On the public citation graph

DockerWatch: a two-phase hybrid detection of malware using various static features in container cloud

https://doi.org/10.1007/s00500-022-07546-2

0 signed · 67 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/j.1538-7305.1948.tb01338.xopenalex-snapshot

A Mathematical Theory of Communication

inferredcites →https://doi.org/10.1007/3-540-45054-8_27openalex-snapshot

Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns

inferredcites →https://doi.org/10.1007/978-3-030-05063-4_42openalex-snapshot

Anomaly Detection and Diagnosis for Container-Based Microservices with Performance Monitoring

inferredcites →https://doi.org/10.1007/978-3-030-23502-4_23openalex-snapshot

CMonitor: A Monitoring and Alarming Platform for Container-Based Clouds

inferredcites →https://doi.org/10.1007/978-3-319-04283-1_6openalex-snapshot

DroidAPIMiner: Mining API-Level Features for Robust Malware Detection in Android

inferredcites →https://doi.org/10.1007/978-3-319-12280-9_13openalex-snapshot

Mining API Calls and Permissions for Android Malware Detection

inferredcites →https://doi.org/10.1007/978-981-13-5826-5_26openalex-snapshot

Probabilistic Real-Time Intrusion Detection System for Docker Containers

inferredcites →https://doi.org/10.1007/s10207-014-0242-0openalex-snapshot

Malware analysis using visualized images and entropy graphs

inferredcites →https://doi.org/10.1016/j.cose.2014.07.004openalex-snapshot

Enhancing the detection of metamorphic malware using call graphs

inferredcites →https://doi.org/10.1016/j.cose.2019.04.005openalex-snapshot

A feature-hybrid malware variants detection using CNN based opcode embedding and BPNN based API embedding

inferredcites →https://doi.org/10.1016/j.cose.2021.102449openalex-snapshot

A Multi-Perspective malware detection approach through behavioral fusion of API call sequence

inferredcites →https://doi.org/10.1016/j.ins.2011.08.020openalex-snapshot

Opcode sequences as representation of executables for data-mining-based unknown malware detection

inferredcites →https://doi.org/10.1016/j.neucom.2017.07.030openalex-snapshot

DroidDet: Effective and robust detection of android malware using static analysis along with rotation forest model

inferredcites →https://doi.org/10.1016/j.neucom.2020.10.054openalex-snapshot

Learning features from enhanced function call graphs for Android malware detection

inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot

Deep learning

inferredcites →https://doi.org/10.1109/cybersecpods.2016.7502343openalex-snapshot

N-opcode analysis for android malware classification and categorization

inferredcites →https://doi.org/10.1109/dsn.2017.49openalex-snapshot

ContainerLeaks: Emerging Security Threats of Information Leakages in Container Clouds

inferredcites →https://doi.org/10.1109/edcc.2019.00033openalex-snapshot

Studying the Applicability of Intrusion Detection to Multi-Tenant Container Environments

inferredcites →https://doi.org/10.1109/glocomw.2015.7414047openalex-snapshot

Applying Bag of System Calls for Anomalous Behavior Detection of Applications in Linux Containers

inferredcites →https://doi.org/10.1109/ic2e.2019.00026openalex-snapshot

A Study on Container Vulnerability Exploit Detection

inferredcites →https://doi.org/10.1109/icassp.2015.7178304openalex-snapshot

Malware classification with recurrent networks

inferredcites →https://doi.org/10.1109/icccn.2016.7568542openalex-snapshot

Malware Variant Detection Using Opcode Image Recognition with Small Training Sets

inferredcites →https://doi.org/10.1109/icpads.2016.0155openalex-snapshot

IRMD: Malware Variant Detection Using Opcode Image Recognition

inferredcites →https://doi.org/10.1109/ijcnn.2017.7966078openalex-snapshot

Classification of Android apps and malware using deep neural networks

inferredcites →https://doi.org/10.1109/ispass.2015.7095802openalex-snapshot

An updated performance comparison of virtual machines and Linux containers

inferredcites →https://doi.org/10.1109/jiot.2019.2925929openalex-snapshot

Analyzing and Detecting Emerging Internet of Things Malware: A Graph-Based Approach

inferredcites →https://doi.org/10.1109/jiot.2020.3037181openalex-snapshot

An Efficient Container Management Scheme for Resource-Constrained Intelligent IoT Devices

inferredcites →https://doi.org/10.1109/jiot.2021.3084449openalex-snapshot

Enhancing Trustworthiness of Internet of Vehicles in Space–Air–Ground-Integrated Networks: Attestation Approach

inferredcites →https://doi.org/10.1109/mcc.2016.100openalex-snapshot

To Docker or Not to Docker: A Security Perspective

inferredcites →https://doi.org/10.1109/mcom.101.2001126openalex-snapshot

Securing Critical Infrastructures: Deep-Learning-Based Threat Detection in IIoT

inferredcites →https://doi.org/10.1109/mcom.2015.7120046openalex-snapshot

Cloud assisted HetNets toward 5G wireless networks

inferredcites →https://doi.org/10.1109/mwc.2017.1600427openalex-snapshot

Container-as-a-Service at the Edge: Trade-off between Energy Efficiency and Service Availability at Fog Nano Data Centers

inferredcites →https://doi.org/10.1109/pdp50117.2020.00069openalex-snapshot

Container Anomaly Detection Using Neural Networks Analyzing System Calls

inferredcites →https://doi.org/10.1109/sp.2016.17openalex-snapshot

SOK: (State of) The Art of War: Offensive Techniques in Binary Analysis

inferredcites →https://doi.org/10.1109/sp.2018.00054openalex-snapshot

Understanding Linux Malware

inferredcites →https://doi.org/10.1109/tcc.2019.2935724openalex-snapshot

A Docker Container Anomaly Monitoring System Based on Optimized Isolation Forest

inferredcites →https://doi.org/10.1109/tdsc.2016.2536605openalex-snapshot

MADAM: Effective and Efficient Behavior-based Android Malware Detection and Prevention

inferredcites →https://doi.org/10.1109/tdsc.2018.2846258openalex-snapshot

Physical Layer based Message Authentication with Secure Channel Codes

inferredcites →https://doi.org/10.1109/tdsc.2018.2879605openalex-snapshot

A Study on the Security Implications of Information Leakages in Container Clouds

inferredcites →https://doi.org/10.1109/tdsc.2018.2884928openalex-snapshot

Deep Learning and Visualization for Identifying Malware Families

inferredcites →https://doi.org/10.1109/tfuzz.2021.3130311openalex-snapshot

Fuz-Spam: Label Smoothing-Based Fuzzy Detection of Spammers in Internet of Things

inferredcites →https://doi.org/10.1109/tifs.2018.2866319openalex-snapshot

A Multimodal Deep Learning Method for Android Malware Detection Using Various Features

inferredcites →https://doi.org/10.1109/tii.2018.2822680openalex-snapshot

Detection of Malicious Code Variants Based on Deep Learning

inferredcites →https://doi.org/10.1109/tii.2018.2851241openalex-snapshot

Tasks Scheduling and Resource Allocation in Fog Computing Based on Containers for Smart Manufacturing

inferredcites →https://doi.org/10.1109/tii.2020.3045161openalex-snapshot

MAGLeak: A Learning-Based Side-Channel Attack for Password Recognition With Multiple Sensors in IIoT Environment

inferredcites →https://doi.org/10.1109/tii.2020.3047416openalex-snapshot

ContainerGuard: A Real-Time Attack Detection System in Container-Based Big Data Platform

inferredcites →https://doi.org/10.1109/tpami.2002.1017623openalex-snapshot

Multiresolution gray-scale and rotation invariant texture classification with local binary patterns

inferredcites →https://doi.org/10.1109/tpds.2020.3029088openalex-snapshot

Cryptomining Detection in Container Clouds Using System Calls and Explainable Machine Learning

inferredcites →https://doi.org/10.1109/tsmc.1973.4309314openalex-snapshot

Textural Features for Image Classification

inferredcites →https://doi.org/10.1145/2016904.2016908openalex-snapshot

Malware images

inferredcites →https://doi.org/10.1145/2619239.2631434openalex-snapshot

Droid-Sec

inferredcites →https://doi.org/10.1145/3129676.3129712openalex-snapshot

Extracting the Representative API Call Patterns of Malware Families Using Recurrent Neural Network

inferredcites →https://doi.org/10.1145/3274694.3274720openalex-snapshot

A Measurement Study on Linux Container Security

inferredcites →https://doi.org/10.1145/3372297.3417291openalex-snapshot

Enhancing State-of-the-art Classifiers with API Semantics to Detect Evolved Android Malware

inferredcites →https://doi.org/10.1145/3477084.3484951openalex-snapshot

A blockchain-based Shamir's threshold cryptography for data protection in industrial internet of things of smart city

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.5151248openalex-extracted

Containerization in Multi-Cloud Environment: Roles, Strategies, Challenges, and Solutions for Effective Implementation

inferred← citeshttps://doi.org/10.1007/978-981-99-8132-8_4openalex-snapshot

Adaptive CNN-Based Image Compression Model for Improved Remote Desktop Experience

inferred← citeshttps://doi.org/10.1007/s12559-024-10337-6openalex-snapshot

Cognitively Inspired Three-Way Decision Making and Bi-Level Evolutionary Optimization for Mobile Cybersecurity Threats Detection: A Case Study on Android Malware

inferred← citeshttps://doi.org/10.1016/j.cose.2023.103490openalex-snapshot

Container security: Precaution levels, mitigation strategies, and research perspectives

inferred← citeshttps://doi.org/10.1016/j.jss.2025.112558openalex-snapshot

Containerization in multi-cloud environment: Roles, strategies, challenges, and solutions for effective implementation

inferred← citeshttps://doi.org/10.1109/access.2024.3491185openalex-snapshot

Design of an Iterative Method for Malware Detection Using Autoencoders and Hybrid Machine Learning Models

inferred← citeshttps://doi.org/10.1109/iccece61355.2025.10940828openalex-snapshot

RAFM: On designing a robustness assessment framework to evaluate the hardness of malware detectors against adversarial attack

inferred← citeshttps://doi.org/10.1109/iske60036.2023.10481346openalex-snapshot

Efficient IoT Malware Detection Using Convolution Neural Network and View-Invariant Block

inferred← citeshttps://doi.org/10.1145/3645092openalex-snapshot

A Systematic Literature Review on Maintenance of Software Containers

inferred← citeshttps://doi.org/10.15622/rcai.2025.097openalex-snapshot

ОБНАРУЖЕНИЕ АНОМАЛИЙ В КОНТЕЙНЕРНЫХ СИСТЕМАХ НА ОСНОВЕ ПРОФИЛИРОВАНИЯ И НЕЙРОННОЙ СЕТИ AE-LSTM

inferred← citeshttps://doi.org/10.2139/ssrn.5397988openalex-snapshot

Plc: Parallel Lightweight Compression for High-Bandwidth Remote Desktop Video

inferred← citeshttps://doi.org/10.52953/zrck3746openalex-snapshot

AI-driven container security approaches for 5G and beyond: A survey

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.