Web Attacks with Different-Length Vectors
A Comprehensive Test Pattern Generation Approach Exploiting SAT Attack for Logic Locking
Yadi Zhong, Ujjwal Guin · 2022-04-24 · via cs.CR updates on arXiv.org

The need for reducing manufacturing defect escape in today's safety-critical applications requires increased fault coverage. However, generating a test set using commercial automatic test pattern generation (ATPG) tools that lead to zero-defect escape is still an open problem. It is challenging to detect all stuck-at faults to reach 100% fault coverage. In parallel, the hardware security community has been actively involved in developing solutions for logic locking to prevent IP piracy. Locks (e.g., XOR gates) are inserted in different locations of the netlist so that an adversary cannot determine the secret key. Unfortunately, the Boolean satisfiability (SAT) based attack, introduced in [1], can break different logic locking schemes in minutes. In this paper, we propose a novel test pattern generation approach using the powerful SAT attack on logic locking. A stuck-at fault is modeled as a locked gate with a secret key. Our modeling of stuck-at faults preserves the property of fault activation and propagation. We show that the input pattern that determines the key is a test for the stuck-at fault. We propose two different approaches for test pattern generation. First, a single stuck-at fault is targeted, and a corresponding locked circuit with one key bit is created. This approach generates one test pattern per fault. Second, we consider a group of faults and convert the circuit to its locked version with multiple key bits. The inputs obtained from the SAT tool are the test set for detecting this group of faults. Our approach is able to find test patterns for hard-to-detect faults that were previously failed in commercial ATPG tools. The proposed test pattern generation approach can efficiently detect redundant faults present in a circuit. We demonstrate the effectiveness of the approach on ITC'99 benchmarks. The results show that we can achieve a perfect fault coverage reaching 100%.