Buchumschlag

AssessITS: Integrating procedural guidelines and practical evaluation metrics for organizational IT and Cybersecurity risk assessment

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Rahman, Mir Mehedi, Kshetri, Naresh, Sayeed, Sayed Abu, Rana, Md Masud
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Cryptography and Security
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

FSCsec: Collaboration in Financial Sector Cybersecurity -- Exploring the Impact of Resource Sharing on IT Security
von: Sayeed, Sayed Abu, et al.
Veröffentlicht: (2024)

algoTRIC: Symmetric and asymmetric encryption algorithms for Cryptography -- A comparative analysis in AI era
von: Kshetri, Naresh, et al.
Veröffentlicht: (2024)

DefTesPY: Cyber defense model with enhanced data modeling and analysis for Tesla company via Python Language
von: Kshetri, Naresh, et al.
Veröffentlicht: (2024)

HNMblock: Blockchain technology powered Healthcare Network Model for epidemiological monitoring, medical systems security, and wellness
von: Kshetri, Naresh, et al.
Veröffentlicht: (2024)

AISCliteracy: Assessing Artificial Intelligence and Cybersecurity Literacy Levels and Learning Needs of Students
von: Chapagain, Devendra, et al.
Veröffentlicht: (2025)

nodeWSNsec: A hybrid metaheuristic approach for reliable security and node deployment in WSNs
von: Mishra, Rahul, et al.
Veröffentlicht: (2025)

blockLAW: Blockchain Technology for Legal Automation and Workflow -- Cyber Ethics and Cybersecurity Platforms
von: Pokharel, Bishwo Prakash, et al.
Veröffentlicht: (2024)

AI Agents vs. Human Investigators: Balancing Automation, Security, and Expertise in Cyber Forensic Analysis
von: Sudhakaran, Sneha, et al.
Veröffentlicht: (2026)

Explainable but Vulnerable: Adversarial Attacks on XAI Explanation in Cybersecurity Applications
von: Mia, Maraz, et al.
Veröffentlicht: (2025)

dataRLsec: Safety, Security, and Reliability With Robust Offline Reinforcement Learning for DPAs
von: Pandian, Shriram KS, et al.
Veröffentlicht: (2026)

$AutoGuardX$: A Comprehensive Cybersecurity Framework for Connected Vehicles
von: Nadeem, Muhammad Ali, et al.
Veröffentlicht: (2025)

detectGNN: Harnessing Graph Neural Networks for Enhanced Fraud Detection in Credit Card Transactions
von: Sultana, Irin, et al.
Veröffentlicht: (2025)

Fine-tuning Large Language Models for DGA and DNS Exfiltration Detection
von: Sayed, Md Abu, et al.
Veröffentlicht: (2024)

A Survey of Network Requirements for Enabling Effective Cyber Deception
von: Sayed, Md Abu, et al.
Veröffentlicht: (2023)

Coordinated Multi-Domain Deception: A Stackelberg Game Approach
von: Sayed, Md Abu, et al.
Veröffentlicht: (2026)

algoXSSF: Detection and analysis of cross-site request forgery (XSRF) and cross-site scripting (XSS) attacks via Machine learning algorithms
von: Kshetri, Naresh, et al.
Veröffentlicht: (2024)

Sentra-Guard: A Real-Time Multilingual Defense Against Adversarial LLM Prompts
von: Hasan, Md. Mehedi, et al.
Veröffentlicht: (2025)

FAARM: Firmware Attestation and Authentication Framework for Mali GPUs
von: Hasan, Md. Mehedi
Veröffentlicht: (2025)

AbuseGPT: Abuse of Generative AI ChatBots to Create Smishing Campaigns
von: Shibli, Ashfak Md, et al.
Veröffentlicht: (2024)

Assessing the Influence of Different Types of Probing on Adversarial Decision-Making in a Deception Game
von: Sayed, Md Abu, et al.
Veröffentlicht: (2023)

Taxonomy for Cybersecurity Threat Attributes and Countermeasures in Smart Manufacturing Systems
von: Rahman, Md Habibor, et al.
Veröffentlicht: (2023)

Cybersecurity and Frequent Cyber Attacks on IoT Devices in Healthcare: Issues and Solutions
von: ElSayed, Zag, et al.
Veröffentlicht: (2025)

An Efficient Anomaly Detection Framework for Wireless Sensor Networks Using Markov Process
von: Mishra, Rahul, et al.
Veröffentlicht: (2025)

SDNGuardStack: An Explainable Ensemble Learning Framework for High-Accuracy Intrusion Detection in Software-Defined Networks
von: Ashikuzzaman, et al.
Veröffentlicht: (2026)

Can Features for Phishing URL Detection Be Trusted Across Diverse Datasets? A Case Study with Explainable AI
von: Mia, Maraz, et al.
Veröffentlicht: (2024)

DSTAN-Med: Dual-Channel Spatiotemporal Attention with Physiological Plausibility Filtering for False Data Injection Attack Detection in IoT-Based Medical Devices
von: Hasan, Md Mehedi, et al.
Veröffentlicht: (2026)

A Novel Framework To Assess Cybersecurity Capability Maturity
von: Liyanage, Lasini, et al.
Veröffentlicht: (2025)

An Integrated Blockchain and IPFS Solution for Secure and Efficient Source Code Repository Hosting using Middleman Approach
von: Haque, Md. Rafid, et al.
Veröffentlicht: (2024)

Unveiling A Hidden Risk: Exposing Educational but Malicious Repositories in GitHub
von: Masud, Md Rayhanul, et al.
Veröffentlicht: (2024)

A Novel Zero-Trust Machine Learning Green Architecture for Healthcare IoT Cybersecurity: Review, Analysis, and Implementation
von: ElSayed, Zag, et al.
Veröffentlicht: (2024)

Cybersecurity in the Quantum Era: Assessing the Impact of Quantum Computing on Infrastructure
von: Baseri, Yaser, et al.
Veröffentlicht: (2024)

Assessing Cybersecurity Risks and Traffic Impact in Connected Autonomous Vehicles
von: Silwal, Saurav, et al.
Veröffentlicht: (2026)

Market-Analysis-Driven Methodology for Assessing Charging Station Cybersecurity
von: Löw, Jakob, et al.
Veröffentlicht: (2026)

Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection
von: Hossain, Md Zakir, et al.
Veröffentlicht: (2026)

Integrative Approaches in Cybersecurity and AI
von: Omar, Marwan
Veröffentlicht: (2024)

DP-SMOTE: Integrating Differential Privacy and Oversampling Technique to Preserve Privacy in Smart Homes
von: Elsayed, Amr Tarek, et al.
Veröffentlicht: (2025)

Optimizing DDoS Detection in SDNs Through Machine Learning Models
von: Haque, Md. Ehsanul, et al.
Veröffentlicht: (2025)

Cybersecurity in Transportation Systems: Policies and Technology Directions
von: Thomas, Ostonya, et al.
Veröffentlicht: (2025)

Assessing The Effectiveness Of Current Cybersecurity Regulations And Policies In The US
von: Oluomachi, Ejiofor, et al.
Veröffentlicht: (2024)

Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based Intrusion Detection
von: Mia, Maraz, et al.
Veröffentlicht: (2024)