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 2021-09-01 to 2025-09-01.)
ArticleCitations
Editorial Board227
Reviewer Acknowledgement 2021226
A bio-inspired optimal feature with convolutional GhostNet based squeeze excited deep-scale capsule network for intrusion detection192
RETRACTED: I recognize you by your steps: Privacy impact of pedometer data169
MADONNA: Browser-based malicious domain detection using Optimized Neural Network by leveraging AI and feature analysis160
Editorial Board150
Usable and secure? User perception of four authentication methods for mobile banking142
Covert timing channel detection based on isolated binary trees136
Investigating machine learning attacks on financial time series models125
Navigating Cybersecurity Governance: The influence of opportunity structures in socio-technical transitions for small and medium enterprises121
A lightweight packet forwarding verification in SDN using sketch118
A traffic anomaly detection scheme for non-directional denial of service attacks in software-defined optical network113
Multivariate time series anomaly detection with variational autoencoder and spatial–temporal graph network108
Exploring compiler optimization space for control flow obfuscation108
Enhancing encrypted traffic analysis via source APIs: A robust approach for malicious traffic detection105
The Security Awareness Adventure: A serious game for security awareness training utilizing a state transition system and a probabilistic model104
Improving transferable adversarial attack via feature-momentum103
MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach96
Defend against adversarial attacks in malware detection through attack space management96
AIDTF: Adversarial training framework for network intrusion detection96
Vulnerabilities in Android webview objects: Still not the end!95
The effectiveness of zoom touchscreen gestures for authentication and identification and its changes over time90
Towards a metrics suite for evaluating cache side-channel vulnerability: Case studies on an open-source RISC-V processor89
Reading is not believing: A multimodal adversarial attacker for Chinese-NLP model85
Security First, Security by Design, or Security Pragmatism – Strategic Roles of IT Security in Digitalization Projects83
PPT: A privacy-preserving global model training protocol for federated learning in P2P networks83
Influencing the security prioritisation of an agile software development project82
The moderating effect of abusive supervision on information security policy compliance: Evidence from the hospitality industry82
TZMon: Improving mobile game security with ARM trustzone80
An analysis of zero-trust architecture and its cost-effectiveness for organizational security79
Learning from cyber security incidents: A systematic review and future research agenda79
Enhancing intrusion detection in containerized services: Assessing machine learning models and an advanced representation for system call data78
A permission-carrying security policy and static enforcement for information flows in Android programs77
A novel Evil Twin MiTM attack through 802.11v protocol exploitation75
Cybersecurity preparedness of small-to-medium businesses: A Western Australia study with broader implications74
A systematic literature review on online assessment security: Current challenges and integrity strategies73
Analysis of human reliability in detecting GPS spoofing on ECDIS in congested waterways under evidential reasoning and HEART approach73
Don’t get stung, cover your ICS in honey: How do honeypots fit within industrial control system security69
Cloud computing security: A survey of service-based models69
GCN-MHSA: A novel malicious traffic detection method based on graph convolutional neural network and multi-head self-attention mechanism68
AttackNet: Enhancing biometric security via tailored convolutional neural network architectures for liveness detection68
On Detecting and Classifying DGA Botnets and their Families68
A typology of cybersecurity behavior among knowledge workers67
DeMal: Module decomposition of malware based on community discovery67
Formally verifying security protocols built on watermarking and jamming66
Improving transferability of adversarial examples by saliency distribution and data augmentation66
Fuzzing drones for anomaly detection: A systematic literature review66
Multi-probability sampling-based detection of malicious switching nodes in SDN65
IDPFilter: Mitigating interdependent privacy issues in third-party apps65
Would US citizens accept cybersecurity deresponsibilization? Perhaps not65
TrojanProbe: Fingerprinting Trojan tunnel implementations by actively probing crafted HTTP requests64
KPointer: Keep the code pointers on the stack point to the right code63
Study on the latent state of Kaminsky-style DNS cache poisoning: Modeling and empirical analysis63
A Privacy-Preserving Framework for Endorsement Process in Hyperledger Fabric63
Cognitively reconfigurable mimic-based heterogeneous password recovery system62
Cross-site scripting detection with two-channel feature fusion embedded in self-attention mechanism61
White-box content camouflage attacks against deep learning60
BiTCN-TAEfficientNet malware classification approach based on sequence and RGB fusion60
HT2ML: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE60
An adversarial learning framework with cross-domain loss for median filtered image restoration and anti-forensics59
Digestive neural networks: A novel defense strategy against inference attacks in federated learning59
Web of shadows: Investigating malware abuse of internet services59
NERO: NEural algorithmic reasoning for zeRO-day attack detection in the IoT: A hybrid approach59
You are your friends: Detecting malware via guilt-by-association and exempt-by-reputation58
Multidimensional categorical data collection under shuffled differential privacy58
Android malware detection via an app similarity graph58
A comprehensive deep learning benchmark for IoT IDS58
An optimized differential privacy scheme with reinforcement learning in VANET58
The meta attack language - a formal description57
GAIL-PT: An intelligent penetration testing framework with generative adversarial imitation learning56
Robust and reusable LINDDUN privacy threat knowledge55
Tamp-X: Attacking explainable natural language classifiers through tampered activations55
A Systematical and longitudinal study of evasive behaviors in windows malware54
A Differentially private hybrid decomposition algorithm based on quad-tree54
VDSimilar: Vulnerability detection based on code similarity of vulnerabilities and patches54
Toward enhancing web privacy on HTTPS traffic: A novel SuperLearner attack model and an efficient defense approach with adversarial examples53
Attack smarter: Attention-driven fine-grained webpage fingerprinting attacks53
When expectation fails and motivation prevails: the mediating role of awareness in bridging the expectancy-capability gap in mobile identity protection53
Beyond the sandbox: Leveraging symbolic execution for evasive malware classification53
Waste not: Using diverse neural networks from hyperparameter search for improved malware detection53
Understanding the chief information security officer: Qualifications and responsibilities for cybersecurity leadership53
Improving adversarial transferability through hybrid augmentation52
Examining the inconsistent effect of privacy control on privacy concerns in e-commerce services: The moderating role of privacy experience and risk propensity50
Smart homes under siege: Assessing the robustness of physical security against wireless network attacks50
Comparative evaluation of recent universal adversarial perturbations in image classification50
A multi-type vulnerability detection framework with parallel perspective fusion and hierarchical feature enhancement49
On the Effectiveness of Ransomware Decryption Tools49
Exploring capacitive swipe gesture for user authentication using a new large dataset49
An anomaly detection model for in-vehicle networks based on lightweight convolution with spectral residuals49
Assessing information security culture: A mixed-methods approach to navigating challenges in international corporate IT departments49
Adaptive edge security framework for dynamic IoT security policies in diverse environments48
: A lightweight and efficient network topology obfuscation defense scheme48
Neuronal Jamming cyberattack over invasive BCIs affecting the resolution of tasks requiring visual capabilities48
SENSE: An unsupervised semantic learning model for cross-platform vulnerability search48
Endpoint security reinforcement via integrated zero-trust systems: A collaborative approach48
PVFL: Verifiable federated learning and prediction with privacy-preserving48
A large-scale analysis of the effectiveness of publicly reported security patches48
Foggier skies, clearer clouds: A real-time IoT-DDoS attack mitigation framework in fog-assisted software-defined cyber-physical systems48
RAIDS: Robust autoencoder-based intrusion detection system model against adversarial attacks47
KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization47
Forecasting cyber security threats landscape and associated technical trends in telehealth using Bidirectional Encoder Representations from Transformers (BERT)47
Enhancing adversarial robustness for deep metric learning via neural discrete adversarial training47
Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks47
GONE: A generic O(1) NoisE layer for protecting privacy of deep neural networ46
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]46
TIMFuser: A multi-granular fusion framework for cyber threat intelligence46
Extended right-angle difference ternary co-relation pattern: A new feature descriptor for face anti-spoofing46
Using approximate matching and machine learning to uncover malicious activity in logs45
Biometric masterkeys44
A Methodology For Large-Scale Identification of Related Accounts in Underground Forums44
FLADEN: Federated Learning for Anomaly DEtection in IoT Networks44
XLMR4MD: New Vietnamese dataset and framework for detecting the consistency of description and permission in Android applications using large language models44
FE-DaST: Fast and effective data-free substitute training for black-box adversarial attacks44
Personal CAPTCHA-based authentication protocol43
Conditional entropy-based hybrid DDoS detection model for IoT networks43
Dealing with uncertainty in cybersecurity decision support43
A classification-by-retrieval framework for few-shot anomaly detection to detect API injection43
BenchMFC: A benchmark dataset for trustworthy malware family classification under concept drift42
Editorial Board42
Object-free backdoor attack and defense on semantic segmentation42
Navigating challenging terrain surrounding DoD response to homeland attacks on critical infrastructure: Case studies of prior incidents utilizing an extended taxonomy of cyber harms42
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses41
Cyber security and the Leviathan41
Avaddon ransomware: An in-depth analysis and decryption of infected systems41
Model update for intrusion detection: Analyzing the performance of delayed labeling and active learning strategies41
Insights into security and privacy towards fog computing evolution41
A hybrid deep learning framework for privacy preservation in edge computing40
Assessing the impact of packing on static machine learning-based malware detection and classification systems40
Selective forwarding attack detection and network recovery mechanism based on cloud-edge cooperation in software-defined wireless sensor network40
Integrity coded databases - protecting data integrity for outsourced databases40
An efficient two-stage pipeline model with filtering algorithm for mislabeled malware detection40
Vulnerability detection through machine learning-based fuzzing: A systematic review40
A multi-source log semantic analysis-based attack investigation approach39
Unawareness detection: Discovering black-box malicious models and quantifying privacy leakage risks39
Information security policies compliance in a global setting: An employee's perspective38
Extending the classical side-channel analysis framework to access-driven cache attacks38
Integrating security in hazard analysis using STPA-Sec and GSPN: A case study of automatic emergency braking system38
NTLFlowLyzer: Towards generating an intrusion detection dataset and intruders behavior profiling through network and transport layers traffic analysis and pattern extraction38
Add noise to remove noise: Local differential privacy for feature selection38
Modelling language for cyber security incident handling for critical infrastructures38
A critical survey of the security and privacy aspects of the Aadhaar framework38
An empirical study of vulnerability discovery methods over the past ten years38
The applicability of a hybrid framework for automated phishing detection38
Multivocal literature review on zero-trust security implementation38
A sequential deep learning framework for a robust and resilient network intrusion detection system37
Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security37
Detection and mitigation of vampire attacks with secure routing in WSN using weighted RNN and optimal path selection37
Adversarial training for deep learning-based cyberattack detection in IoT-based smart city applications37
Design, implementation, and automation of a risk management approach for man-at-the-End software protection37
ML-based intrusion detection system for precise APT cyber-clustering37
Malbert: A novel pre-training method for malware detection36
Hardening machine learning denial of service (DoS) defences against adversarial attacks in IoT smart home networks36
ILL-IDS: An incremental lifetime learning IDS for VANETs36
A new DDoS attacks intrusion detection model based on deep learning for cybersecurity36
AVX-TSCHA: Leaking information through AVX extensions in commercial processors36
A system to calculate Cyber Value-at-Risk36
Cookie disclaimers: Dark patterns and lack of transparency36
Wavelet-based CSI reconstruction for improved wireless security through channel reciprocity36
Which algorithm can detect unknown attacks? Comparison of supervised, unsupervised and meta-learning algorithms for intrusion detection35
ADFL: Defending backdoor attacks in federated learning via adversarial distillation35
Perspectives of non-expert users on cyber security and privacy: An analysis of online discussions on twitter35
A Comprehensive Survey of Recent Internet Measurement Techniques for Cyber Security35
“I don't get it, but I accept it” Exploring uninformed consent to privacy policies: A neutralization perspective35
Detecting command injection vulnerabilities in Linux-based embedded firmware with LLM-based taint analysis of library functions35
APT beaconing detection: A systematic review35
Editorial Board34
Binary code traceability of multigranularity information fusion from the perspective of software genes34
DMSCTS: Dynamic measurement scheme for the containers-hybrid-deployment based on trusted subsystem34
Editorial Board34
Adaptive sensor attack detection and defense framework for autonomous vehicles based on density34
Corrigendum to ‘Research on Lightweight Anomaly Detection of Multimedia Traffic in Edge Computing’ Computer & Security, 111(2021) 10246333
Ensuring secure interoperation of access control in a multidomain environment33
Enhancing security and robustness of Cyphal on Controller Area Network in unmanned aerial vehicle environments33
Privacy-centered authentication: A new framework and analysis33
An automated closed-loop framework to enforce security policies from anomaly detection33
An adaptive fuzzing method based on transformer and protocol similarity mutation33
SMCD: Privacy-preserving deep learning based malicious code detection33
AdvCheck: Characterizing adversarial examples via local gradient checking33
Improving adversarial robustness through a curriculum-guided reliable distillation33
Cancelable iris template based on slicing33
Dynamic user-centric access control for detection of ransomware attacks32
Defense against underwater spy-robots: A distributed anti-theft topology control mechanism for insecure UASN32
A privacy-preserving handover authentication protocol for a group of MTC devices in 5G networks32
A Proactive Approach to assess web application security through the integration of security tools in a Security Orchestration Platform32
Who are querying for me? Measuring the dependency and centralization in recursive resolution32
Ibn Sina: A patient privacy‐preserving authentication protocol in medical internet of things32
Enhancing can security with ML-based IDS: Strategies and efficacies against adversarial attacks32
SNDMI: Spyware network traffic detection method based on inducement operations31
Audio adversarial detection through classification score on speech recognition systems31
Edge Implicit Weighting with graph transformers for robust intrusion detection in Internet of Things network31
CPID: Insider threat detection using profiling and cyber-persona identification31
Enhancing cybersecurity in cloud computing and WSNs: A hybrid IDS approach31
User-centric security analysis of MitID: The Danish passwordless digital identity solution31
Chameleon: Optimized feature selection using particle swarm optimization and ensemble methods for network anomaly detection31
A security type verifier for smart contracts31
An optimized neural network for prediction of security threats on software testing31
A review on client-server attacks and defenses in federated learning31
GRAIN: Graph neural network and reinforcement learning aided causality discovery for multi-step attack scenario reconstruction31
TTSAD: TCN-Transformer-SVDD Model for Anomaly Detection in air traffic ADS-B data31
A Survey Of differential privacy-based techniques and their applicability to location-Based services31
Operations-informed incident response playbooks31
IoT security: On-chip secure deletion scheme using ECC modulation in IoT appliances30
A new deep boosted CNN and ensemble learning based IoT malware detection30
Optimized verifiable delegated private set intersection on outsourced private datasets30
Editorial Board30
Evaluating fallback authentication research: A systematic literature review30
CNN based method for the development of cyber-attacks detection algorithms in industrial control systems30
Developing decision support for cybersecurity threat and incident managers30
A Field-Sensitive Security Monitor for Object-Oriented Programs30
Synthetic attack data generation model applying generative adversarial network for intrusion detection30
Governing cybersecurity from the boardroom: Challenges, drivers, and ways ahead30
Stock market reactions to favorable and unfavorable information security events: A systematic literature review30
FELACS: Federated learning with adaptive client selection for IoT DDoS attack detection30
GSEDroid: GNN-based Android malware detection framework using lightweight semantic embedding29
Ensemble transfer attack targeting text classification systems29
Identifying information security opinion leaders in organizations: Insights from the theory of social power bases and social network analysis29
Stacking ensemble-based HIDS framework for detecting anomalous system processes in Windows based operating systems using multiple word embedding29
Time for De-cluttering: Digital clutter scaling for individuals and enterprises29
Erasure code backup system for data security29
Unveiling encrypted traffic types through hierarchical network characteristics29
Modelling smart grid IT-OT dependencies for DDoS impact propagation29
Reducing false positives in bank anti-fraud systems based on rule induction in distributed tree-based models29
Extending limited datasets with GAN-like self-supervision for SMS spam detection29
Accountable, Scalable and DoS-resilient Secure Vehicular Communication28
Privacy-preserving spatiotemporal trajectory generalization publishing scheme with differential privacy28
Improving monolithic kernel security and robustness through intra-kernel sandboxing28
A systematic survey on physical layer security oriented to reconfigurable intelligent surface empowered 6G28
A privacy-aware authentication and usage-controlled access protocol for IIoT decentralized data marketplace28
Know your enemy: Conversational agents for security, education, training, and awareness at scale28
"No point worrying" – The role of threat devaluation in information security behavior28
FECC: DNS tunnel detection model based on CNN and clustering28
BD-MDLC: Behavior description-based enhanced malware detection for windows environment using longformer classifier28
Transformer-based framework for alert aggregation and attack prediction in a multi-stage attack28
Detection of anomalies of a non-deterministic software-defined networking control27
Hilbert signal envelope-based multi-features methods for GNSS spoofing detection27
BinVulDet: Detecting vulnerability in binary program via decompiled pseudo code and BiLSTM-attention27
A cognitive security framework for detecting intrusions in IoT and 5G utilizing deep learning27
Data reduction for black-box adversarial attacks against deep neural networks based on side-channel attacks27
SVulDetector: Vulnerability detection based on similarity using tree-based attention and weighted graph embedding mechanisms27
A Comprehensive Survey for IoT Security Datasets Taxonomy, Classification and Machine Learning Mechanisms27
Gradient-based defense methods for data leakage in vertical federated learning27
A Novel Password Policy Focusing on Altering User Password Selection Habits: A Statistical Analysis on Breached Data27
An omnidirectional approach to touch-based continuous authentication27
MUD-PQFed: Towards Malicious User Detection on model corruption in Privacy-preserving Quantized Federated learning27
NIDS-Vis: Improving the generalized adversarial robustness of network intrusion detection system27
Fast and practical intrusion detection system based on federated learning for VANET27
ZKSA: Secure mutual Attestation against TOCTOU Zero-knowledge Proof based for IoT Devices27
AECR: Automatic attack technique intelligence extraction based on fine-tuned large language model27
Updating Windows malware detectors: Balancing robustness and regression against adversarial EXEmples27
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