Research

Znacznik: to-read

Elementów z tym znacznikiem: 257.

29 maj 2026
index
- to-read
- reference
01 sty 2026
Function Profiling and Runtime Environments for Energy Aware Deployments
01 sty 2026
ENERGY- AND LATENCY-AWARE OPTIMIZATION OF SERVERLESS PLATFORMS USING REINFORCEMENT LEARNING
01 sty 2026
Research on a Lightweight Full-Stack Edge Execution Optimization Framework Based on Serverless and WebAssembly
01 sty 2026
LowCarb: Carbon-Aware Scheduling of Serverless Functions
01 sty 2026
MULTI-CLOUD SERVERLESS APPLICATION ENERGY-AWARE SCHEDULING
01 sty 2026
Green or Fast? Learning to Balance Cold Starts and Idle Carbon in Serverless Computing
01 sty 2026
ENERGY AND LATENCY AWARE RESOURCE MANAGEMENT IN EDGE FAAS PLATFORMS
01 sty 2026
WebAssembly as a Lightweight Path to Sustainable and High-Performance Cloud-Native Computing
01 sty 2025
Reducing Environmental Impact with Sustainable Serverless Computing
01 sty 2025
Unleashing the Potential of WebAssembly in Next-Generation Serverless Computing
01 sty 2025
Estimating the Carbon Footprint of Serverless Functions on a Public Cloud Platform
01 sty 2025
3GC: A Deadline-Aware and Energy-Efficient Resource Allocation Scheme for Serverless Edge Computing
01 sty 2025
EFaaS: Energy-efficient Function Orchestration in Serverless Edge Computing
01 sty 2025
Machine Learning for Early Detection of Phishing URLs in Parked Domains: An Approach Applied to a Financial Institution
01 sty 2025
Towards Sustainable Machine Learning with Serverless at the Edge
01 sty 2025
Energy Efficient Low Latency Event Pipelines: A Study of Green Computing Practices in Serverless Architectures
01 sty 2025
Understanding the Efficacy of Phishing Training in Practice
01 sty 2025
Phish-Blitz: Advancing Phishing Detection with Comprehensive Webpage Resource Collection and Visual Integrity Preservation
01 sty 2025
Can Large Language Models Detect Phishing Attacks?
01 sty 2025
Serverless Cold Starts and Where to Find Them
01 sty 2025
HybridServe: Adaptive WebAssembly-Container Runtime Selection for Edge Serverless Computing
01 sty 2025
Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques
01 sty 2025
A Study of Effectiveness of Brand Domain Identification Features for Phishing Detection
01 sty 2025
GuardReasoner: Towards Reasoning-Based LLM Safeguards
01 sty 2025
Research on a Lightweight Full-Stack Edge Execution Optimization Framework Based on Serverless and WebAssembly
01 sty 2025
Energy-Efficient Serverless Computing in Cloud Architecture
01 sty 2025
Integrating energy consumption in the development of serverless applications
01 sty 2025
Do We Really Need Reference-Based Phishing Detectors? A GNN-Based Approach via DOM Tree Hierarchy
01 sty 2025
Code once, Run Green: Automated Green Code Translation in Serverless Computing
01 sty 2025
A Comprehensive Experimentation Framework for Energy-Efficient Design of Cloud-Native Applications
01 sty 2025
Does Energy-efficiency Mean Carbon-awareness? A Critical Evaluation of Sustainable Serverless Edge Scheduling
01 sty 2024
BERT-Based Phishing Detection Enhanced with Low-Rank Adaptation
01 sty 2024
Faashouse: Sustainable Serverless Edge Computing Through Energy-Aware Resource Scheduling
01 sty 2024
Tactics for software energy efficiency: A review
01 sty 2024
Informed and assessable observability design decisions in cloud-native microservice applications
01 sty 2024
Towards Energy-Aware Execution and Offloading of Serverless Functions
01 sty 2024
Impact of power consumption in containerized clouds: A comprehensive analysis of open-source power measurement tools
01 sty 2024
DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection
01 sty 2024
Experimental evaluation of energy efficiency tactics in industry: Results and lessons learned
01 sty 2024
Experimental evaluation of possible feature combinations for the detection of fraudulent online shops
- to-read
- reference
01 sty 2024
Containerized Serverless Architectures: Balancing Energy Consumption and Low Latency
01 sty 2024
Evaluating the Effectiveness and Robustness of Visual Similarity-based Phishing Detection Models
01 sty 2024
EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing
01 sty 2024
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
01 sty 2024
Hybrid optimization enabled squeeze net for phishing attack detection
- to-read
- reference
01 sty 2024
From ML to LLM: Evaluating the Robustness of Phishing Webpage Detection Models against Adversarial Attacks
01 sty 2024
Content, Nudges and Incentives: A Study on the Effectiveness and Perception of Embedded Phishing Training
01 sty 2024
Multimodal Large Language Models for Phishing Webpage Detection and Identification
01 sty 2024
KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
01 sty 2024
Bridging the Sustainability Gap in Serverless through Observability and Carbon-Aware Pricing
01 sty 2024
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
01 sty 2024
Automatic phishing website detection and prevention
- to-read
- reference
01 sty 2024
Towards multi-class smishing detection: A novel feature vector approach and the smish ing-4c dataset
- to-read
- reference
01 sty 2024
Parameter-Efficient Fine-Tuning for Phishing Detection via Low-Rank Adaptation
01 sty 2024
Think Globally, React Locally: Bringing Real-time Reference-based Website Phishing Detection on macOS
01 sty 2024
A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management
01 sty 2024
FaasMeter: Energy-First Serverless Computing
01 sty 2024
The Hidden Carbon Footprint of Serverless Computing
01 sty 2024
GreenWhisk: Emission-Aware Computing for Serverless Platform
01 sty 2024
Accountable Carbon Footprints and Energy Profiling For Serverless Functions
01 sty 2024
EcoFaaS: Rethinking the Design of Serverless Environments for Energy Efficiency
01 sty 2024
EcoFaaS: Rethinking the Design of Serverless Environments for Energy Efficiency
01 sty 2024
CASA: A Framework for SLO and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing
01 sty 2024
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
01 sty 2024
Energy Efficient Scheduling for Serverless Systems
01 sty 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
01 sty 2024
Deep Learning Approaches for Phishing Detection: A Comprehensive Analysis
01 sty 2024
"Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages
01 sty 2024
PMP: Partitioning Message Passing for Graph Fraud Detection
01 sty 2024
OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud
01 sty 2023
Kepler: A Framework to Calculate the Energy Consumption of Containerized Applications
01 sty 2023
Beyond phish: Toward detecting fraudulent e-commerce websites at scale
01 sty 2023
Phikita: Phishing kit attacks
- to-read
- reference
01 sty 2023
Classifying spam emails using agglomerative hierarchical clustering and atopic-based approach
- to-read
- reference
01 sty 2023
NIST Phish Scale User Guide
01 sty 2023
An empirical evaluation of the energy and performance overhead of monitoring tools on docker-based systems
01 sty 2023
An evaluation of service mesh frameworks for edge systems
01 sty 2023
Iluvatar: A fast control plane for serverless computing
01 sty 2023
Autoscaling in Serverless Computing : Taxonomy and OpenChallenges
01 sty 2023
An experimental comparison of software-based power meters: focus on CPU and GPU
01 sty 2023
Scamdog millionaire: Detecting e-commerce scams in the wild
01 sty 2023
Empirical investigation of factors influencing function as a service performance in different cloud/edge system setups
01 sty 2023
Knowledge Expansion and Counterfactual Interaction for Reference-Based Phishing Detection (DynaPhish)
01 sty 2023
Latency and resource consumption analysis for serverless edge analytics
01 sty 2023
MagicScaler: Uncertainty-Aware, Predictive Autoscaling
01 sty 2023
Sustainable Serverless Computing with Cold-start Optimization and Automatic Workflow Resource Scheduling
01 sty 2023
SHIELD: Sustainable Hybrid Evolutionary Learning Framework for Carbon, Wastewater, and Energy-Aware Data Center Management
01 sty 2023
A system review on fraudulent website detection using machine learning technique
- to-read
- reference
01 sty 2023
The night shift: Understanding performance variability of cloud serverless platforms
01 sty 2023
Detecting Web Bots via Mouse Dynamics and Communication Metadata
01 sty 2023
Challenges and Opportunities in Sustainable Serverless Computing
01 sty 2023
Ecovisor: A Virtual Energy System for Carbon-Efficient Applications
01 sty 2023
Enriching cloud-native applications with sustainability features
01 sty 2023
On the Energy Consumption and Performance of WebAssembly Binaries across Programming Languages and Runtimes in IoT
01 sty 2023
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
01 sty 2023
Enhanced e-commerce fraud pre diction based on a convolutional neural network model
- to-read
- reference
01 sty 2023
Multimodal fraudulent website identification method
- to-read
- reference
01 sty 2022
The Odd One Out: Energy is not like Other Metrics
01 sty 2022
Business Email Compromise Phishing Detection Based on Machine Learning: A Systematic Literature Review
01 sty 2022
MicroFaaS: Energy-Efficient Serverless on Bare-Metal Single-Board Computers
01 sty 2022
Phishing Detection Leveraging Machine Learning and Deep Learning: A Review
01 sty 2022
Analysis of third-party request structures to detect
- to-read
- reference
01 sty 2022
Phishing in Organizations: Findings from a Large-Scale and Long-Term Study
01 sty 2022
PhishIntention: Identifying Phishing Websites Through Visual Combination
01 sty 2022
A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy and Future Directions [Review of A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy and Future Directions]
01 sty 2022
Fraud detection and prevention in e-commerce: A systematic literature review
01 sty 2022
Fraud detection and prevention in e-commerce: A systematic literature review
- to-read
- reference
01 sty 2022
Phishing websites detection using a novel multipurpose dataset and web technologies features
01 sty 2022
Phishing websites
- to-read
- reference
01 sty 2022
BWGNN: Rethinking Graph Neural Networks for Anomaly Detection
01 sty 2022
Towards greener applications: Enabling sustainable-aware cloud native applications design
01 sty 2022
Architectural tactics to optimize software for energy efficiency in the public cloud
01 sty 2022
Multi-SpacePhish: Extending the Evasion-Space of Adversarial Attacks against Phishing Website Detectors
01 sty 2021
Spam Email Detection Using Deep Learning Techniques
01 sty 2021
Applying Machine Learning and Natural Language Processing to Detect Phishing Email
01 sty 2021
Security, Privacy, and Usability in Continuous Authentication: A Survey
01 sty 2021
Scaling the Phish: Advancing the NIST Phish Scale
01 sty 2021
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs
01 sty 2021
Quorum
01 sty 2021
Tessera
01 sty 2021
Botcha: Detecting Malicious Non-Human Traffic in the Wild
01 sty 2021
SoK: Still Plenty of Phish in the Sea — A Taxonomy of User-Oriented Phishing Interventions and Avenues for Future Research
01 sty 2021
FaasCache: Keeping Serverless Computing Alive with Greedy-Dual Caching
01 sty 2021
Attacking hCaptcha: An Empirical Study
01 sty 2021
Fraudulent e-commerce website detection model using HTML, text and image features
- to-read
- reference
01 sty 2021
ACM TechBrief: Computing and climate change
01 sty 2021
Green algorithms: Quantifying the carbon footprint of computation
01 sty 2021
Does the dispersion of online review ratings affect review helpfulness? Computers in Human Behavior, 117, 106670
- to-read
- reference
01 sty 2021
A Microservice-Based Architecture for Performance and Energy Benchmarking of Docker-Host Linux Distributions on IoT Devices
01 sty 2021
Good Bot, Bad Bot: Characterizing Automated Browsing Activity
01 sty 2021
Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages
01 sty 2021
Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection
01 sty 2021
Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks
01 sty 2021
Evaluating the impact of java virtual machines on energy consumption
01 sty 2021
Architectural tactics for energy efficiency: Review of the literature and research roadmap
01 sty 2021
Toward Sustainable Serverless Computing
01 sty 2021
Character-Level Convolutional Neural Networks for URL-Based Phishing Detection
01 sty 2021
Online buyers and open
- to-read
- reference
01 sty 2021
Decoupling Representation Learning and Classification for GNN-based Anomaly Detection
01 sty 2021
How primary and supplementary reviews affect con sumer decision making? Roles of psychological and managerial mechanisms
- to-read
- reference
01 sty 2021
Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud
01 sty 2021
E-commerce products recognition based on a deep learning architecture: Theory
- to-read
- reference
01 sty 2020
VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity
01 sty 2020
Fine-Tuning Deep Neural Networks for Phishing Detection Using Low-Rank Adaptation
01 sty 2020
New perspectives on internet electricity use in 2030
01 sty 2020
Real-Time detection of
- to-read
- reference
01 sty 2020
LogoSENSE: A Companion HOG Based Logo Detection Scheme for Phishing Web Page and E-mail Brand Recognition
01 sty 2020
Logosense: A companion hog based logo detection scheme for
- to-read
- reference
01 sty 2020
A Simple Framework for Contrastive Learning of Visual Representations
01 sty 2020
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
01 sty 2020
SmartWatts: Self-Calibrating Software-Defined Power Meter for Containers
01 sty 2020
Applicability of Machine Learning in Spam and Phishing Email Filtering: Review and Approaches
01 sty 2020
Detecting Spam Email with Machine Learning Optimized with Bio-Inspired Metaheuristic Algorithms
01 sty 2020
Catching the Phish: Detecting Phishing Attacks Using Recurrent Neural Networks (RNNs)
01 sty 2020
Momentum Contrast for Unsupervised Visual Representation Learning
01 sty 2020
Examining the influence of emotional
- to-read
- reference
01 sty 2020
Assessing the suitability of the greenhouse gas protocol for calculation of emissions from public cloud computing workloads
01 sty 2020
Hybrid CNN-LSTM Models for Phishing Website Detection
01 sty 2020
Catchphish: Detection of phishing websites by
- to-read
- reference
01 sty 2020
Categorizing Human Phishing Difficulty: A Phish Scale
01 sty 2020
Appropriate security protocols
- to-read
- reference
01 sty 2020
Making It (Even) Harder: On the Difficulty of Phishing Attacks in View of Security Indicators
01 sty 2020
Counterfighting counterfeit:
- to-read
- reference
01 sty 2020
Monitoring online reviews for reputation fraud campaigns
- to-read
- reference
01 sty 2019
Consumer-facing
- to-read
- reference
01 sty 2019
Machine Learning for Email Spam Filtering: Review, Approaches and Open Research Problems
01 sty 2019
Deep Anomaly Detection on Attributed Networks
01 sty 2019
A keyword-based combination approach for
- to-read
- reference
01 sty 2019
TeaStore - A Micro-Service Reference Application
01 sty 2019
Phishing Email Detection Using Improved RCNN Model With Multilevel Vectors and Attention Mechanism
01 sty 2019
A comprehensive evaluation of HTTP header
- to-read
- reference
01 sty 2019
A Social Economic Analysis of the Impact of GDPR on
- to-read
- reference
01 sty 2019
CrowdBC: A blockchain-based decentralized framework for crowdsourcing
01 sty 2019
A stacking model using URL and HTML
- to-read
- reference
01 sty 2019
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
01 sty 2019
PhishLedger: A decentralized phishing data sharing mechanism
01 sty 2019
Combining visual and contextual information for
- to-read
- reference
01 sty 2019
Combining visual and contextual information for fraudulent online store classification
01 sty 2019
Machine learning based phishing detection
- to-read
- reference
01 sty 2019
Machine learning based phishing detection from URLs
01 sty 2019
ShamFinder: An Automated Framework for Detecting IDN Homographs
01 sty 2019
Performance overhead of container orchestration frameworks for management of multi-tenant database deployments
01 sty 2019
Feature construction for fraudulent credit card cash-out detection
- to-read
- reference
01 sty 2019
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective
01 sty 2019
AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN
01 sty 2019
Robust Graph Convolutional Networks Against Adversarial Attacks
01 sty 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning
01 sty 2018
The Impact of Application Context on Privacy and Performance of Keystroke Authentication Systems
01 sty 2018
NLP based phishing attack detection from URLs,
- to-read
- reference
01 sty 2018
The next 700 CPU power models
01 sty 2018
Adversarial Attack on Graph Structured Data
01 sty 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
01 sty 2018
Observations on Typing from 136 Million Keystrokes
01 sty 2018
Managing energy consumption as an architectural quality attribute
01 sty 2018
RAPL in Action: Experiences in Using RAPL for Power Measurements
01 sty 2018
Extrinsic versus intrinsic rewards for
- to-read
- reference
01 sty 2018
HTTP security headers analysis of top one million websites,
- to-read
- reference
01 sty 2018
URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection
01 sty 2018
reCAPTCHA v3: A New Approach to Bot Detection
01 sty 2018
ZebraLancer: Crowdsource Knowledge atop Open Blockchain, Privately and Anonymously
01 sty 2018
Content based fraudulent website
- to-read
- reference
01 sty 2018
How does docker affect energy consumption? Evaluating workloads in and out of docker containers
01 sty 2018
Modeling Relational Data with Graph Convolutional Networks
01 sty 2018
Online E-commerce Fraud: A Largescale Detection and Analysis, pp
- to-read
- reference
01 sty 2018
Application of machine learning to identify
- to-read
- reference
01 sty 2018
Application of machine learning to identify counterfeit website
01 sty 2018
Yet Another Text CAPTCHA Solver: A Generative Adversarial Network Based Approach
01 sty 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-Regressive Models
01 sty 2018
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks
01 sty 2018
Adversarial Attacks on Neural Networks for Graph Data
01 sty 2017
Click Fraud Detection in Mobile Ads Served in Programmatic Inventory
01 sty 2017
Impact of Security Awareness Training on Phishing Click-Through Rates
01 sty 2017
Learning to detect and measure fake ecommerce websites in search-engine results
01 sty 2017
Learning to detect and measure fake ecommerce websites in
- to-read
- reference
01 sty 2017
Inductive Representation Learning on Large Graphs
01 sty 2017
Inductive Representation Learning on Large Graphs
01 sty 2017
The social relation key: A new paradigm for security
- to-read
- reference
01 sty 2017
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
01 sty 2017
Factors that influence the consumer purchase intention in social media websites
- to-read
- reference
01 sty 2017
Semi-Supervised Classification with Graph Convolutional Networks
01 sty 2017
How ‘social’ are destinations? Examining European DMO
- to-read
- reference
01 sty 2017
Attention Is All You Need
01 sty 2017
Bot Traffic Report 2016
01 sty 2016
Migrating to cloud-native architectures using microservices: An experience report
01 sty 2016
Social Bots Distort the 2016 U.S. Presidential Election Online Discussion
01 sty 2016
Wide & Deep Learning for Recommender Systems
01 sty 2016
A Survey on Truth Discovery
01 sty 2016
Fake it till you make it: Reputation, competition, and Yelp review
- to-read
- reference
01 sty 2016
When Recommendation Goes Wrong: Anomalous Link Discovery in Recommendation Networks
01 sty 2016
Energy efficiency of orm approaches: an empirical evaluation
01 sty 2016
I Am Robot: (Deep) Learning to Break Semantic Image CAPTCHAs
01 sty 2015
Utilizing Linguistically Enhanced Keystroke Dynamics to Predict Typist Cognition and Demographics
01 sty 2015
The E-commerce market for "lemons": identification and analysis of websites selling counterfeit goods
01 sty 2015
The E-commerce market for "lemons": identification and
- to-read
- reference
01 sty 2014
Online experiences: Flow theory, measuring online customer experience in e-commerce and managerial implications for the lodging industry
- to-read
- reference
01 sty 2014
Going Spear Phishing: Exploring Embedded Training and Awareness
01 sty 2014
Explaining and Harnessing Adversarial Examples
01 sty 2014
Phishstorm: Detecting phishing with streaming analytics
- to-read
- reference
01 sty 2014
Green architectural tactics for the cloud
01 sty 2013
An efficient approach to detecting phishing web
- to-read
- reference
01 sty 2012
Random Forests for the Detection of Click Fraud in Online Mobile Advertising
01 sty 2012
Continuous Keystroke Dynamics: A Different Perspective Towards Biometric Evaluation
01 sty 2012
Energy-efficient datacenters
01 sty 2012
Detecting Causality in Complex Ecosystems
01 sty 2011
Exposing Click Fraud Using a Burst Detection Algorithm
01 sty 2010
Detecting fake websites:
- to-read
- reference
01 sty 2009
Order-Preserving Symmetric Encryption
01 sty 2009
A Correction to 'Efficient and Secure Comparison for On-line Auctions'
01 sty 2008
Homomorphic Encryption and Secure Comparison
01 sty 2007
Efficient and Secure Comparison for On-Line Auctions
01 sty 2007
Manipulation-resistant reputation systems
01 sty 2005
The Case for Anomalous Link Discovery
01 sty 2004
The Enron Corpus: A New Dataset for Email Classification Research
01 sty 1998
Text categorization with support vector machines: Learning with many relevant
- to-read
- reference
01 sty 1997
Long Short-Term Memory
01 sty 1992
A simple rule-based part of speech tagger
- to-read
- reference

Stworzone z użyciem Quartz v4.5.2 © 2026

GitHub
Discord Community