IPSI Transactions on Internet Research最新文献

Detecting Malicious Botnets in IoT Networks Using Machine Learning Techniques 利用机器学习技术检测物联网网络中的恶意僵尸网络

IPSI Transactions on Internet Research Pub Date : 2024-07-01 DOI: 10.58245/ipsi.tir.2402.03

Muhammad Nabeel Asghar, Muhammad Asif Raza, Zara Murad, Ahmed Alyahya

{"title":"Detecting Malicious Botnets in IoT Networks Using Machine Learning Techniques","authors":"Muhammad Nabeel Asghar, Muhammad Asif Raza, Zara Murad, Ahmed Alyahya","doi":"10.58245/ipsi.tir.2402.03","DOIUrl":"https://doi.org/10.58245/ipsi.tir.2402.03","url":null,"abstract":"The widespread use of the Internet of Things (IoT) has led to a rise in botnet attacks, with the Mirai botnet being a major source of Distributed Denial of Service (DDOS) attacks. Mirai gained notoriety for its involvement in large-scale attacks that compromised numerous IoT devices through weak authentication credentials. Similarly, Bashlite, also known as Gafgyt or Lizkebab, targets vulnerable IoT devices by exploiting the Shellshock vulnerability in Linux-based systems. These botnets leverage compromised devices to carry out malicious activities and the propagation of malware. While Machine Learning (ML) based approaches have been proposed to identify botnets, however, detecting both Mirai and Bashlite botnets simultaneously is challenging as their attack characteristics are not very similar. In this study, we apply ML techniques like Logistic Regression, Support Vector Machine and Random Forest to classify the malicious traffic from Mirai and Bashlite botnets. The publicly available NBaIoT dataset is used for the training of algorithms to identify the most informative features to detect botnet traffic targeting IoT devices. The dataset contains traffic data from nine infected devices against five protocols. The employed machine learning algorithms achieved test validation accuracy above 99%, with Random Forest performing the best. Our analysis shows that devices generating combo floods share common characteristics like weight or variance calculated within a certain time window.","PeriodicalId":516644,"journal":{"name":"IPSI Transactions on Internet Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141689990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Event Processing Network for Systematic Reduction of Interoperability Deviations in a Business Ecosystem 系统减少商业生态系统互操作性偏差的事件处理网络

IPSI Transactions on Internet Research Pub Date : 2024-07-01 DOI: 10.58245/ipsi.tir.2402.09

Daliborka Macinkovic, Vidan Marković

{"title":"The Event Processing Network for Systematic Reduction of Interoperability Deviations in a Business Ecosystem","authors":"Daliborka Macinkovic, Vidan Marković","doi":"10.58245/ipsi.tir.2402.09","DOIUrl":"https://doi.org/10.58245/ipsi.tir.2402.09","url":null,"abstract":"This work proposes the model of the event processing network for the systematic reduction of interoperability deviations in a business ecosystem. Complex event processing technology supports real-time events monitoring in collaborative business processes for the behaviors specified as interoperability deviations, generating alerts when such situations occur. As a reaction, alerts on interoperability deviations are delivered as personalized information to the right consumer as a designated collaboration partner. The event processing network enables collaboration partners to be proactive in interoperability deviations and to eliminate the impact of interoperability deviations on the business process objectives in the business ecosystem. In observing the data as events about realized collaborative business processes during this research, characteristic patterns of events were discovered. The logic for event processing was specified for the systematic reduction of interoperability deviations in the business ecosystem. This work proposes two processes with phases to facilitate the development of the proposed event processing network in a business ecosystem. The logic for event processing was applied through data streams from the public administration and health care systems in collaboration.","PeriodicalId":516644,"journal":{"name":"IPSI Transactions on Internet Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141709916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

"Smart Urban Planning: An Intelligent Framework to Predict Traffic Using Stack Ensembling Approach " "智能城市规划：使用堆栈集合法预测交通的智能框架"

IPSI Transactions on Internet Research Pub Date : 2024-07-01 DOI: 10.58245/ipsi.tir.2402.02

Anjum, Muhammad Adeel Anjum, Ahmad Alanzi

{"title":"\"Smart Urban Planning: An Intelligent Framework to Predict Traffic Using Stack Ensembling Approach \"","authors":"Anjum, Muhammad Adeel Anjum, Ahmad Alanzi","doi":"10.58245/ipsi.tir.2402.02","DOIUrl":"https://doi.org/10.58245/ipsi.tir.2402.02","url":null,"abstract":"The intelligent transportation system needs to accurately assess the volume of traffic in the environment in which it operates to ensure that people are moved in a timely and hassle-free manner. Forecasting systems allow drivers to identify the route that will take them to their destination with the slightest difficulty and the least time spent in congested regions. At present, both the corporate sector and government organizations require accurate and timely traffic flow information. There have been no significant efforts to enhance road traffic prediction by utilizing air pollution data. This paper aims to present a new method for predicting road traffic using data related to pollution. Our contribution to this research is twofold. Firstly, we compared ten regression approaches to determine which technique provides better results and accuracy. Secondly, we present a technique based on regression analysis approaches in which we choose those base learners who give better results on Level 1. These predictions are combined as an input to a Level 2 meta regressor. A method is proposed to show that it generates more satisfactory results than any of the regression procedures discussed previously. Compared with the various regression methodologies, the proposed method successfully lowers the mean square error, the relative absolute error, and the root mean square error and improves the R-squared value.","PeriodicalId":516644,"journal":{"name":"IPSI Transactions on Internet Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141704998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Acoustic Modelling for Quranic Recitation – Current Solutions and Future Directions 古兰经诵读的深度声学建模--当前解决方案和未来方向

IPSI Transactions on Internet Research Pub Date : 2024-07-01 DOI: 10.58245/ipsi.tir.2402.07

Muhammad Aleem Shakeel, Hasan Ali Khattak, Numan Khurshid

{"title":"Deep Acoustic Modelling for Quranic Recitation – Current Solutions and Future Directions","authors":"Muhammad Aleem Shakeel, Hasan Ali Khattak, Numan Khurshid","doi":"10.58245/ipsi.tir.2402.07","DOIUrl":"https://doi.org/10.58245/ipsi.tir.2402.07","url":null,"abstract":"The Holy Quran has the utmost importance for the Muslim community, and to get a full reward, the Quran should be read according to the rules mentioned. In the past few years, this field has gained a lot of importance in the eyes of researchers who aim to automate the Quranic reading and understanding process with the help of Machine Learning and Deep Learning, knowing it has a lot of challenges. To date, there are a lot of research categories explored. However, still, there lacks a few holistic, including one detailed survey of all the categories and methodologies used to solve problems. We focused the paper on being a one-stop-shop for the people interested so they could find (i) all related information and (ii) future gaps in research. This paper provides a detailed survey on Deep Modeling for Quranic Recitation to address these challenges. We discussed all possible categories of speech analysis, including the most advanced feature extraction techniques, mispronunciation detection using Tajweed rules, Reciters and speech dialect classification, and implementation of Automatic Speech Recognition (ASR) on Quranic Recitations. We also discussed research challenges in this domain and identified possible future gaps.","PeriodicalId":516644,"journal":{"name":"IPSI Transactions on Internet Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141712381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Addressing Class Imbalance in Customer Response Modeling Using Random and Clustering-Based Undersampling and SVM 使用基于随机和聚类的欠采样及 SVM 解决客户响应建模中的类别不平衡问题

IPSI Transactions on Internet Research Pub Date : 2024-07-01 DOI: 10.58245/ipsi.tir.2402.08

Ljiljana Kašćelan, Sunčica Vuković

{"title":"Addressing Class Imbalance in Customer Response Modeling Using Random and Clustering-Based Undersampling and SVM","authors":"Ljiljana Kašćelan, Sunčica Vuković","doi":"10.58245/ipsi.tir.2402.08","DOIUrl":"https://doi.org/10.58245/ipsi.tir.2402.08","url":null,"abstract":"The main challenge in machine learning-based customer response models is the class imbalance problem, i.e. small number of respondents, compared to non-respondents. Aiming to overcome this issue, the approach of preprocessing training data using a Support Vector Machine (SVM), trained on a balanced sample obtained by random undersampling (B-SVM), as well as on a balanced sample obtained by clustering-based undersampling (CB-SVM) was tested. Several classifiers are tested on such a balanced dataset, to compare their predictive performances. The results of this paper demonstrate that the approach effectively preprocesses the training data, and, in turn, reduces noise and overcomes the class imbalance problem. Better predictive performance was achieved compared to standard training data balancing techniques such as undersampling and SMOTE. CB-SVM gives a better sensitivity, while B-SVM gives a better ratio of sensitivity and specificity. Organizations can utilize this approach to balance training data automatically and simply and more efficiently select customers that should be targeted in the next direct marketing campaigns.","PeriodicalId":516644,"journal":{"name":"IPSI Transactions on Internet Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141693139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Security of Text Using Affine Cipher and Image Cryptography 利用仿射密码和图像密码学提高文本安全性

IPSI Transactions on Internet Research Pub Date : 2024-07-01 DOI: 10.58245/ipsi.tir.2402.04

Jabeen Mehmoona, Maple Carsten

{"title":"Enhancing Security of Text Using Affine Cipher and Image Cryptography","authors":"Jabeen Mehmoona, Maple Carsten","doi":"10.58245/ipsi.tir.2402.04","DOIUrl":"https://doi.org/10.58245/ipsi.tir.2402.04","url":null,"abstract":"In the contemporary digital landscape, the escalating reliance on diverse social media platforms for textual communication necessitates the establishment of secure and trustworthy channels to thwart the threats of theft or hacking. Most of these messages contain highly confidential data, underscoring the critical need for robust security measures, primarily through the deployment of encryption techniques. While existing algorithms predominantly employ text-to-text encryption (TOTET) methods, this paper introduces an innovative hybrid approach that amalgamates TOTET with text-to-image encryption (TOIET), thereby fortifying the privacy of transmitted messages. This novel method undergoes rigorous testing using various parameters, including privacy levels and encryption time, to evaluate its effectiveness. Comparative analyses are conducted against established techniques such as DES, 3DES, and AES. The experimental results conclusively demonstrate the superior privacy capabilities of the proposed scheme in comparison to its predecessors. This advancement in encryption technology not only bolsters the security of confidential messages but also positions itself as a noteworthy improvement over existing methods, marking a pivotal step towards ensuring the integrity of digital communications.","PeriodicalId":516644,"journal":{"name":"IPSI Transactions on Internet Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141711261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Innovative Solutions for Tetraplegia: A Smart Hand Orthosis Design 四肢瘫痪的创新解决方案：智能手部矫形器设计

IPSI Transactions on Internet Research Pub Date : 2024-07-01 DOI: 10.58245/ipsi.tir.2402.11

Norbert Ferenčík, Veronika Sedláková, Petra Kolembusova, B. Štefanovič, Radovan Hudák, William Steingartner

引用次数: 0

Discover and Automate New Adversarial Attack Paths to Reduce Threat Risks for The Security of Organizations 发现并自动化新的对抗性攻击路径，降低威胁风险，保障组织安全

IPSI Transactions on Internet Research Pub Date : 2024-07-01 DOI: 10.58245/ipsi.tir.2402.06

Azhar Ghafoor, M. A. Shah, Bilal Zaka, Muhammad Nawaz

{"title":"Discover and Automate New Adversarial Attack Paths to Reduce Threat Risks for The Security of Organizations","authors":"Azhar Ghafoor, M. A. Shah, Bilal Zaka, Muhammad Nawaz","doi":"10.58245/ipsi.tir.2402.06","DOIUrl":"https://doi.org/10.58245/ipsi.tir.2402.06","url":null,"abstract":"Phishing remains a pervasive cybersecurity threat, leveraging social engineering and technological deception to obtain sensitive information and credentials. This research explores novel attack paths employed by sophisticated adversaries, focusing on the identification and analysis of emerging tactics to enhance understanding and awareness of evolving phishing threats. The study uncovers various attack vectors, including the impersonation of reputable entities and the exploitation of legitimate platforms for malicious purposes. Notably, it highlights the increasing prevalence of documentbased and social media-based phishing campaigns, underscoring the adaptability of attackers in exploiting diverse channels to deceive users. Furthermore, the research evaluates the effectiveness of current countermeasures and proposes actionable strategies to mitigate phishing risks for organizations. Recommendations include strengthening email protection measures, implementing robust web filtering systems, and conducting simulated phishing campaigns to enhance employee awareness. By providing insights into emerging attack paths and practical recommendations, this research contributes to the ongoing efforts to combat phishing threats and strengthen cybersecurity resilience. The findings underscore the critical importance of proactive measures and continuous vigilance in safeguarding against evolving cyber threats in today's dynamic digital landscape.","PeriodicalId":516644,"journal":{"name":"IPSI Transactions on Internet Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141717141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Futuristic Blockchain-based Secure and Verifiable Drone Surveillance System: Chain in the Sky 基于区块链的未来派安全可验证无人机监控系统：空中链

IPSI Transactions on Internet Research Pub Date : 2024-07-01 DOI: 10.58245/ipsi.tir.2402.05

Usama Arshad, Y. Faheem, Shaheen Reema

{"title":"Futuristic Blockchain-based Secure and Verifiable Drone Surveillance System: Chain in the Sky","authors":"Usama Arshad, Y. Faheem, Shaheen Reema","doi":"10.58245/ipsi.tir.2402.05","DOIUrl":"https://doi.org/10.58245/ipsi.tir.2402.05","url":null,"abstract":"In the current era, drones are being used more often for surveillance and gathering information in many areas. However, as we start using drones more, we face important issues like whether we can trust the data they collect, how safe that data is from hackers and concerns about invading people's privacy. This paper introduces a new idea that uses blockchain technology, which is known for being secure and hard to tamper with, together with drone surveillance to tackle these problems. We used blockchain's key features, such as its ability to work across many places, its security against changes, and the need for agreement, to make sure the data we get is reliable and trustworthy. Our proposed system also makes it easy to tell which drone collected which data, improving how we can track drones and protect the data from being hacked or changed without permission. A big part of our approach is using smart contracts, which are a clear way to manage, apply, and check who can access certain data. We also put a lot of effort into keeping private information safe, only sharing what's absolutely necessary. Our goal with this system is to make people trust the data collected by drones more, leading to a new phase of accepted and reliable drone surveillance.","PeriodicalId":516644,"journal":{"name":"IPSI Transactions on Internet Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141690339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Semantics Learning: A Dynamic Environment for Abstract Language Implementation Education 加强语义学习：抽象语言实现教育的动态环境

IPSI Transactions on Internet Research Pub Date : 2024-07-01 DOI: 10.58245/ipsi.tir.2402.10

William Steingartner, Igor Sivý

引用次数: 0