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 2021-06-01 to 2025-06-01.)
ArticleCitations
Editorial Board377
Reviewer Acknowledgement 2021200
A bio-inspired optimal feature with convolutional GhostNet based squeeze excited deep-scale capsule network for intrusion detection198
MADONNA: Browser-based malicious domain detection using Optimized Neural Network by leveraging AI and feature analysis165
Editorial Board147
AttackNet: Enhancing biometric security via tailored convolutional neural network architectures for liveness detection144
A lightweight packet forwarding verification in SDN using sketch141
Improving transferable adversarial attack via feature-momentum134
Analysis of human reliability in detecting GPS spoofing on ECDIS in congested waterways under evidential reasoning and HEART approach134
The moderating effect of abusive supervision on information security policy compliance: Evidence from the hospitality industry131
Don’t get stung, cover your ICS in honey: How do honeypots fit within industrial control system security125
A traffic anomaly detection scheme for non-directional denial of service attacks in software-defined optical network121
Cybersecurity preparedness of small-to-medium businesses: A Western Australia study with broader implications115
Learning from cyber security incidents: A systematic review and future research agenda115
Defend against adversarial attacks in malware detection through attack space management108
MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach105
Vulnerabilities in Android webview objects: Still not the end!99
TZMon: Improving mobile game security with ARM trustzone98
Investigating machine learning attacks on financial time series models98
The effectiveness of zoom touchscreen gestures for authentication and identification and its changes over time95
A novel Evil Twin MiTM attack through 802.11v protocol exploitation95
Towards a metrics suite for evaluating cache side-channel vulnerability: Case studies on an open-source RISC-V processor92
A typology of cybersecurity behavior among knowledge workers91
Exploring compiler optimization space for control flow obfuscation86
Navigating Cybersecurity Governance: The influence of opportunity structures in socio-technical transitions for small and medium enterprises83
Reading is not believing: A multimodal adversarial attacker for Chinese-NLP model81
A systematic literature review on online assessment security: Current challenges and integrity strategies77
A permission-carrying security policy and static enforcement for information flows in Android programs77
Security First, Security by Design, or Security Pragmatism – Strategic Roles of IT Security in Digitalization Projects74
Usable and secure? User perception of four authentication methods for mobile banking72
Cloud computing security: A survey of service-based models72
On Detecting and Classifying DGA Botnets and their Families71
GCN-MHSA: A novel malicious traffic detection method based on graph convolutional neural network and multi-head self-attention mechanism71
PPT: A privacy-preserving global model training protocol for federated learning in P2P networks70
Covert timing channel detection based on isolated binary trees70
AIDTF: Adversarial training framework for network intrusion detection68
An analysis of zero-trust architecture and its cost-effectiveness for organizational security67
Multivariate time series anomaly detection with variational autoencoder and spatial–temporal graph network66
AutoVAS: An automated vulnerability analysis system with a deep learning approach66
Influencing the security prioritisation of an agile software development project65
RETRACTED: I recognize you by your steps: Privacy impact of pedometer data65
DeMal: Module decomposition of malware based on community discovery64
Understanding the chief information security officer: Qualifications and responsibilities for cybersecurity leadership64
Comparative evaluation of recent universal adversarial perturbations in image classification63
Fuzzing drones for anomaly detection: A systematic literature review63
Improving transferability of adversarial examples by saliency distribution and data augmentation62
White-box content camouflage attacks against deep learning62
Would US citizens accept cybersecurity deresponsibilization? Perhaps not61
Web of shadows: Investigating malware abuse of internet services61
Formally verifying security protocols built on watermarking and jamming61
Enhancing adversarial robustness for deep metric learning via neural discrete adversarial training61
: A lightweight and efficient network topology obfuscation defense scheme60
Multidimensional categorical data collection under shuffled differential privacy60
IDPFilter: Mitigating interdependent privacy issues in third-party apps59
Multi-probability sampling-based detection of malicious switching nodes in SDN58
HT2ML: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE58
When expectation fails and motivation prevails: the mediating role of awareness in bridging the expectancy-capability gap in mobile identity protection57
TrojanProbe: Fingerprinting Trojan tunnel implementations by actively probing crafted HTTP requests57
Examining the inconsistent effect of privacy control on privacy concerns in e-commerce services: The moderating role of privacy experience and risk propensity57
Improving adversarial transferability through hybrid augmentation56
Study on the latent state of Kaminsky-style DNS cache poisoning: Modeling and empirical analysis54
Cognitively reconfigurable mimic-based heterogeneous password recovery system54
KPointer: Keep the code pointers on the stack point to the right code54
On the Effectiveness of Ransomware Decryption Tools54
KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization54
A Privacy-Preserving Framework for Endorsement Process in Hyperledger Fabric54
Neuronal Jamming cyberattack over invasive BCIs affecting the resolution of tasks requiring visual capabilities53
A Differentially private hybrid decomposition algorithm based on quad-tree52
SENSE: An unsupervised semantic learning model for cross-platform vulnerability search52
Assessing information security culture: A mixed-methods approach to navigating challenges in international corporate IT departments52
You are your friends: Detecting malware via guilt-by-association and exempt-by-reputation52
Smart homes under siege: Assessing the robustness of physical security against wireless network attacks52
NERO: NEural algorithmic reasoning for zeRO-day attack detection in the IoT: A hybrid approach52
A large-scale analysis of the effectiveness of publicly reported security patches51
Cross-site scripting detection with two-channel feature fusion embedded in self-attention mechanism51
The meta attack language - a formal description51
Extended right-angle difference ternary co-relation pattern: A new feature descriptor for face anti-spoofing51
An adversarial learning framework with cross-domain loss for median filtered image restoration and anti-forensics51
A multi-type vulnerability detection framework with parallel perspective fusion and hierarchical feature enhancement50
An anomaly detection model for in-vehicle networks based on lightweight convolution with spectral residuals50
An optimized differential privacy scheme with reinforcement learning in VANET50
Foggier skies, clearer clouds: A real-time IoT-DDoS attack mitigation framework in fog-assisted software-defined cyber-physical systems49
A Systematical and longitudinal study of evasive behaviors in windows malware48
GAIL-PT: An intelligent penetration testing framework with generative adversarial imitation learning48
Waste not: Using diverse neural networks from hyperparameter search for improved malware detection48
Digestive neural networks: A novel defense strategy against inference attacks in federated learning47
Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks47
A comprehensive deep learning benchmark for IoT IDS46
VDSimilar: Vulnerability detection based on code similarity of vulnerabilities and patches46
PVFL: Verifiable federated learning and prediction with privacy-preserving46
Android malware detection via an app similarity graph46
RAIDS: Robust autoencoder-based intrusion detection system model against adversarial attacks45
Adaptive edge security framework for dynamic IoT security policies in diverse environments45
Forecasting cyber security threats landscape and associated technical trends in telehealth using Bidirectional Encoder Representations from Transformers (BERT)44
Tamp-X: Attacking explainable natural language classifiers through tampered activations44
Toward enhancing web privacy on HTTPS traffic: A novel SuperLearner attack model and an efficient defense approach with adversarial examples44
Endpoint security reinforcement via integrated zero-trust systems: A collaborative approach44
BiTCN-TAEfficientNet malware classification approach based on sequence and RGB fusion44
FineGCP: Fine-grained dependency graph community partitioning for attack investigation43
A Comprehensive Survey of Recent Internet Measurement Techniques for Cyber Security43
An empirical study of vulnerability discovery methods over the past ten years43
Using approximate matching and machine learning to uncover malicious activity in logs43
XLMR4MD: New Vietnamese dataset and framework for detecting the consistency of description and permission in Android applications using large language models43
Biometric masterkeys43
Erratum to ‘Ensemble transfer attack targeting text classification systems’ [Computers & Security 117 (2022) 1–8/ 102695]43
Beyond the sandbox: Leveraging symbolic execution for evasive malware classification43
BenchMFC: A benchmark dataset for trustworthy malware family classification under concept drift43
FE-DaST: Fast and effective data-free substitute training for black-box adversarial attacks43
ADFL: Defending backdoor attacks in federated learning via adversarial distillation42
Modelling language for cyber security incident handling for critical infrastructures42
GONE: A generic O(1) NoisE layer for protecting privacy of deep neural networ42
Add noise to remove noise: Local differential privacy for feature selection41
AVX-TSCHA: Leaking information through AVX extensions in commercial processors41
The applicability of a hybrid framework for automated phishing detection41
Extending the classical side-channel analysis framework to access-driven cache attacks41
Cookie disclaimers: Dark patterns and lack of transparency41
Dealing with uncertainty in cybersecurity decision support40
Avaddon ransomware: An in-depth analysis and decryption of infected systems40
A classification-by-retrieval framework for few-shot anomaly detection to detect API injection40
ML-based intrusion detection system for precise APT cyber-clustering40
A Methodology For Large-Scale Identification of Related Accounts in Underground Forums40
Cyber security and the Leviathan40
Personal CAPTCHA-based authentication protocol40
Model update for intrusion detection: Analyzing the performance of delayed labeling and active learning strategies40
Navigating challenging terrain surrounding DoD response to homeland attacks on critical infrastructure: Case studies of prior incidents utilizing an extended taxonomy of cyber harms39
TIMFuser: A multi-granular fusion framework for cyber threat intelligence39
Conditional entropy-based hybrid DDoS detection model for IoT networks39
A multi-source log semantic analysis-based attack investigation approach39
A system to calculate Cyber Value-at-Risk39
Editorial Board38
Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security38
Unawareness detection: Discovering black-box malicious models and quantifying privacy leakage risks38
“I don't get it, but I accept it” Exploring uninformed consent to privacy policies: A neutralization perspective38
n-HTLC: Neo hashed time-Lock commitment to defend against wormhole attack in payment channel netwo37
Information security policies compliance in a global setting: An employee's perspective37
A critical survey of the security and privacy aspects of the Aadhaar framework37
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses37
Integrating security in hazard analysis using STPA-Sec and GSPN: A case study of automatic emergency braking system36
Detection and mitigation of vampire attacks with secure routing in WSN using weighted RNN and optimal path selection36
Object-free backdoor attack and defense on semantic segmentation36
Design, implementation, and automation of a risk management approach for man-at-the-End software protection36
Redefining threat appraisals of organizational insiders and exploring the moderating role of fear in cyberattack protection motivation35
Selective forwarding attack detection and network recovery mechanism based on cloud-edge cooperation in software-defined wireless sensor network35
An efficient two-stage pipeline model with filtering algorithm for mislabeled malware detection35
A hybrid deep learning framework for privacy preservation in edge computing35
Adversarial training for deep learning-based cyberattack detection in IoT-based smart city applications35
Integrity coded databases - protecting data integrity for outsourced databases34
Detecting command injection vulnerabilities in Linux-based embedded firmware with LLM-based taint analysis of library functions34
Perspectives of non-expert users on cyber security and privacy: An analysis of online discussions on twitter34
NTLFlowLyzer: Towards generating an intrusion detection dataset and intruders behavior profiling through network and transport layers traffic analysis and pattern extraction34
Which algorithm can detect unknown attacks? Comparison of supervised, unsupervised and meta-learning algorithms for intrusion detection34
Insights into security and privacy towards fog computing evolution34
Vulnerability detection through machine learning-based fuzzing: A systematic review33
Multivocal literature review on zero-trust security implementation33
Hardening machine learning denial of service (DoS) defences against adversarial attacks in IoT smart home networks33
A sequential deep learning framework for a robust and resilient network intrusion detection system33
Malbert: A novel pre-training method for malware detection33
APT beaconing detection: A systematic review33
ILL-IDS: An incremental lifetime learning IDS for VANETs33
A new DDoS attacks intrusion detection model based on deep learning for cybersecurity33
A privacy-preserving handover authentication protocol for a group of MTC devices in 5G networks33
Editorial Board32
Binary code traceability of multigranularity information fusion from the perspective of software genes32
DMSCTS: Dynamic measurement scheme for the containers-hybrid-deployment based on trusted subsystem32
Adaptive sensor attack detection and defense framework for autonomous vehicles based on density32
SMCD: Privacy-preserving deep learning based malicious code detection31
Optimized verifiable delegated private set intersection on outsourced private datasets31
Editorial Board31
Corrigendum to ‘Research on Lightweight Anomaly Detection of Multimedia Traffic in Edge Computing’ Computer & Security, 111(2021) 10246331
A robust privacy preserving approach for electronic health records using multiple dataset with multiple sensitive attributes31
Edge Implicit Weighting with graph transformers for robust intrusion detection in Internet of Things network31
Maladaptive behaviour in response to email phishing threats: The roles of rewards and response costs31
Cancelable iris template based on slicing31
Stock market reactions to favorable and unfavorable information security events: A systematic literature review30
Defense against underwater spy-robots: A distributed anti-theft topology control mechanism for insecure UASN30
Enhancing can security with ML-based IDS: Strategies and efficacies against adversarial attacks30
A security type verifier for smart contracts30
Operations-informed incident response playbooks30
Enhancing cybersecurity in cloud computing and WSNs: A hybrid IDS approach30
An optimized neural network for prediction of security threats on software testing30
Indicators for maturity and readiness for digital forensic investigation in era of industrial revolution 4.030
TTSAD: TCN-Transformer-SVDD Model for Anomaly Detection in air traffic ADS-B data30
Privacy-centered authentication: A new framework and analysis29
Ibn Sina: A patient privacy‐preserving authentication protocol in medical internet of things29
Improving adversarial robustness through a curriculum-guided reliable distillation29
A new deep boosted CNN and ensemble learning based IoT malware detection29
Enhancing security and robustness of Cyphal on Controller Area Network in unmanned aerial vehicle environments29
An automated closed-loop framework to enforce security policies from anomaly detection29
A Survey Of differential privacy-based techniques and their applicability to location-Based services29
Developing decision support for cybersecurity threat and incident managers29
Dynamic user-centric access control for detection of ransomware attacks29
Ensuring secure interoperation of access control in a multidomain environment29
AdvCheck: Characterizing adversarial examples via local gradient checking29
User-centric security analysis of MitID: The Danish passwordless digital identity solution29
A Proactive Approach to assess web application security through the integration of security tools in a Security Orchestration Platform29
SVulDetector: Vulnerability detection based on similarity using tree-based attention and weighted graph embedding mechanisms28
A review on client-server attacks and defenses in federated learning28
Audio adversarial detection through classification score on speech recognition systems28
CNN based method for the development of cyber-attacks detection algorithms in industrial control systems28
Synthetic attack data generation model applying generative adversarial network for intrusion detection28
A Field-Sensitive Security Monitor for Object-Oriented Programs28
Governing cybersecurity from the boardroom: Challenges, drivers, and ways ahead28
SNDMI: Spyware network traffic detection method based on inducement operations28
Data integrity auditing for secure cloud storage using user behavior prediction28
Editorial Board28
GRAIN: Graph neural network and reinforcement learning aided causality discovery for multi-step attack scenario reconstruction28
An adaptive fuzzing method based on transformer and protocol similarity mutation28
CPID: Insider threat detection using profiling and cyber-persona identification28
Chameleon: Optimized feature selection using particle swarm optimization and ensemble methods for network anomaly detection28
A Novel Password Policy Focusing on Altering User Password Selection Habits: A Statistical Analysis on Breached Data27
Evaluating fallback authentication research: A systematic literature review27
Hilbert signal envelope-based multi-features methods for GNSS spoofing detection27
RansoGuard: A RNN-based framework leveraging pre-attack sensitive APIs for early ransomware detection27
Weighted distributed differential privacy ERM: Convex and non-convex27
Data reduction for black-box adversarial attacks against deep neural networks based on side-channel attacks27
Erasure code backup system for data security27
Genetic programming for enhanced detection of Advanced Persistent Threats through feature construction27
ZKSA: Secure mutual Attestation against TOCTOU Zero-knowledge Proof based for IoT Devices27
IoT security: On-chip secure deletion scheme using ECC modulation in IoT appliances27
DeepStream: Autoencoder-based stream temporal clustering and anomaly detection27
Modelling smart grid IT-OT dependencies for DDoS impact propagation26
Reducing false positives in bank anti-fraud systems based on rule induction in distributed tree-based models26
Know your enemy: Conversational agents for security, education, training, and awareness at scale26
A systematic survey on physical layer security oriented to reconfigurable intelligent surface empowered 6G26
Ensemble transfer attack targeting text classification systems26
Unveiling encrypted traffic types through hierarchical network characteristics26
Extending limited datasets with GAN-like self-supervision for SMS spam detection26
Identifying information security opinion leaders in organizations: Insights from the theory of social power bases and social network analysis26
Improving monolithic kernel security and robustness through intra-kernel sandboxing26
Stacking ensemble-based HIDS framework for detecting anomalous system processes in Windows based operating systems using multiple word embedding26
A privacy-aware authentication and usage-controlled access protocol for IIoT decentralized data marketplace25
MUD-PQFed: Towards Malicious User Detection on model corruption in Privacy-preserving Quantized Federated learning25
A Comprehensive Survey for IoT Security Datasets Taxonomy, Classification and Machine Learning Mechanisms25
CDDA-MD: An efficient malicious traffic detection method based on concept drift detection and adaptation technique25
"No point worrying" – The role of threat devaluation in information security behavior25
AECR: Automatic attack technique intelligence extraction based on fine-tuned large language model25
Agriculture 4.0 and beyond: Evaluating cyber threat intelligence sources and techniques in smart farming ecosystems25
BD-MDLC: Behavior description-based enhanced malware detection for windows environment using longformer classifier25
Gradient-based defense methods for data leakage in vertical federated learning25
An omnidirectional approach to touch-based continuous authentication25
Survivable zero trust for cloud computing environments24
BinVulDet: Detecting vulnerability in binary program via decompiled pseudo code and BiLSTM-attention24
Transformer-based framework for alert aggregation and attack prediction in a multi-stage attack24
FECC: DNS tunnel detection model based on CNN and clustering24
Automated city shuttles: Mapping the key challenges in cybersecurity, privacy and standards to future developments24
NIDS-Vis: Improving the generalized adversarial robustness of network intrusion detection system24
FS-IDS: A framework for intrusion detection based on few-shot learning24
VulGAI: vulnerability detection based on graphs and images24
Network intrusion detection based on n-gram frequency and time-aware transformer24
Statistical machine learning defensive mechanism against cyber intrusion in smart grid cyber-physical network24
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