2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)最新文献_第6页

Multi-layer Approach to Internet of Things (IoT) Security 物联网(IoT)安全的多层方法

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00023

Yusuf Muhammad Tukur, D. Thakker, I. Awan

{"title":"Multi-layer Approach to Internet of Things (IoT) Security","authors":"Yusuf Muhammad Tukur, D. Thakker, I. Awan","doi":"10.1109/FiCloud.2019.00023","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00023","url":null,"abstract":"The Internet of Things (IoT) is a huge, global, distributed network of interlinked heterogeneous devices armed with embedded sensors, actuators and processors enabling them to connect to the internet, exchange data, communicate and interact seamlessly with one another in real time. It enjoys wide range of applications where it holds important data, hence becoming exposed to varying degrees of security and privacy threats which require careful architectural design to address. Consequently, we present in this paper a multi-layer security aware IoT architecture that aims to secure the entire system by providing security at all layers to ensure secure data collection, transfer, analysis, storage and usage. That is necessary because each layer of the IoT has vulnerabilities and a successful attack on any layer can have far-reaching impact on the whole system. We then proposed a novel security algorithm to protect the IoT system against Denial of Service (DoS) attacks at the application layer, the weakest link in IoT. The algorithm logs record of user activities and actions at given times of the day which it employs to regulate access and prevent DoS attacks. Finally, we evaluated our proposed approach against IoT security and privacy requirements, and it demonstrated better level of security.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125332275","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

Packet Routing Based on Integral Normalized Criterion 基于积分归一化准则的分组路由

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00064

M. Greguš, O. Liskevych, K. Obelovska, Roman S. Panchyshyn

引用次数: 2

The Audio-Visual Arabic Dataset for Natural Emotions 阿拉伯语自然情感视听数据集

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00054

Ftoon Abu Shaqra, R. Duwairi, M. Al-Ayyoub

引用次数: 8

Ransomware Prediction Using Supervised Learning Algorithms 使用监督学习算法预测勒索软件

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00016

Umaru Adamu, I. Awan

{"title":"Ransomware Prediction Using Supervised Learning Algorithms","authors":"Umaru Adamu, I. Awan","doi":"10.1109/FiCloud.2019.00016","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00016","url":null,"abstract":"Malware has become most popular attack vector, among which ransomware remained a threat to individuals and organisations. Ransomware main objectives is extortion by imposing some form of denial of service to either the system or system resources such as files until ransom is paid. This make ransomware different from conventional malware that seek to replicate, delete files, exhilarate data or extensively consume system resources. Unfortunately, detection approaches such as sandboxes analysis and pipelines are inadequate due to lack of luxury of being able to isolate a sample to analyse, and when this occurs is already too late for several users.Therefore, machine learning as prove its efficiency and has been used in research for malware detection. In this paper, we explore machine learning algorithms in ransomware detection. Specifically, the data set used contains 30,000 attributes which is to be use as independent variables to predict ransomware.However, since is difficult to incorporate all the attribute in the analysis, we therefore results to use five attribute to serves a proof of concept for feature selection. Then, after feature selection, we apply support vector machine algorithm of which RMSE of 0.179 was obtained and classifying ransomware with 88.2% accuracy. The Support Vector Machine has high performance in detection and classifying ransomware when compare to other machine learning classifier.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134128323","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: 22

From the Edge to the Cloud: Enabling Reliable IoT Applications 从边缘到云:实现可靠的物联网应用

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00011

Cristian Martín, Daniel Garrido, M. Díaz, B. Rubio

引用次数: 8

Bazaar-Contract: A Smart Contract for Binding Multi-Round Bilateral Negotiations on Cloud Markets Bazaar-Contract:绑定云市场多轮双边谈判的智能合约

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00028

Benedikt Pittl, Stefan Starflinger, W. Mach, E. Schikuta

{"title":"Bazaar-Contract: A Smart Contract for Binding Multi-Round Bilateral Negotiations on Cloud Markets","authors":"Benedikt Pittl, Stefan Starflinger, W. Mach, E. Schikuta","doi":"10.1109/FiCloud.2019.00028","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00028","url":null,"abstract":"Amazon's EC2 On-Demand marketspace is the dominant platform for trading Cloud services such as virtual machines. On such platforms consumers and providers do not negotiate with each other. Instead, consumers purchase predefined virtual machines at fixed-prices and so this approach is also termed take-it-or-leave-it approach. In the last years more dynamic platforms emerged such as Amazon's spot marketspace which was relaunched at the end of 2017 - here consumers can bid for virtual machines. The recent efforts of Amazon and other Cloud providers such as VirtuStream show that dynamic trading mechanisms are a promising approach for realizing future Cloud markets. Hence, multi-round bilateral negotiations which are executed autonomously have gained popularity in the scientific community. A key challenge towards the adoption of autonomous multi-round bilateral negotiations is to ensure the integrity and transparency so that the generated agreements are legally biding. In the paper at hand we present an approach which uses a smart contract - called Bazaar-Contract - to ensure integrity and transparency during multi-round bilateral negotiations. Thereby, consumers and providers exchange offers by calling methods of the Bazaar-Contract. Moreover, Cloud referees can use these Bazaar-Contracts in order to manage penalties resulting from poor service quality. In order to prove the technical feasibility of our approach we implemented the Bazaar-Contract using Ethereum and the Inter-Planetary File System. We evaluate the economical feasibility of our approach by considering the gas costs.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114328125","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

AL and S Methods: Two Extensions for L-Method AL和S方法:l -方法的两种扩展

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00061

M. Antunes, Henrique Aguiar, D. Gomes

引用次数: 2

Vehicular Sinks Over Wide Area Wireless Sensor Networks for Telemetry Applications in Logistics 基于广域无线传感器网络的车辆水槽在物流中的遥测应用

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00021

N. Zingirian, Mattia Dalla Via

引用次数: 0

Anonymous IoT Mutual Inter-Device Authentication Scheme Based on Incremental Counter (AIMIA-IC) 基于增量计数器的物联网设备间匿名认证方案(AIMIA-IC)

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00013

M. Alshahrani, I. Traoré, I. Woungang

{"title":"Anonymous IoT Mutual Inter-Device Authentication Scheme Based on Incremental Counter (AIMIA-IC)","authors":"M. Alshahrani, I. Traoré, I. Woungang","doi":"10.1109/FiCloud.2019.00013","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00013","url":null,"abstract":"Cyber attackers are shifting their attention from traditional computers to IoT devices for malignant activities like exposing smart homeowner private information and/or to launch botnet attacks. Like for conventional networks, the security of IoT networks rests on how properly the authentication process is done. However, unlike conventional networks, IoT infrastructure faces an uphill battle in deploying and operating strong authentication schemes because of inherent limitations on the underlying storage and computation capability. In this paper, we propose a new anonymous mutual Inter-device authentication protocol based on transient identities, incremental counter and temporary secret keys for IoT. The proposed protocol is based on symmetric cryptography and somehow follows the ZigBee protocol. It allows IoT devices to anonymously and mutually authenticate in an unlinkable and untraceable manner, and implements essential security requirements for IoT devices. By analyzing the protocol, we evaluate and demonstrate its efficiency and its relatively limited computational and storage overhead. Furthermore, the security of the protocol is assured through informal security analysis and formally by using the automated validation of Internet security protocols and applications (AVISPA) toolkit.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132150970","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: 2

In-Video Game Player's Behavior Measurement using Big Five Personal Traits 基于五大个人特征的电子游戏玩家行为测量

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2019-08-01 DOI: 10.1109/FiCloud.2019.00052

Muhannad Quwaider, Abdullah Alabed, R. Duwairi

{"title":"In-Video Game Player's Behavior Measurement using Big Five Personal Traits","authors":"Muhannad Quwaider, Abdullah Alabed, R. Duwairi","doi":"10.1109/FiCloud.2019.00052","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00052","url":null,"abstract":"The propagation of video games in the previous years has led to the emergence of new areas associated with the video game industry. One of these areas is exploring the emotions and the behaviors of players after playing a specific game within a controlled environment such as a computer lab. In this paper, we will introduce a new way of analyzing the emotions and the behavior of players outside a controlled environment and using in-game data rather than using traditional questionnaires and interviews. The proposed system is expected to be part of future Internet of Things (IoT) application that is needed for human interaction. We will analyze the player's personality using in-game data. The data is generated and collected using mobile developed video game. Then, the collected data is evaluated using a well-known personality traits model called big Five-Factor Model (FFM). In order to create a set of appropriate scenarios to analyze the player's personality based on FFM we developed a First Person Shooter (FPS) video game. Using this game, we managed to generate and collect in-game data from hundreds of people. The results show that it was able to study the player's behavior over FFM traits. It was shown that the FFM traits scores are improved by repeating the game.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125022222","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: 2