Computers & Security

Papers
(The TQCC of Computers & Security is 16. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-12-01 to 2025-12-01.)
ArticleCitations
Editorial Board260
Defend against adversarial attacks in malware detection through attack space management200
VeracOS: An operating system extension for the veracity of files186
Exploring compiler optimization space for control flow obfuscation182
The effectiveness of zoom touchscreen gestures for authentication and identification and its changes over time130
Reviewer Acknowledgement 2021127
Usable and secure? User perception of four authentication methods for mobile banking127
Towards a metrics suite for evaluating cache side-channel vulnerability: Case studies on an open-source RISC-V processor120
Editorial Board113
Influencing the security prioritisation of an agile software development project109
Reading is not believing: A multimodal adversarial attacker for Chinese-NLP model108
Enhancing intrusion detection in containerized services: Assessing machine learning models and an advanced representation for system call data107
RETRACTED: I recognize you by your steps: Privacy impact of pedometer data106
Cybersecurity preparedness of small-to-medium businesses: A Western Australia study with broader implications106
The Security Awareness Adventure: A serious game for security awareness training utilizing a state transition system and a probabilistic model100
Security First, Security by Design, or Security Pragmatism – Strategic Roles of IT Security in Digitalization Projects99
A novel Evil Twin MiTM attack through 802.11v protocol exploitation98
Investigating machine learning attacks on financial time series models96
Enhancing encrypted traffic analysis via source APIs: A robust approach for malicious traffic detection94
A lightweight packet forwarding verification in SDN using sketch92
A traffic anomaly detection scheme for non-directional denial of service attacks in software-defined optical network91
Covert timing channel detection based on isolated binary trees90
FiPiBox:Development of firewall for IoT networks using P4Pi90
Wasserstein distance guided feature Tokenizer transformer domain adaptation for network intrusion detection89
Navigating Cybersecurity Governance: The influence of opportunity structures in socio-technical transitions for small and medium enterprises88
A permission-carrying security policy and static enforcement for information flows in Android programs87
PPT: A privacy-preserving global model training protocol for federated learning in P2P networks86
The moderating effect of abusive supervision on information security policy compliance: Evidence from the hospitality industry85
A typology of cybersecurity behavior among knowledge workers82
AttackNet: Enhancing biometric security via tailored convolutional neural network architectures for liveness detection81
An analysis of zero-trust architecture and its cost-effectiveness for organizational security79
On Detecting and Classifying DGA Botnets and their Families79
Don’t get stung, cover your ICS in honey: How do honeypots fit within industrial control system security78
Multivariate time series anomaly detection with variational autoencoder and spatial–temporal graph network77
DynamicFuzz: Confidence-based directed greybox fuzzing for programs with unreliable call graphs77
GCN-MHSA: A novel malicious traffic detection method based on graph convolutional neural network and multi-head self-attention mechanism76
MADONNA: Browser-based malicious domain detection using Optimized Neural Network by leveraging AI and feature analysis75
BotPro: Data-driven Tracking & Profiling of IoT Botnets in the Wild74
MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach73
A bio-inspired optimal feature with convolutional GhostNet based squeeze excited deep-scale capsule network for intrusion detection73
Analysis of human reliability in detecting GPS spoofing on ECDIS in congested waterways under evidential reasoning and HEART approach72
Learning from cyber security incidents: A systematic review and future research agenda70
Cloud computing security: A survey of service-based models70
AIDTF: Adversarial training framework for network intrusion detection69
Improving transferable adversarial attack via feature-momentum69
A systematic literature review on online assessment security: Current challenges and integrity strategies69
Exploring capacitive swipe gesture for user authentication using a new large dataset68
A large-scale analysis of the effectiveness of publicly reported security patches68
Privacy-preserving distributed clustering: A fully homomorphic encrypted approach for time series67
Detecting DBMS bugs with context-sensitive instantiation and multi-plan execution67
TrojanProbe: Fingerprinting Trojan tunnel implementations by actively probing crafted HTTP requests66
Multi-probability sampling-based detection of malicious switching nodes in SDN65
BiTCN-TAEfficientNet malware classification approach based on sequence and RGB fusion63
Toward enhancing web privacy on HTTPS traffic: A novel SuperLearner attack model and an efficient defense approach with adversarial examples62
Formally verifying security protocols built on watermarking and jamming62
Understanding the chief information security officer: Qualifications and responsibilities for cybersecurity leadership62
SENSE: An unsupervised semantic learning model for cross-platform vulnerability search62
PVFL: Verifiable federated learning and prediction with privacy-preserving62
Would US citizens accept cybersecurity deresponsibilization? Perhaps not61
Improving transferability of adversarial examples by saliency distribution and data augmentation61
When expectation fails and motivation prevails: the mediating role of awareness in bridging the expectancy-capability gap in mobile identity protection61
HT2ML: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE60
On the Effectiveness of Ransomware Decryption Tools59
Tamp-X: Attacking explainable natural language classifiers through tampered activations59
KPointer: Keep the code pointers on the stack point to the right code59
White-box content camouflage attacks against deep learning58
Fuzzing drones for anomaly detection: A systematic literature review58
You are your friends: Detecting malware via guilt-by-association and exempt-by-reputation57
Cross-site scripting detection with two-channel feature fusion embedded in self-attention mechanism57
Extended right-angle difference ternary co-relation pattern: A new feature descriptor for face anti-spoofing57
New results on modeling and hybrid control for malware propagation in cyber–physical systems56
Cognitively reconfigurable mimic-based heterogeneous password recovery system55
A Privacy-Preserving Framework for Endorsement Process in Hyperledger Fabric55
Neuronal Jamming cyberattack over invasive BCIs affecting the resolution of tasks requiring visual capabilities55
Smart homes under siege: Assessing the robustness of physical security against wireless network attacks55
Multidimensional categorical data collection under shuffled differential privacy54
NERO: NEural algorithmic reasoning for zeRO-day attack detection in the IoT: A hybrid approach54
Enhancing adversarial robustness for deep metric learning via neural discrete adversarial training54
RAIDS: Robust autoencoder-based intrusion detection system model against adversarial attacks54
A multi-type vulnerability detection framework with parallel perspective fusion and hierarchical feature enhancement54
Beyond the sandbox: Leveraging symbolic execution for evasive malware classification53
Attack smarter: Attention-driven fine-grained webpage fingerprinting attacks53
Improving adversarial transferability through hybrid augmentation52
Foggier skies, clearer clouds: A real-time IoT-DDoS attack mitigation framework in fog-assisted software-defined cyber-physical systems52
A Systematical and longitudinal study of evasive behaviors in windows malware51
DeMal: Module decomposition of malware based on community discovery51
A comprehensive deep learning benchmark for IoT IDS51
Adaptive edge security framework for dynamic IoT security policies in diverse environments50
Privacy preserving unique robust and revocable passcode generation from fingerprint data50
Behind the scenes of attack graphs: Vulnerable network generator for in-depth experimental evaluation of attack graph scalability50
μ 50
Editorial Board50
An adversarial learning framework with cross-domain loss for median filtered image restoration and anti-forensics50
PRIVIUM: A differentiated privacy-privilege model for user security and safety in the metaverse49
Faster secure and efficient collaborative private data cleaning based on PSI49
Examining the inconsistent effect of privacy control on privacy concerns in e-commerce services: The moderating role of privacy experience and risk propensity48
Comparative evaluation of recent universal adversarial perturbations in image classification48
Robust and reusable LINDDUN privacy threat knowledge48
Forecasting cyber security threats landscape and associated technical trends in telehealth using Bidirectional Encoder Representations from Transformers (BERT)48
The meta attack language - a formal description48
GAIL-PT: An intelligent penetration testing framework with generative adversarial imitation learning48
Endpoint security reinforcement via integrated zero-trust systems: A collaborative approach47
Assessing information security culture: A mixed-methods approach to navigating challenges in international corporate IT departments47
Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks47
LiDAR point cloud transmission: Adversarial perspectives of spoofing attacks in autonomous driving47
Web of shadows: Investigating malware abuse of internet services47
An anomaly detection model for in-vehicle networks based on lightweight convolution with spectral residuals47
IDPFilter: Mitigating interdependent privacy issues in third-party apps46
FineGCP: Fine-grained dependency graph community partitioning for attack investigation46
Erratum to ‘Ensemble transfer attack targeting text classification systems’ [Computers & Security 117 (2022) 1–8/ 102695]45
Using approximate matching and machine learning to uncover malicious activity in logs45
A classification-by-retrieval framework for few-shot anomaly detection to detect API injection45
Biometric masterkeys44
FE-DaST: Fast and effective data-free substitute training for black-box adversarial attacks44
A Methodology For Large-Scale Identification of Related Accounts in Underground Forums44
An efficient two-stage pipeline model with filtering algorithm for mislabeled malware detection44
An empirical study of vulnerability discovery methods over the past ten years44
Personal CAPTCHA-based authentication protocol44
A critical survey of the security and privacy aspects of the Aadhaar framework44
Add noise to remove noise: Local differential privacy for feature selection43
Editorial Board43
XLMR4MD: New Vietnamese dataset and framework for detecting the consistency of description and permission in Android applications using large language models43
A multi-source log semantic analysis-based attack investigation approach43
Assessing the impact of packing on static machine learning-based malware detection and classification systems43
Model-based structural and behavioral cybersecurity risk assessment in system designs43
Navigating challenging terrain surrounding DoD response to homeland attacks on critical infrastructure: Case studies of prior incidents utilizing an extended taxonomy of cyber harms43
PIXHELL: When pixels learn to scream42
Model update for intrusion detection: Analyzing the performance of delayed labeling and active learning strategies42
VWA-6G AI assisted continuous security monitoring over open RAN service management orchestration42
Design, implementation, and automation of a risk management approach for man-at-the-End software protection42
Integrity coded databases - protecting data integrity for outsourced databases41
Cyber security and the Leviathan41
Cookie disclaimers: Dark patterns and lack of transparency41
GONE: A generic O(1) NoisE layer for protecting privacy of deep neural networ41
Unawareness detection: Discovering black-box malicious models and quantifying privacy leakage risks41
Object-free backdoor attack and defense on semantic segmentation41
Wavelet-based CSI reconstruction for improved wireless security through channel reciprocity41
NTLFlowLyzer: Towards generating an intrusion detection dataset and intruders behavior profiling through network and transport layers traffic analysis and pattern extraction40
A sequential deep learning framework for a robust and resilient network intrusion detection system40
Extending the classical side-channel analysis framework to access-driven cache attacks40
Conditional entropy-based hybrid DDoS detection model for IoT networks40
AVX-TSCHA: Leaking information through AVX extensions in commercial processors40
Which algorithm can detect unknown attacks? Comparison of supervised, unsupervised and meta-learning algorithms for intrusion detection40
BenchMFC: A benchmark dataset for trustworthy malware family classification under concept drift40
Perspectives of non-expert users on cyber security and privacy: An analysis of online discussions on twitter40
ML-based intrusion detection system for precise APT cyber-clustering40
FLADEN: Federated Learning for Anomaly DEtection in IoT Networks39
A Comprehensive Survey of Recent Internet Measurement Techniques for Cyber Security39
Insights into security and privacy towards fog computing evolution39
A new DDoS attacks intrusion detection model based on deep learning for cybersecurity39
ILL-IDS: An incremental lifetime learning IDS for VANETs39
APT beaconing detection: A systematic review39
TIMFuser: A multi-granular fusion framework for cyber threat intelligence38
Modelling language for cyber security incident handling for critical infrastructures38
ADFL: Defending backdoor attacks in federated learning via adversarial distillation38
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses38
Detection and mitigation of vampire attacks with secure routing in WSN using weighted RNN and optimal path selection38
The applicability of a hybrid framework for automated phishing detection38
Information security policies compliance in a global setting: An employee's perspective37
Multivocal literature review on zero-trust security implementation37
Adversarial training for deep learning-based cyberattack detection in IoT-based smart city applications37
“I don't get it, but I accept it” Exploring uninformed consent to privacy policies: A neutralization perspective37
Detecting command injection vulnerabilities in Linux-based embedded firmware with LLM-based taint analysis of library functions37
Malbert: A novel pre-training method for malware detection37
A hybrid deep learning framework for privacy preservation in edge computing36
Selective forwarding attack detection and network recovery mechanism based on cloud-edge cooperation in software-defined wireless sensor network36
A system to calculate Cyber Value-at-Risk36
Vulnerability detection through machine learning-based fuzzing: A systematic review36
Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security36
Adaptive sensor attack detection and defense framework for autonomous vehicles based on density36
Integrating security in hazard analysis using STPA-Sec and GSPN: A case study of automatic emergency braking system36
Dealing with uncertainty in cybersecurity decision support36
Cancelable iris template based on slicing35
Edge Implicit Weighting with graph transformers for robust intrusion detection in Internet of Things network35
SMCD: Privacy-preserving deep learning based malicious code detection35
Privacy-centered authentication: A new framework and analysis35
DMSCTS: Dynamic measurement scheme for the containers-hybrid-deployment based on trusted subsystem35
Editorial Board35
An optimized neural network for prediction of security threats on software testing34
Ibn Sina: A patient privacy‐preserving authentication protocol in medical internet of things34
Audio adversarial detection through classification score on speech recognition systems34
FELACS: Federated learning with adaptive client selection for IoT DDoS attack detection34
Binary code traceability of multigranularity information fusion from the perspective of software genes34
Corrigendum to ‘Research on Lightweight Anomaly Detection of Multimedia Traffic in Edge Computing’ Computer & Security, 111(2021) 10246334
SNDMI: Spyware network traffic detection method based on inducement operations34
Who are querying for me? Measuring the dependency and centralization in recursive resolution34
Editorial Board34
Enhancing security and robustness of Cyphal on Controller Area Network in unmanned aerial vehicle environments34
A privacy-preserving handover authentication protocol for a group of MTC devices in 5G networks34
User-centric security analysis of MitID: The Danish passwordless digital identity solution33
AdvCheck: Characterizing adversarial examples via local gradient checking33
A review on client-server attacks and defenses in federated learning33
Ensuring secure interoperation of access control in a multidomain environment33
A Proactive Approach to assess web application security through the integration of security tools in a Security Orchestration Platform33
Governing cybersecurity from the boardroom: Challenges, drivers, and ways ahead33
An automated closed-loop framework to enforce security policies from anomaly detection33
A Survey Of differential privacy-based techniques and their applicability to location-Based services33
TTSAD: TCN-Transformer-SVDD Model for Anomaly Detection in air traffic ADS-B data32
Improving adversarial robustness through a curriculum-guided reliable distillation32
CPID: Insider threat detection using profiling and cyber-persona identification32
Dynamic user-centric access control for detection of ransomware attacks32
CNN based method for the development of cyber-attacks detection algorithms in industrial control systems32
A new deep boosted CNN and ensemble learning based IoT malware detection32
Synthetic attack data generation model applying generative adversarial network for intrusion detection32
Defense against underwater spy-robots: A distributed anti-theft topology control mechanism for insecure UASN31
Enhancing can security with ML-based IDS: Strategies and efficacies against adversarial attacks31
An adaptive fuzzing method based on transformer and protocol similarity mutation31
An omnidirectional approach to touch-based continuous authentication31
Developing decision support for cybersecurity threat and incident managers31
Optimized verifiable delegated private set intersection on outsourced private datasets31
GRAIN: Graph neural network and reinforcement learning aided causality discovery for multi-step attack scenario reconstruction31
Operations-informed incident response playbooks31
Chameleon: Optimized feature selection using particle swarm optimization and ensemble methods for network anomaly detection31
Enhancing cybersecurity in cloud computing and WSNs: A hybrid IDS approach31
IoT security: On-chip secure deletion scheme using ECC modulation in IoT appliances30
BD-MDLC: Behavior description-based enhanced malware detection for windows environment using longformer classifier30
Statistical machine learning defensive mechanism against cyber intrusion in smart grid cyber-physical network30
A privacy-aware authentication and usage-controlled access protocol for IIoT decentralized data marketplace30
Privacy-preserving spatiotemporal trajectory generalization publishing scheme with differential privacy30
Evaluating fallback authentication research: A systematic literature review30
Stacking ensemble-based HIDS framework for detecting anomalous system processes in Windows based operating systems using multiple word embedding30
Accountable, Scalable and DoS-resilient Secure Vehicular Communication30
Points of the local optimal privacy utility tradeoff30
Detection of anomalies of a non-deterministic software-defined networking control30
Editorial Board30
Genetic programming for enhanced detection of Advanced Persistent Threats through feature construction30
Improving monolithic kernel security and robustness through intra-kernel sandboxing30
A Novel Password Policy Focusing on Altering User Password Selection Habits: A Statistical Analysis on Breached Data30
VulGAI: vulnerability detection based on graphs and images29
Gradient-based defense methods for data leakage in vertical federated learning29
MER-GCN: Reasoning about attacking group behaviors using industrial control system attack knowledge graphs29
Identifying information security opinion leaders in organizations: Insights from the theory of social power bases and social network analysis29
Updating Windows malware detectors: Balancing robustness and regression against adversarial EXEmples29
A login page transparency and visual similarity-based zero-day phishing defense protocol29
SVulDetector: Vulnerability detection based on similarity using tree-based attention and weighted graph embedding mechanisms29
Erasure code backup system for data security29
VERTFuzz: Version transformer-driven fuzzing for complex file parsers29
Modelling smart grid IT-OT dependencies for DDoS impact propagation29
Data reduction for black-box adversarial attacks against deep neural networks based on side-channel attacks29
Corrigendum to “Evaluation framework for quantum security risk assessment: A comprehensive strategy for quantum-safe transition” [Computers & Security, 150, 104272]29
Unveiling encrypted traffic types through hierarchical network characteristics29
Ensemble transfer attack targeting text classification systems28
Extending limited datasets with GAN-like self-supervision for SMS spam detection28
A survey on the evolution of fileless attacks and detection techniques28
RansoGuard: A RNN-based framework leveraging pre-attack sensitive APIs for early ransomware detection28
Transformer-based framework for alert aggregation and attack prediction in a multi-stage attack28
Dependable federated learning for IoT intrusion detection against poisoning attacks28
FECC: DNS tunnel detection model based on CNN and clustering28
A Comprehensive Survey for IoT Security Datasets Taxonomy, Classification and Machine Learning Mechanisms28
CDDA-MD: An efficient malicious traffic detection method based on concept drift detection and adaptation technique28
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