[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-128433-en":3,"doc-seo-128433-105":30,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},128433,962084925290,"Ophelia","https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45",8,"Research & Report","DETECTION AND IDENTIFICATION OF CYBERATTACKS IN CPS - BY APPLYING MACHINE LEARNING ALGORITHMS","Cyber-physical systems (CPS) combine networked components for remote access, monitoring, and control, but their integration into unsecured networks makes them frequent targets of cyberattacks. When intrusions occur, adversaries can disrupt system operations with potentially severe consequences, making CPS trustworthiness essential. Because identifying attacks on computerised policing systems (CPSs) is becoming harder as threats evolve, a machine learning and artificial intelligence–driven detection framework is proposed to improve reliability.","هــــــجلــة جـــــــاهعة بـــــــــابــل للعلــــــــىم الهندسية هــــــجلــة جـــــــاهعة بـــــــــابــل للعلــــــــىم الهندسيةهــــــجلــة جـــــــاهعة بـــــــــابــل للعلــــــــىم الهندسية  \nDETECTION AND IDENTIFICATION OF CYBERATTACKS IN CPS BY  \nAPPLYING MACHINE LEARNING ALGORITHMS  \nZina A.Saleh  \nDepartment of Studies and Planning, Presidency of the University of Babylon, Iraq  \n[zina.badi@uobabylon.edu.iq](zina.badi@uobabylon.edu.iq)  \n Received:  22/2/2023  Accepted:  11/4/2023  Published:  9/5/2023  \nAbstract  \nIn general, cyber-physical systems (also known as CPS) consist of networked components that allow for remote access, monitoring, and examination. Because they were integrated into an unsecured network, they have been the target of multiple cyberattacks. In the event that there was a breach in internet security, an adversary would be able to damage the system, which may have devastating effects. Thus, it is extremely important to maintain the credibility of the CPS. It is becoming increasingly difficult to identify assaults on computerised policing systems (CPSs) as these systems become more of a target for hackers and cyberthreats. It is feasible that Machine Learning (ML) as well as Artificial Intelligence (AI), may also make it the finest of times. Both of these outcomes are plausible. Technology based on artificial intelligence (AI) can play a role in the growth and success of a wide range of different types of enterprises in a variety of different ways. The goal of this type of data analysis is to avoid CPS assaults using machine learning and artificial intelligence techniques. A new framework was offered for the detection of cyberattacks, which makes use of machine learning and artificial intelligence (ML) . the process of cleaning up the data in the CPS database is starting by performing normalisation in order to get rid of errors and duplicates. This is done so that the data is consistent throughout. Linear Discriminant Analysis is the method that is used to get the features, and it is known as that (LDA) . As a mechanism for the identification of cyberattacks, The suggested used process was the SFL-HMM process in conjunction with the HMS-ACO procedure. The new strategy is evaluated using a MATLAB simulation, and the metrics obtained from that simulation are compared to the metrics received from the earlier methods. The framework is shown to be substantially more effective than traditional techniques in the upkeep of high degrees of privacy, as demonstrated by the outcomes of a number of separate investigations. In addition, in terms of detection rate, false positive rate, and computation time, respectively, the framework beats traditional detection methods.  \nKeywords: AI, CPS, cyber-attacks, ML, LDA, SFL-HMM, HMS-ACO.  \n[www.journalofbabylon.com](www.journalofbabylon.com) ISSN: 2616-9916  \n| [Journal.eng@uobabylon.edu.iq](Journal.eng@uobabylon.edu.iq)  \n[info@journalofbabylon.com](info@journalofbabylon.com)  \nهــــــجلــة جـــــــاهعة بـــــــــابــل للعلــــــــىم الهندسية هــــــجلــة جـــــــاهعة بـــــــــابــل للعلــــــــىم الهندسيةهــــــجلــة جـــــــاهعة بـــــــــابــل للعلــــــــىم الهندسية  \n1. INTRODUCTION  \nRecent developments in technology have led to the introduction of cyber-physical systems. These systems have improved computational and communicational capabilities, and they integrate both physical and cyber-components. As a result, many dynamic applications have seen significant advancements as a result of these systems. Yet, this advancement comes at the expense of increased susceptibility to cyberattacks [1,2,3] . Logical components and embedded computers make up cyber-physical systems, and these systems communicate with one another through various communication routes, including the Internet of Things (IoT) . To be more exact, these systems consist of digital or cyber components, analogue components, physical devices, and humans that are meant to interact between the physic","cbCail28k17Jr1i4","https://ap.wps.com/l/cbCail28k17Jr1i4","pdf",2724225,1,20,"English","en",105,"# Abstract\n# Keywords\n# Introduction\n## Cyber-physical systems and their structure\n## Security challenges and sensor-related risks\n## Cyberattack types and detection need","[{\"question\":\"Why are cyber-physical systems (CPS) vulnerable to cyberattacks?\",\"answer\":\"CPS combine networked components and are often integrated into unsecured networks, which makes them targets for multiple cyberattacks.\"},{\"question\":\"What is the main objective of the proposed approach?\",\"answer\":\"The goal is to avoid CPS attacks by using machine learning and artificial intelligence techniques within a new detection framework.\"},{\"question\":\"Which methods are used to identify cyberattacks in the framework?\",\"answer\":\"The framework uses Linear Discriminant Analysis (LDA) for feature extraction and combines SFL-HMM with HMS-ACO for identification.\"}]","DETECTION AND IDENTIFICATION OF CYBERATTACKS IN CPS - BY APPLYING MACHINE LEARNING ALGORITHMS | PDF",1785947674,50,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":28},"detection-and-identification-of-cyberattacks-in-cps-by-applying-machine-learning-algorithms","",{"@graph":36,"@context":86},[37,54,69],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/detection-and-identification-of-cyberattacks-in-cps-by-applying-machine-learning-algorithms/128433/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-22","2026-08-05",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"Why are cyber-physical systems (CPS) vulnerable to cyberattacks?","Question",{"text":76,"@type":77},"CPS combine networked components and are often integrated into unsecured networks, which makes them targets for multiple cyberattacks.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"What is the main objective of the proposed approach?",{"text":81,"@type":77},"The goal is to avoid CPS attacks by using machine learning and artificial intelligence techniques within a new detection framework.",{"name":83,"@type":74,"acceptedAnswer":84},"Which methods are used to identify cyberattacks in the framework?",{"text":85,"@type":77},"The framework uses Linear Discriminant Analysis (LDA) for feature extraction and combines SFL-HMM with HMS-ACO for identification.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":93},[94,98,102,106,111,115,120,123,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":46,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":46,"category_name":113,"show_sort_weight":29,"slug":114},6,"Technology","technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":21,"slug":126},9,"Religion & Spirituality","religion-spirituality",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":21,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":107,"slug":137},19,"General","general"]