Journal of Discrete Mathematical Sciences and Cryptography最新文献_第5页

A hybrid methodology with learning based approach for protecting systems from DDoS attacks 保护系统免受DDoS攻击的混合方法和基于学习的方法

Journal of Discrete Mathematical Sciences and Cryptography Pub Date : 2023-01-01 DOI: 10.47974/jdmsc-1747

G. Ramesh, Venkata Ashok K Gorantla, Venkataramaiah Gude

{"title":"A hybrid methodology with learning based approach for protecting systems from DDoS attacks","authors":"G. Ramesh, Venkata Ashok K Gorantla, Venkataramaiah Gude","doi":"10.47974/jdmsc-1747","DOIUrl":"https://doi.org/10.47974/jdmsc-1747","url":null,"abstract":"Distributed Denial of Service (DDoS) attacks still prevailing in Internet based and cloud based applications. To detect such attacks and mitigate their effect, many approaches came into existence. There are signature based methods, metrics based methods and machine learning (ML) based methods. With the availability of training data, ML based solutions, of late, became popular. However, there is need for evaluation of different ML models for real time usage in distributed applications. We proposed a ML based framework that has mechanisms, including feature selection, to have supervised learning for threat detection. The framework enables workflow required to pre-process data, select essential features, train ML classifiers and detect the DDoS attack and classify it. We also proposed an algorithm known as DDoS Attack Detection for Critical Services Protection (DAD-CSP) that takes dataset and ML pipeline as input, exploits the ML models and evaluates them. Feature selection has resulted in dimensionality reduction for improving quality in training. The ML models such as Decision Tree, Naïve Bayes and Random Forest showed different capabilities in attack classification. RF exhibited highest performance with 92% accuracy when compared with other two models.","PeriodicalId":193977,"journal":{"name":"Journal of Discrete Mathematical Sciences and Cryptography","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135355352","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

Blockchain enabled security mechanism for preventing data forgery in IoT-based smart homes 区块链支持的安全机制，防止基于物联网的智能家居数据伪造

Journal of Discrete Mathematical Sciences and Cryptography Pub Date : 2023-01-01 DOI: 10.47974/jdmsc-1769

Arjun Singh, Surbhi Chauhan, Shashi Kant Dargar, Sumegh Tharewal, Vitthal Sadashiv Gutte, Pradeep Kumar Tiwari, Sonam Gupta

{"title":"Blockchain enabled security mechanism for preventing data forgery in IoT-based smart homes","authors":"Arjun Singh, Surbhi Chauhan, Shashi Kant Dargar, Sumegh Tharewal, Vitthal Sadashiv Gutte, Pradeep Kumar Tiwari, Sonam Gupta","doi":"10.47974/jdmsc-1769","DOIUrl":"https://doi.org/10.47974/jdmsc-1769","url":null,"abstract":"Conventional homes have grown to be smart homes (SM) with the assistance of the Internet of Things (IoT). A unified gateway connects all Internet-enabled devices. Those gateways need to be secured by the usage of a sturdy safety method due to the fact safety is very vital. In order to conquer those problems, this observation shows employing Blockchain Technology (BC) for secured houses to make certain information private and safe. To cope with the safety problem with SH gateways, this paper proposes a solution. A reliable Q-learning algorithm with Blockchain assistance is proposed for the SH gateway to save data. three sections make up the protocol Q Learning Algorithm with Blockchain Support (QLABS). First, a Lattice cryptosystem based on Cipolla’s extended Euclidean distance algorithm is used to record and store user data (CEED-LC). Second, while preserving data secrecy and integrity, the proposed cryptosystem offers a small Key Generation (KG) with excellent security. Third, with the assistance of QLABS protocol agreement, the blocks are created with a specific gateway enrolment-ID. The testing results demonstrate how highly safe the suggested framework is against the vulnerabilities by obtaining a higher throughput along with a higher Packet Delivery Ratio (PDR) value. The results show that the recommended approach tops other existing algorithms in terms of PDR and throughput.","PeriodicalId":193977,"journal":{"name":"Journal of Discrete Mathematical Sciences and Cryptography","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135355614","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

Encryption and decryption of a word into weighted graph using super-edge anti-magic total labeling of Bi-star graph 利用双星图的超边反幻全标记将一个词加解密为加权图

Journal of Discrete Mathematical Sciences and Cryptography Pub Date : 2023-01-01 DOI: 10.47974/jdmsc-1752

R. Jegan, P. Vijayakumar, V. D. Ambethkumar, Pa Vijay, Edeh Michael Onyema

引用次数: 0

A landscape view of news recommendation systems based on MIND dataset 基于MIND数据集的新闻推荐系统全景图

Journal of Discrete Mathematical Sciences and Cryptography Pub Date : 2023-01-01 DOI: 10.47974/jdmsc-1617

Niran A. Abdulhussein, Ahmed J. Obaid

引用次数: 0

J-Prime submodules and some related concepts j -素数子模块及相关概念

Journal of Discrete Mathematical Sciences and Cryptography Pub Date : 2023-01-01 DOI: 10.47974/jdmsc-1630

Iman A. Athab, Nuhad S. Al-Mothafar

引用次数: 1