OOIR: Observatory of International Research

Papers

(The H4-Index of Computers & Security is 65. 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 2022-06-01 to 2026-06-01.)

Article	Citations
Editorial Board	216
VeracOS: An operating system extension for the veracity of files	167
Editorial Board	163
Reading is not believing: A multimodal adversarial attacker for Chinese-NLP model	146
DynamicFuzz: Confidence-based directed greybox fuzzing for programs with unreliable call graphs	139
Evaluating cyber attacks on central banks – identification of trends in cyber threat landscape	139
FiPiBox:Development of firewall for IoT networks using P4Pi	135
Influencing the security prioritisation of an agile software development project	131
A permission-carrying security policy and static enforcement for information flows in Android programs	129
RETRACTED: I recognize you by your steps: Privacy impact of pedometer data	129
PPT: A privacy-preserving global model training protocol for federated learning in P2P networks	125
Wasserstein distance guided feature Tokenizer transformer domain adaptation for network intrusion detection	125
Investigating machine learning attacks on financial time series models	124
BotPro: Data-driven tracking & profiling of IoT botnets in the wild	123
The Reverse File System: Towards open cost-effective secure WORM storage devices for logging	119
Navigating Cybersecurity Governance: The influence of opportunity structures in socio-technical transitions for small and medium enterprises	117
Cybersecurity optimization in supply chains under propagated cyberattacks	115
A lightweight packet forwarding verification in SDN using sketch	114
Exploring compiler optimization space for control flow obfuscation	110
Enhancing intrusion detection in containerized services: Assessing machine learning models and an advanced representation for system call data	104
An analysis of zero-trust architecture and its cost-effectiveness for organizational security	104
Learning from cyber security incidents: A systematic review and future research agenda	102
Analysis of human reliability in detecting GPS spoofing on ECDIS in congested waterways under evidential reasoning and HEART approach	100
Multivariate time series anomaly detection with variational autoencoder and spatial–temporal graph network	98
Defend against adversarial attacks in malware detection through attack space management	98

A bio-inspired optimal feature with convolutional GhostNet based squeeze excited deep-scale capsule network for intrusion detection	97
Enhancing encrypted traffic analysis via source APIs: A robust approach for malicious traffic detection	96
AIDTF: Adversarial training framework for network intrusion detection	96
Security First, Security by Design, or Security Pragmatism – Strategic Roles of IT Security in Digitalization Projects	95
Towards a metrics suite for evaluating cache side-channel vulnerability: Case studies on an open-source RISC-V processor	94
Covert timing channel detection based on isolated binary trees	93
The Security Awareness Adventure: A serious game for security awareness training utilizing a state transition system and a probabilistic model	91
Cybersecurity preparedness of small-to-medium businesses: A Western Australia study with broader implications	89
Improving transferable adversarial attack via feature-momentum	89
AttackNet: Enhancing biometric security via tailored convolutional neural network architectures for liveness detection	88
A typology of cybersecurity behavior among knowledge workers	88
MADONNA: Browser-based malicious domain detection using Optimized Neural Network by leveraging AI and feature analysis	87
A novel Evil Twin MiTM attack through 802.11v protocol exploitation	85
MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach	84
GCN-MHSA: A novel malicious traffic detection method based on graph convolutional neural network and multi-head self-attention mechanism	84
TrojanProbe: Fingerprinting Trojan tunnel implementations by actively probing crafted HTTP requests	81
Exploring capacitive swipe gesture for user authentication using a new large dataset	81
An anomaly detection model for in-vehicle networks based on lightweight convolution with spectral residuals	81
A multi-type vulnerability detection framework with parallel perspective fusion and hierarchical feature enhancement	76
New results on modeling and hybrid control for malware propagation in cyber–physical systems	76
Multidimensional categorical data collection under shuffled differential privacy	75
Multi-probability sampling-based detection of malicious switching nodes in SDN	75
Detecting DBMS bugs with context-sensitive instantiation and multi-plan execution	75
Web of shadows: Investigating malware abuse of internet services	74
NERO: NEural algorithmic reasoning for zeRO-day attack detection in the IoT: A hybrid approach	73
PVFL: Verifiable federated learning and prediction with privacy-preserving	72
Assessing information security culture: A mixed-methods approach to navigating challenges in international corporate IT departments	72
Insecure by design? A human-centric security perspective on AI-assisted software development	72
KPointer: Keep the code pointers on the stack point to the right code	71
Would US citizens accept cybersecurity deresponsibilization? Perhaps not	70
Forecasting cyber security threats landscape and associated technical trends in telehealth using Bidirectional Encoder Representations from Transformers (BERT)	70
Foggier skies, clearer clouds: A real-time IoT-DDoS attack mitigation framework in fog-assisted software-defined cyber-physical systems	69
White-box content camouflage attacks against deep learning	69
Comparative evaluation of recent universal adversarial perturbations in image classification	68
Fuzzing drones for anomaly detection: A systematic literature review	68
Robust and reusable LINDDUN privacy threat knowledge	67
Beyond the sandbox: Leveraging symbolic execution for evasive malware classification	67
Tamp-X: Attacking explainable natural language classifiers through tampered activations	66
Understanding the chief information security officer: Qualifications and responsibilities for cybersecurity leadership	66
Toward enhancing web privacy on HTTPS traffic: A novel SuperLearner attack model and an efficient defense approach with adversarial examples	65
Improving adversarial transferability through hybrid augmentation	65
Cross-site scripting detection with two-channel feature fusion embedded in self-attention mechanism	65