Behavior Shaver: An Application Based Layer 3 VPN that Conceals Traffic Patterns Using SCTP. - Mamoru Mimura; Hidehiko Tanaka (BWCCA, 2010)

Evaluation of a Brute Forcing Tool that Extracts the RAT from a Malicious Document File. - Mamoru Mimura; Yuhei Otsubo; Hidehiko Tanaka (AsiaJCIS, 2016)

A Practical Experiment of the HTTP-Based RAT Detection Method in Proxy Server Logs. - Mamoru Mimura; Yuhei Otsubo; Hidehiko Tanaka; Hidema Tanaka (AsiaJCIS, 2017)

Is Emulating "Binary Grep in Eyes" Possible with Machine Learning? - Mamoru Mimura; Yuhei Otsubo; Hidema Tanaka; Atsuhiro Goto (CANDAR, 2017)

Long-Term Performance of a Generic Intrusion Detection Method Using Doc2vec. - Mamoru Mimura; Hidema Tanaka (CANDAR, 2017)

Reading Network Packets as a Natural Language for Intrusion Detection. - Mamoru Mimura; Hidema Tanaka (ICISC, 2017)

Heavy Log Reader: Learning the Context of Cyber Attacks Automatically with Paragraph Vector. - Mamoru Mimura; Hidema Tanaka (ICISS, 2017)

Dark Domain Name Attack: A New Threat to Domain Name System. - Bold Munkhbaatar; Mamoru Mimura; Hidema Tanaka (ICISS, 2017)

Leveraging Man-in-the-middle DoS Attack with Internal TCP Retransmissions in Virtual Network. - Son Duc Nguyen; Mamoru Mimura; Hidema Tanaka (ICISS, 2017)

Abusing TCP Retransmission for DoS Attack Inside Virtual Network. - Son Duc Nguyen; Mamoru Mimura; Hidema Tanaka (WISA, 2017)

Verifiable Secret Sharing Scheme Using Hash Values. - Junta Imai; Mamoru Mimura; Hidema Tanaka (CANDAR Workshops, 2018)

On the Effectiveness of Extracting Important Words from Proxy Logs. - Mamoru Mimura (CANDAR Workshops, 2018)

Discovering New Malware Families Using a Linguistic-Based Macros Detection Method. - Hiroya Miura; Mamoru Mimura; Hidema Tanaka (CANDAR Workshops, 2018)

Slow-Port-Exhaustion DoS Attack on Virtual Network Using Port Address Translation. - Son Duc Nguyen; Mamoru Mimura; Hidema Tanaka (CANDAR, 2018)

A Linguistic Approach Towards Intrusion Detection in Actual Proxy Logs. - Mamoru Mimura; Hidema Tanaka (ICICS, 2018)

Macros Finder: Do You Remember LOVELETTER? - Hiroya Miura; Mamoru Mimura; Hidema Tanaka (ISPEC, 2018)

o-glasses: Visualizing x86 Code from Binary Using a 1d-CNN. - Yuhei Otsubo; Akira Otsuka; Mamoru Mimura; Takeshi Sakaki; Atsuhiro Goto (CoRR, 2018)

Leaving All Proxy Server Logs to Paragraph Vector. - Mamoru Mimura; Hidema Tanaka (J. Inf. Process., 2018)

Detecting Unknown Malware from ASCII Strings with Natural Language Processing Techniques. - Ryo Ito; Mamoru Mimura (AsiaJCIS, 2019)

Filtering Malicious JavaScript Code with Doc2Vec on an Imbalanced Dataset. - Mamoru Mimura; Yuya Suga (AsiaJCIS, 2019)

Analysis of Division Property using MILP Method for Lightweight Blockcipher Piccolo. - Hiroki Sato; Mamoru Mimura; Hidema Tanaka (AsiaJCIS, 2019)

An Analysis of TCP ACK Storm DoS Attack on Virtual Network. - Son Nguyen Duc; Mamoru Mimura; Hidema Tanaka (ISCIT, 2019)

Towards Efficient Detection of Malicious VBA Macros with LSI. - Mamoru Mimura; Taro Ohminami (IWSEC, 2019)

Using Sparse Composite Document Vectors to Classify VBA Macros. - Mamoru Mimura (NSS, 2019)

An Attempt to Read Network Traffic with Doc2vec. - Mamoru Mimura (J. Inf. Process., 2019)

Detecting Unseen Malicious VBA Macros with NLP Techniques. - Mamoru Mimura; Hiroya Miura (J. Inf. Process., 2019)

Oversampling for Detection of Malicious JavaScript in Realistic Environment. - Phung Minh Ngoc; Mamoru Mimura (BWCCA, 2020)

Detection of Malicious PowerShell Using Word-Level Language Models. - Yui Tajiri; Mamoru Mimura (IWSEC, 2020)

An Improved Method of Detecting Macro Malware on an Imbalanced Dataset. - Mamoru Mimura (IEEE Access, 2020)

o-glasses: Visualizing X86 Code From Binary Using a 1D-CNN. - Yuhei Otsubo; Akira Otsuka; Mamoru Mimura; Takeshi Sakaki (IEEE Access, 2020)

Adjusting lexical features of actual proxy logs for intrusion detection. - Mamoru Mimura (J. Inf. Secur. Appl., 2020)

Using fake text vectors to improve the sensitivity of minority class for macro malware detection. - Mamoru Mimura (J. Inf. Secur. Appl., 2020)

Using LSI to Detect Unknown Malicious VBA Macros. - Mamoru Mimura; Taro Ohminami (J. Inf. Process., 2020)

Toward Automated Audit of Client-Side Vulnerability Against Cross-Site Scripting. - Mamoru Mimura; Takumi Yamasaki (BWCCA, 2021)

Data augmentation of JavaScript dataset using DCGAN and random seed. - Phung Minh Ngoc; Mamoru Mimura (CANDAR (Workshops), 2021)

Automating post-exploitation with deep reinforcement learning. - Ryusei Maeda; Mamoru Mimura (Comput. Secur., 2021)

Static detection of malicious PowerShell based on word embeddings. - Mamoru Mimura; Yui Tajiri (Internet Things, 2021)

Detection of malicious javascript on an imbalanced dataset. - Phung Minh Ngoc; Mamoru Mimura (Internet Things, 2021)

SPEChecker: Checking the feasibility of Slow-port-exhaustion attack on various hypervisors. - Son Duc Nguyen; Mamoru Mimura; Hidema Tanaka (Internet Things, 2021)

SVTester: Finding DoS Vulnerabilities of Virtual Switches. - Son Duc Nguyen; Mamoru Mimura; Hidema Tanaka (J. Inf. Process., 2021)

An Attention Mechanism for Visualizing Word Weights in Source Code of PowerShell Samples: Experimental Results and Analysis. - Yuki Mezawa; Mamoru Mimura (BWCCA, 2022)

Evaluating the Possibility of Evasion Attacks to Machine Learning-Based Models for Malicious PowerShell Detection. - Yuki Mezawa; Mamoru Mimura (ISPEC, 2022)

Applying NLP techniques to malware detection in a practical environment. - Mamoru Mimura; Ryo Ito (Int. J. Inf. Sec., 2022)

Evaluation of printable character-based malicious PE file-detection method. - Mamoru Mimura (Internet Things, 2022)

Evaluation of a cGAN Model and Random Seed Oversampling on Imbalanced JavaScript Datasets. - Phung Minh Ngoc; Mamoru Mimura (J. Inf. Process., 2022)

Leverage Slow-port-exhaustion Attacks by Exploiting Abnormal Connections from IoT Devices and Docker Containers. - Son Duc Nguyen; Mamoru Mimura; Hidema Tanaka (J. Inf. Process., 2022)

Malicious JavaScript Detection Based on AST Analysis and Key Feature Re-sampling in Realistic Environments. - Phung Minh Ngoc; Mamoru Mimura (C2SI, 2023)

XSS Attack Detection by Attention Mechanism Based on Script Tags in URLs. - Yuki Nakagawa; Mamoru Mimura (ISPEC, 2023)

Detection of Malware Using Self-Attention Mechanism and Strings. - Satoki Kanno; Mamoru Mimura (NSS, 2023)

Extracting Common Features of Fake News by Multi-Head-Attention. - Takayuki Ishimaru; Mamoru Mimura (SocialSec, 2023)

A Feasibility Study on Evasion Attacks Against NLP-Based Macro Malware Detection Algorithms. - Mamoru Mimura; Risa Yamamoto (IEEE Access, 2023)

Impact of benign sample size on binary classification accuracy. - Mamoru Mimura (Expert Syst. Appl., 2023)

Evasion Attempt for the Malicious PowerShell Detector Considering Feature Weights. - Kou Sugiura; Mamoru Mimura (ICICS (1), 2024)

Hybrid Input Model Using Multiple Features From Surface Analysis for Malware Detection. - Mamoru Mimura; Satoki Kanno (IEEE Access, 2024)

Compiler Provenance Recovery for Multi-CPU Architectures Using a Centrifuge Mechanism. - Yuhei Otsubo; Akira Otsuka; Mamoru Mimura (IEEE Access, 2024)

Analyzing common lexical features of fake news using multi-head attention weights. - Mamoru Mimura; Takayuki Ishimaru (Internet Things, 2024)

Malicious JavaScript Detection in Realistic Environments with SVM and MLP Models. - Phung Minh Ngoc; Mamoru Mimura (J. Inf. Process., 2024)

Practical evasion attack against neural network-based macro-malware detection method. - Mamoru Mimura; Kazuyuki Kurashina (Clust. Comput., 2025)