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arXiv 2024年

作者： Lavi, Danielle Brodt, Oleg Mimran, Dudu Elovici, Yuval Shabtai, Asaf Dept. of Software and Information Systems Engineering Ben-Gurion University of the Negev

Serverless computing is an emerging cloud paradigm with serverless functions at its core. While serverless environments enable software developers to focus on developing applications without the need to actively manage the underlying runtime infrastructure, they open the door to a wide variety of security threats that can be challenging to mitigate with existing methods. Existing security solutions do not apply to all serverless architectures, since they require significant modifications to the serverless infrastructure or rely on third-party services for the collection of more detailed data. In this paper, we present an extendable serverless security threat detection model that leverages cloud providers’ native monitoring tools to detect anomalous behavior in serverless applications. Our model aims to detect compromised serverless functions by identifying post-exploitation abnormal behavior related to different types of attacks on serverless functions, and therefore, it is a last line of defense. Our approach is not tied to any specific serverless application, is agnostic to the type of threats, and is adaptable through model adjustments. To evaluate our model’s performance, we developed a serverless cybersecurity testbed in an AWS cloud environment, which includes two different serverless applications and simulates a variety of attack scenarios that cover the main security threats faced by serverless functions. Our evaluation demonstrates our model’s ability to detect all implemented attacks while maintaining a negligible false alarm rate. Copyright © 2024, The Authors. All rights reserved.

关键词： Cloud security

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GPT IN SHEEP'S CLOTHING: THE RISK OF CUSTOMIZED GPTS

arXiv

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arXiv 2024年

作者： Antebi, Sagiv Azulay, Noam Habler, Edan Ganon, Ben Shabtai, Asaf Elovici, Yuval Department of Software and Information Systems Engineering Ben-Gurion University of the Negev Israel

In November 2023, OpenAI introduced a new service allowing users to create custom versions of ChatGPT (GPTs) by using specific instructions and knowledge to guide the model's behavior. We aim to raise awareness of the fact that GPTs can be used maliciously, posing privacy and security risks to their users. Copyright © 2024, The Authors. All rights reserved.

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software design pattern on the Edge

Software design pattern on the Edge

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2022 International Conference on Electrical, Computer, Communications and Mechatronics engineering, ICECCME 2022

作者： Hurbungs, V. Bassoo, V. Fowdur, T.P. Software and Information Systems Department Faculty of Information Communication & Digital Technologies University of Mauritius Mauritius University of Mauritius Faculty of Engineering Electrical and Electronic Engineering Department Mauritius

ISBN: (数字)9781665470957

ISBN: (纸本)9781665470957

Internet of Things (IoT) is the future of communication technology and its applications range from smart cities, health, transport to agriculture among others. Embedded systems, networks, sensors, devices, communication protocols and software applications contribute to enable connectivity between devices located at the network boundary. Edge computing enables data processing on devices with limited hardware capabilities. software engineering practices could be applied in the development of IoT systems to ensure applications are reliable and operate efficiently. However, there are no proper guidelines about which best software engineering practices might be applied to IoT systems. The main contribution of this study is to investigate the application of software design pattern in an IoT environment in terms of resource and power consumption of battery-powered Edge devices. Two variations of the Singleton design pattern have been implemented in an IoT computing scenario. Experiments demonstrate that the Singleton design pattern can reduce processor, memory, power and battery usage of the device by an average of 0.3%, 0.1%, 0.7% and 0.8% respectively. © 2022 IEEE.

关键词： Internet of things

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Comp-RPKI: A Decentralized Protocol for Full Route Origin Validation 9

Comp-RPKI: A Decentralized Protocol for Full Route Origin Va...

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9th International Conference on Big Data Computing and Communications, BigCom 2023

作者： Wu, Yanwei Wang, Yun Dejulius, Jack Abboud, Riad Woitel, Melvin Osadchyy, Bohdan Richardson, Kyree University of Wisconsin Computer Science and Software Engineering PlattevilleWI United States Bradley University Computer Science and Information Systems PeoriaIL United States

ISBN: (纸本)9798350331240

The Resource Public Key Infrastructure (RPKI) is an essential technology for securing the Border Gateway Protocol (BGP) routing on the Internet. Although the global RPKI-ROV (Route Origin Validation) rate of unique Prefix-Origin Pairs(IPv4) has been improved from 17% in June 2019 (pre-pandemic) to 41.12% in March 2023 (post-pandemic) [1] - [3], the overall RPKI-ROV rate remains below 50%. This indicates a significant insufficiency in RPKI-ROV deployment for ensuring secure BGP routing and persistent security challenges continue to persist in the Internet. To address this, we first develop software to analyze and visualize the relationships among Autonomous systems (ASes), degree distribution, and their RPKI validation status, given a region in IL. Next, we investigate the RPKI validation rates along real-time routing paths from Peoria, IL to all 50 states in the USA. Based on the analysis, we propose a novel lightweight, decentralized, easy-to-deploy, offline protocol called Comp-RPKI, which aims to complement and address the partial deployment of RPKI. Comp-RPKI aims to ensure every segment of a routing path is validated either through online RPKI or secured by offline Comp-RPKI, thereby achieving full RKPI-ROV coverage and enhancing BGP security. © 2023 IEEE.

关键词： Border Gateway Protocol

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Research and Development of Kubernetes Operator for Lightweight Multi-Access Edge Computing Platform Simulator

Research and Development of Kubernetes Operator for Lightwei...

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2025 systems of Signals Generating and Processing in the Field of on Board Communications, SOSG 2025

作者： Filianin, Ivan Borisov, Nikita Bogatyrev, Vladimir Itmo University Faculty of Software Engineering and Computer Engineering St. Petersburg Russia Itmo University Faculty of Infocommunication Technologies St. Petersburg Russia Saint-Petersburg State University of Aerospace Instrumentation Department of Information Systems Security St. Petersburg Russia

ISBN: (纸本)9798331532635

This paper addresses the problem of deploying complex systems in Kubernetes clusters. It discusses using the OperatorSDK framework supported by RedHat as a basis for implementing the Kubernetes operator for Lightweight MultiAccess Edge Computing Platform Simulator (LWMECPS) deployment. Special attention is given to the operator Kubernetes architecture and how to use Operator Lifecycle Manager (OLM) to continuously deploy LWMECPS and machine learning models for it. © 2025 IEEE.

关键词： Edge computing

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Synthetic Tabular Data Generation Using a Vae-Gan Architecture

SSRN

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SSRN 2024年

作者： Anshelevich, Dmitry Katz, Gilad Department of Software and Information Systems Engineering Ben-Gurion University of the Negev Israel

Synthetic data generation (SDG) can be used to augment an existing dataset or create a new dataset with statistical characteristics similar to the original. SDG for tabular data is challenging because of the need to model both continuous and categorical features and their correlations. The current leading approaches for tabular SDG use generative adversarial networks (GAN) or variational autoencoders (VAEs). Generally, GAN-based architectures create high-quality samples but have greater difficulty modeling the distribution of the target dataset. VAE-based approaches accurately model the data distribution but sometimes produce lower-quality samples. In this study, we propose T-VAE-GAN, a novel solution for tabular SDG. Our approach hierarchically combines GANs and VAEs to enable the generation of high-quality samples while ensuring that the overall feature distribution is highly similar to that of the original dataset. Extensive evaluation on a large number of datasets shows that our approach either outperforms or achieves comparable results to leading state-of-the-art approaches while also being more computationally efficient. © 2024, The Authors. All rights reserved.

关键词： Generative adversarial networks

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Enhancing SEO Compliance of JavaScript Web Frameworks through Automated Testing inside CI/CD Pipelines 11

Enhancing SEO Compliance of JavaScript Web Frameworks throug...

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11th Workshop on software Quality Analysis, Monitoring, Improvement, and Applications, SQAMIA 2024

作者： Ágh, Ján Makarova, Irina Dakić, Pavle Institute of Informatics Information Systems and Software Engineering Faculty of Informatics and Information Technologies Slovak University of Technology in Bratislava Ilkovičova 2 Bratislava842 16 Slovakia Faculty of Informatics and Computing Singidunum University Danijelova 32 Belgrade Serbia

This article aims to incorporate search engine optimization validation into the development process of JavaScript-based web applications, thus connecting two sides of optimizations, namely the selection of appropriate practices and their correct implementation. We summarize strategies for achieving search engine optimization (SEO) compliance in single-page applications (SPAs) and propose two distinct testing solutions aimed at addressing SEO concerns in modern web apps. Both approaches are incorporated into CI/CD pipelines, making it possible to enforce existing SEO strategies. The issue of visibility in search engines is especially characteristic for JavaScript-based frameworks. This is because of the way they load and render their content, are mostly unable to achieve satisfactory SEO scores and rankings. Due to the ever-increasing popularity of these frameworks, it is essential to identify and compare available optimization techniques to address this subject adequately. Here, we take a closer look at the SEO-friendly features of *** and *** frameworks and evaluate their capabilities using two mock e-commerce websites as examples. To fulfill our second objective, an approach to continuous SEO testing is presented. We discuss the results of similar CI/CD pipeline setups using distinct technologies and tools, in particular Jenkins and GitHub actions. The results show that by integrating specific tests focused on SEO into CI/CD pipelines, developers can identify crucial shortcomings of their product and eliminate them before they cause harm in the production environment. © 2024 Copyright for this paper by its authors.

关键词： Search engines

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Sinhala Sign Language Detection Approach for Deaf People Using Human Pose Estimation

Sinhala Sign Language Detection Approach for Deaf People Usi...

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2024 International Research Conference on Smart Computing and systems engineering, SCSE 2024

作者： Nadeesha, S.J.M.J. Wasalthilaka, W.V.S.K. Sabaragamuwa University of Sri Lanka Faculty of Computing Department of Computing and Information Systems Belihuloya Sri Lanka Sabaragamuwa University of Sri Lanka Faculty of Computing Department of Software Engineering Belihuloya Sri Lanka

ISBN: (纸本)9798350375688

People with disabilities have physical, sensory, cognitive, or behavioral health problems that limit their participation in activities and interaction with the environment. Deafness is one of the most common types of disability in society. Since verbal communication is impossible for the deaf, sign language is one of the most often used forms of communication among those disable people. However, a third party who is fluent in sign language is necessary for efficient communication. This research study proposed a sign language detector for Sinhala using Logistic Regression, Ridge Classifier, Random Forest, and Gradient Boosting algorithms with human pose estimation. The method used upper-body stance landmarks with 100 human pose videos and 40 widely used signals to extract features for body language classification. With an overall 86.75% success rate, this study is a major step toward improving deaf people's communication in Sri Lanka. © 2024 IEEE.

关键词： Logistic regression

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Hybrid Transfer Learning Approach for Emotion Analysis of Occluded Facial Expressions 6th

Hybrid Transfer Learning Approach for Emotion Analysis of ...

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6th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2023

作者： Pamod, Dilshan Charles, Joseph Hewarathna, Ashen Iranga Vigneshwaran, Palanisamy Lekamge, Sugeeswari Thuseethan, Selvarajah Department of Computing and Information Systems Sabaragamuwa University of Sri Lanka Belihuloya Sri Lanka Erlangen Germany Department of Software Engineering Sabaragamuwa University of Sri Lanka Belihuloya Sri Lanka School of Information Technology Deakin University Geelong Australia

ISBN: (纸本)9783031530814

The ability to recognise and interpret emotional expressions is crucial since emotions play a significant role in our daily lives. Emotions are multifaceted phenomena that affect our behavior, perception, and cognition. As a result, numerous machine-learning and deep-learning algorithms for emotion analysis have been studied in previous works. Finding emotion in an obscured face, such as one covered by a scarf or hidden in shadow, is considerably harder than in a complete face, though. This study explores the effectiveness of deep learning models in occluded facial emotion analysis through a transfer learning approach. The performance of two individual pre-trained models, MobileNetV2 and EfficientNetB3, is compared alongside a hybrid model that combines both approaches. This comparison is conducted using the FER-2013 dataset. The dataset consists of 35,887 images and categorizes emotions into seven emotional categories. The results indicate that the hybrid model attained the highest accuracy, with a score of 93.04% for faces occluded at the top and 92.63% for faces occluded at the bottom. Additionally, the study suggests that top-occluded faces displayed more pronounced emotional expressions in comparison to bottom-occluded faces. Overall, these findings imply that hybrid architecture, which was developed as a state-of-the-art model in the study, proves to be effective for analyzing emotions in facial expressions that are partially obscured. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Learning algorithms

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Prediction of Antimicrobial Peptides Using Deep Neural Networks

Prediction of Antimicrobial Peptides Using Deep Neural Netwo...

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16th International Joint Conference on Biomedical engineering systems and Technologies, BIOSTEC 2023

作者： Gülsüm Söylemez, Ümmü Yousef, Malik Bakir-Gungor, Burcu Department of Software Engineering Faculty of Engineering Muş Alparslan University Muş Turkey Department of Information Systems Zefat Academic College Zefat13206 Israel Department of Computer Engineering Faculty of Engineering Abdullah Gul University Kayseri Turkey

Antimicrobial peptides (AMPs) are crucial elements of the innate immune system;and they are effective against bacteria that cause several diseases. These peptides are investigated as potential alternatives of antibiotics to treat infections. Since wet lab experiments are expensive and time-consuming, computational methods become crucial in this field. In this study, we suggest a computational technique for AMP prediction using deep neural networks (DNN). We trained a DNN classifier using physicochemical features that include a sequential model;and evaluated the model with 10-fold cross-validation on a benchmark dataset. We compared our method with other machine learning approaches and demonstrated that the method we developed generates higher performance (accuracy: 92%, precision: 92%, recall: 93%, f1: 93%, AUC: 98%). In our experiments, we have realized that there is a strong positive correlation between the ‘Normalized Hydrophobic Moment’ feature and ‘Angle Subtended by the Hydrophobic Residues’ feature;and strong negative correlations between ‘Normalized Hydrophobicity’ feature and ‘Disordered Conformation Propensity’ feature, and between ‘Amphilicity Index’ - ‘Disordered Conformation Propensity’ features. We believe that the approach we proposed could guide further experimental studies and could facilitate the prediction of other types of AMPs having anticancer, antivirus, antiparasitic activities. © 2023 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Deep neural networks

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