Proceedings of the 2020 8th International Conference on Communications and Broadband Networking最新文献_第2页

Cryptographic Randomness Test of the Modified Hashing Function of SHA256 to Address Length Extension Attack 修改后的SHA256哈希函数对地址长度扩展攻击的密码随机性检验

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390540

Dan Michael A. Cortez, Ariel M. Sison, Ruji P. Medina

引用次数: 8

Quasi Analysis of Rainfall Prediction during Floods using Machine Learning 洪水期间降雨预测的机器学习拟分析

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390535

K. Bhargavi, G. Suma

引用次数: 1

Design of TCP Congestion Control in Data Center Networks Based on Stable Round Trip Time 基于稳定往返时间的数据中心网络TCP拥塞控制设计

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390528

Yi-Cheng Tsai, T. Hou, M. Chiu

引用次数: 0

Crytojacking Classification based on Machine Learning Algorithm 基于机器学习算法的密码劫持分类

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390537

Wan Nur Aaisyah Binti Wan Mansor, Azuan Ahmad, Wan Shafiuddin Zainudin, M. Saudi, M. Kama

{"title":"Crytojacking Classification based on Machine Learning Algorithm","authors":"Wan Nur Aaisyah Binti Wan Mansor, Azuan Ahmad, Wan Shafiuddin Zainudin, M. Saudi, M. Kama","doi":"10.1145/3390525.3390537","DOIUrl":"https://doi.org/10.1145/3390525.3390537","url":null,"abstract":"The rise of cryptocurrency has resulted in a number of concerns. A new threat known as cryptojacking\" has entered the picture where cryptojacking malware is the trend for future cyber criminals, who infect computers, install cryptocurrency miners, and use stolen information from victim databases to set up wallets for illicit funds transfers. Worst by 2020, researchers estimate there will be 30 billion of IoT devices in the world. Majority of the devices are highly vulnerable to simple attacks based on weak passwords and unpatched vulnerabilities and poorly monitored. Thus it is the best projection that IoT become a perfect target for cryptojacking malwares. There are lacks of study that provide in depth analysis on cryptojacking malware especially in the classification model. As IoT devices requires small processing capability, a lightweight model are required for the cryptojacking malware detection algorithm to maintain its accuracy without sacrificing the performance of other process. As a solution, we propose a new lightweight cryptojacking classifier model based on instruction simplification and machine learning technique that can detect the cryptojacking classification algorithm. This research aims to study the features of existing cryptojacking classification algorithm, to enhanced existing algorithm and to evaluate the enhanced algorithm for cryptojacking malware classification. The output of this research will be significant used in detecting cryptojacking malware attacks that benefits multiple industries including cyber security contractors, oil and gas, water, power and energy industries which align with the National Cyber Security Policy (NCSP) which address the risks to the Critical National Information Infrastructure (CNII).","PeriodicalId":201179,"journal":{"name":"Proceedings of the 2020 8th International Conference on Communications and Broadband Networking","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133346316","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: 1

MOOCs

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.4135/9781483381503.n783

M. Mahmud, Shiau Foong Wong, M. S. A. Bakar

引用次数: 0

Data-Aided Color Shift Keying Transmission for LCD-to-Smartphone Optical Camera Communication Links lcd到智能手机光学相机通信链路的数据辅助色移键控传输

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390534

A. Pepe, S. Kumar, Zixian Wei, Hongyan Fu

引用次数: 2

An Quick Available-Bandwidth Measurement Method Based on Link Delay Growth Rate 一种基于链路延迟增长率的可用带宽快速测量方法

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 2020-04-15 DOI: 10.1145/3390525.3390531

Junzheng Shi, Qingya Yang, Gaopeng Gou, G. Xiong

引用次数: 2

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking 2020年第八届通信与宽带网络国际会议论文集

Proceedings of the 2020 8th International Conference on Communications and Broadband Networking Pub Date : 1900-01-01 DOI: 10.1145/3390525

引用次数: 0