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Papers tagged with "Attacks"
AI Trust & Performance Evaluation Platform (AI-TPEP)
AI-TPEP (AI Trust & Performance Evaluation Platform) Is A Modular And Reproducible Framework For Comprehensive Evaluation Of Machine Learning Systems Across Key Trust Dimensions, Including Predictive Performance, Calibration, Fairness, Robu...
A MACHINE LEARNING BASED CLASSIFICATION AND PREDICTION TECHNIQUES FOR DDOS ATTACKS
Distributed Denial-of-Service (DDoS) Attacks Represent A Significant Threat In Contemporary Network Security, Compromising The Availability And Integrity Of Services Across Diverse Platforms. These Attacks Overwhelm Target Networks With Sub...
DESIGN OF VLSI-BASED HARDWARE DETECTION SYSTEM AGAINST POWER SIDE-CHANNEL ATTACKS
The Rapid Growth Of System-on-Chip (SoC) Technologies Has Increased Their Vulnerability To Advanced Physical And Power Side-channel Attacks, Which Can Compromise The Security Of Integrated Circuits. Conventional Countermeasures Often Involv...
Intelligent Network Traffic Prediction Using Graph Neural Networks
The Widespread Deployment Of Wireless Communication Technology Has Made The Wi-Fi Network More Susceptible To Sophisticated Cyber-attacks, Which Include De-authentication Attacks, Rogue Access Points, Traffic Flooding, And Protocol Misuse....
Machine Learning Approaches For Intelligent Intrusion Detection Systems In Cloud Networks
Cloud Computing Has Become A Fundamental Platform For Storing Data And Running Applications Due To Its Scalability, Flexibility, And Cost Efficiency. However, The Rapid Growth Of Cloud Environments Has Also Increased Security Threats Such A...
DDOS ATTACKS RECOGNITION AND FORECASTING USING MACHINE LEARNING ALGORITHMS
Distributed Network Disruptions, Often Termed Distributed Denial Of Service (DDoS) Attacks, Exploit Vulnerabilities In System Infrastructures, Such As Web Servers Of Legitimate Organizations. Traditional Research Has Predominantly Utilized...
A Review On Machine Learning Based Models For Identifying Potential Adversarial And Poisoning Attacks
Machine Learning (ML) Has Revolutionized Data-driven Decision-making Across Sectors Such As Healthcare, Finance, Defense, And Cybersecurity. However, As Its Influence Grows, So Does Its Vulnerability To Adversarial And Poisoning Attacks. Ad...
ENHANCING SECURE COMMUNICATION IN THE CLOUD THROUGH BLOCKCHAIN ASSISTED -CP-DABE
As Cloud Computing Becomes Increasingly Integral To Modern Data Management And Communication, Ensuring Secure And Fine-grained Access Control Remains A Pressing Challenge. This Paper Proposes A Novel Framework That Enhances Cloud Communicat...
DDOS DETECTION IN SOFTWARE DEFINED NETWORK USING FEDERATED LEARNING
Distributed Denial Of Service Attacks Have Become A Great Concern For Security In Software Defined Networking(SDN), As They Mostly Overload Centralized Security Mechanisms. In This Work, A Federated Learning-Based Intrusion Detection System...
Cyberattacks: A Persistent Threat In The Digital Era
Cyber Attacks Are Becoming An Increasingly Serious Threat In Our Digital World Affecting Everyone From Individuals To Large Companies And Even Entire Countries. This Paper Looks At The Different Types Of Cyber Attacks How They Happen, And T...
Evaluating Modern Ransomware and Effective Data Backup and Recovery Solutions
Ransomware Has Become A Severe Cyber Threat; Recent Attacks Have Been Tremendously Sophisticated And Have Shown The Potential To Encrypt Vital Data That Can Leave Organisations Crippled, Only To Be Unlocked Upon Payment Of Exorbitant Ransom...
Detecting Slow DDoS Attacks on SDN
SDN Is A Paradigm That Em- Powers Network Administrators With Unprecedented Levels Of Control, Flexibility, And Agility In The Face Of Today’s Dynamic And Data-intensive Digital Environ- Ments. The Flow Table Is A Fundamental Concept In The...
REVIEW ON CYBER ATTACKS, TOOLS AND PREVENTION MECHANISMS
In The Past Decade, Technological Advancements Such As AI, IoT, And 5G Have Led To The Development Of Numerous Digital Services. With Businesses Heavily Reliant On IT Environments And A Growing User Base, Cyber Threats Have Become A Signifi...
ROI BASED BREAST CANCER DETECTION USING DEEP LEARNING
The Network Attacks Are Increasing Both In Frequency And Intensity With The Rapid Growth Of Internet Of Things (IoT) Devices. Recently, Denial Of Service (DoS) And Distributed Denial Of Service (DDoS) Attacks Are Reported As The Most Freque...
CYBER-SECURITY THREATS AND SIDE-CHANNEL ATTACKS FOR DIGITAL AGRICULTURE
The Numerous Labor-intensive Jobs Have Been Moved Into The Digital Sector Thanks To The Development Of Intelligent Low-power Devices And Pervasive Internet Access. The Agriculture Sector Has Had To Adapt To The Digital Transformation Due To...