[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-120998-en":3,"doc-seo-120998-105":30,"detail-sidebar-cat-0-en-105":91},{"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":4,"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},120998,4398048950312,"Violet","https://ap-avatar.wpscdn.com/avatar/400002538284de19e3c?_k=1778320343897328908",8,"Research & Report","Machine learning-based lightweight block ciphers for resource-constrained internet of things networks - a review","The review examines the need for lightweight block ciphers in resource-constrained Internet of Things environments, where limited computing power, memory, and energy create security and efficiency challenges. It explains how lightweight block ciphers aim to provide conventional encryption functionality with reduced computational overhead and power consumption. The study also discusses how machine learning can support prediction, categorization, and optimization during the development of lightweight cipher systems. It highlights representative ciphers and the integration challenges, security requirements, and resilience against cryptographic attacks.","Machine learning-based lightweight block ciphers for resourceconstrained internet of things networks: a review  \nMahendra Shridhar Naik1, Madhavi Mallam2, Chaitra Soppinhalli Nataraju3  \n1Department of Electronics and Communication Engineering, New Horizon College of Engineering, Karnataka, India 2Department of Electronics and Communication Engineering, PES Institute of Technology and Management, Karnataka, India 3Department of Electronics and Communication Engineering, GM Institute of Technology, Karnataka, India  \nArticle history:  \nReceived Oct 10, 2023 Revised Jan 24, 2024 Accepted Jan 25, 2024  \nKeywords:  \nBlock ciphers Cryptanalysis  \nInternet of things Lightweight cryptography Machine learning  \nCorresponding Author:  \nThe increasing number of internet of things (IoT) devices, wearable technologies, and embedded systems has experienced a significant increase in recent years. This surge has brought attention to the necessity for cryptographic algorithms that are lightweight and capable of providing security in resource-constrained environments. The primary objective of lightweight block ciphers is to provide encryption capabilities with minimal computational overhead and decreased power consumption. As a result, they are particularly well-suited for use on devices that have limited resources. Atthe same time, machine learning methodologies have evolved into powerful mechanisms for the purposes of prediction, categorization, and system optimization. This study introduces a challenges and issues involved in integrating machine learning techniques with the development of lightweight block ciphers.  \nThis is an open access article under the CC BY-SA license.  \nMahendra Shridhar Naik  \nDepartment of Electronics and Communication Engineering, New Horizon College of Engineering Kaadubeesanahalli, Bengaluru 560037 , India  \n[Email: mahendrasnaik@gmail.com](Email: mahendrasnaik@gmail.com)  \nArticle Info ABSTRACT  \n1. INTRODUCTION  \nThe rapid increase in the number of devices possessing diverse computational capabilities has had a profound impact on the digital environment in contemporary times. Low-constrained devices, which are frequently distinguished by their restricted computing capacity, memory, storage, and energy resources, are at the vanguard of this transformation [1] . These devices are integral elements of the internet of things (IoT), a conceptual framework in which tangible equipment, ranging from common household items to industrial machinery, are interconnected with the internet. This interconnection enables the provision of improved functions, automation, and intelligent decision-making capabilities [2] . The prevalence of low-constrained devices has significantly increased in a wide range of applications owing to their affordability, mobility, and capability to function effectively in conditions where conventional computing devices may not be practical [3] . Illustrative instances encompass wearable health monitoring, intelligent thermostats, and wireless sensor nodes deployed in agricultural areas. Nevertheless, the constrained resources of the aforementioned entities present obstacles in terms of performance, security, and optimal power consumption [4] . The IoT ecosystem leverages the functionalities of these devices, establishing an extensive interconnected network capable of generating, transmitting, and processing data. This enables the development of intelligent urban environments, greater healthcare surveillance, sophisticated industrial automation, and elevated user experiences across several domains. However, the increased interconnection also gives rise to apprehensions over security, privacy, and interoperability [5] . The increasing number of IoT devices and the expanding  \nnetwork of interconnected systems demand the implementation of security measures that are both effective and efficient. Not all gadgets within this ecosystem possess the privilege of ample computing power. Numerous embedded techn","cbCaiewVOKkoI5Qx","https://ap.wps.com/l/cbCaiewVOKkoI5Qx","pdf",463829,1,12,"English","en",105,"# Introduction\n## Lightweight cryptography and IoT security needs\n## Lightweight block ciphers and design challenges\n## Representative lightweight ciphers and motivation\n## Role of machine learning","[{\"question\":\"Why are lightweight block ciphers important for IoT networks?\",\"answer\":\"IoT and embedded devices often have limited computing, memory, storage, and energy, making standard cryptography expensive. Lightweight block ciphers target encryption with minimal overhead and lower power consumption.\"},{\"question\":\"What is the main goal of lightweight block ciphers?\",\"answer\":\"They aim to match the functionality of conventional block ciphers while using fewer resources and more efficient operations. The design seeks an effective balance between efficiency and security.\"},{\"question\":\"How does machine learning relate to the development of lightweight block ciphers?\",\"answer\":\"Machine learning can be used for prediction, categorization, and system optimization, and it helps address integration challenges in designing and validating lightweight cryptographic solutions.\"}]","Machine learning-based lightweight block ciphers for resource-constrained internet of things networks - a review | PDF",1785733246,30,{"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":86,"head_meta":88,"extra_data":90,"updated_unix":28},"machine-learning-based-lightweight-block-ciphers-for-resource-constrained-internet-of-things-networks-a-review","",{"@graph":36,"@context":85},[37,54,68],{"@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/machine-learning-based-lightweight-block-ciphers-for-resource-constrained-internet-of-things-networks-a-review/120998/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why are lightweight block ciphers important for IoT networks?","Question",{"text":75,"@type":76},"IoT and embedded devices often have limited computing, memory, storage, and energy, making standard cryptography expensive. Lightweight block ciphers target encryption with minimal overhead and lower power consumption.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What is the main goal of lightweight block ciphers?",{"text":80,"@type":76},"They aim to match the functionality of conventional block ciphers while using fewer resources and more efficient operations. The design seeks an effective balance between efficiency and security.",{"name":82,"@type":73,"acceptedAnswer":83},"How does machine learning relate to the development of lightweight block ciphers?",{"text":84,"@type":76},"Machine learning can be used for prediction, categorization, and system optimization, and it helps address integration challenges in designing and validating lightweight cryptographic solutions.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"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":29,"slug":121},"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"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":106,"slug":137},19,"General","general"]