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Research Anthology on Combating Denial-of-Service Attacks最新文献

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DDoS Attacks and Defense Mechanisms Using Machine Learning Techniques for SDN 基于SDN机器学习技术的DDoS攻击和防御机制
Research Anthology on Combating Denial-of-Service Attacks Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-0373-7.ch008
Rochak Swami, M. Dave, V. Ranga
{"title":"DDoS Attacks and Defense Mechanisms Using Machine Learning Techniques for SDN","authors":"Rochak Swami, M. Dave, V. Ranga","doi":"10.4018/978-1-7998-0373-7.ch008","DOIUrl":"https://doi.org/10.4018/978-1-7998-0373-7.ch008","url":null,"abstract":"Distributed denial of service (DDoS) attack is one of the most disastrous attacks that compromises the resources and services of the server. DDoS attack makes the services unavailable for its legitimate users by flooding the network with illegitimate traffic. Most commonly, it targets the bandwidth and resources of the server. This chapter discusses various types of DDoS attacks with their behavior. It describes the state-of-the-art of DDoS attacks. An emerging technology named “Software-defined networking” (SDN) has been developed for new generation networks. It has become a trending way of networking. Due to the centralized networking technology, SDN suffers from DDoS attacks. SDN controller manages the functionality of the complete network. Therefore, it is the most vulnerable target of the attackers to be attacked. This work illustrates how DDoS attacks affect the whole working of SDN. The objective of this chapter is also to provide a better understanding of DDoS attacks and how machine learning approaches may be used for detecting DDoS attacks.","PeriodicalId":417372,"journal":{"name":"Research Anthology on Combating Denial-of-Service Attacks","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124600829","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: 13
Zero-Crossing Analysis of Lévy Walks and a DDoS Dataset for Real-Time Feature Extraction lsamvy行走的过零分析及实时特征提取的DDoS数据集
Research Anthology on Combating Denial-of-Service Attacks Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-5348-0.ch021
J. D. T. Gonzalez, W. Kinsner
{"title":"Zero-Crossing Analysis of Lévy Walks and a DDoS Dataset for Real-Time Feature Extraction","authors":"J. D. T. Gonzalez, W. Kinsner","doi":"10.4018/978-1-7998-5348-0.ch021","DOIUrl":"https://doi.org/10.4018/978-1-7998-5348-0.ch021","url":null,"abstract":"A comparison between the probability similarities of a Distributed Denial-of-Service (DDoS) dataset and Lévy walks is presented. This effort validates Lévy walks as a model resembling DDoS probability features. In addition, a method, based on the Smirnov transform, for generating synthetic data with the statistical properties of Lévy-walks is demonstrated. The Smirnov transform is used to address a cybersecurity problem associated with the Internet-of-things (IoT). The synthetic Lévy-walk is merged with sections of distinct signals (uniform noise, Gaussian noise, and an ordinary sinusoid). Zero-crossing rate (ZCR) within a varying-size window is utilized to analyze both the composite signal and the DDoS dataset. ZCR identifies all the distinct sections in the composite signal and successfully detects the occurrence of the cyberattack. The ZCR value increases as the signal under analysis becomes more complex and produces steadier values as the varying window size increases. The ZCR computation directly in the time-domain is its most notorious advantage for real-time implementations.","PeriodicalId":417372,"journal":{"name":"Research Anthology on Combating Denial-of-Service Attacks","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131397564","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
Botnet Threats to E-Commerce Web Applications and Their Detection 僵尸网络对电子商务Web应用的威胁及其检测
Research Anthology on Combating Denial-of-Service Attacks Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-3646-8.CH003
Rizwan Ur Rahman, D. Tomar
{"title":"Botnet Threats to E-Commerce Web Applications and Their Detection","authors":"Rizwan Ur Rahman, D. Tomar","doi":"10.4018/978-1-5225-3646-8.CH003","DOIUrl":"https://doi.org/10.4018/978-1-5225-3646-8.CH003","url":null,"abstract":"Security issues in e-commerce web applications are still exploratory, and in spite of an increase in e-commerce application research and development, lots of security challenges remain unanswered. Botnets are the most malicious threats to web applications, especially the e-commerce applications. Botnet is a network of BOTs. It executes automated scripts to launch different types of attack on web applications. Botnets are typically controlled by one or more hackers known as Bot masters and are exploited for different types of attacks including Dos (denial of service), DDos (distributed denial of service), phishing, spreading of malware, adware, Spyware, identity fraud, and logic bombs. The aim of this chapter is to scrutinize to what degree botnets can cause a threat to e-commerce security. In the first section, an adequate overview of botnets in the context of e-commerce security is presented in order to provide the reader with an understanding of the background for the remaining sections.","PeriodicalId":417372,"journal":{"name":"Research Anthology on Combating Denial-of-Service Attacks","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134269219","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: 9
Denial of Service (DoS) Attacks Over Cloud Environment 云环境下的拒绝服务攻击
Research Anthology on Combating Denial-of-Service Attacks Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-5348-0.ch026
T. M., N. S, Sindhuja R
{"title":"Denial of Service (DoS) Attacks Over Cloud Environment","authors":"T. M., N. S, Sindhuja R","doi":"10.4018/978-1-7998-5348-0.ch026","DOIUrl":"https://doi.org/10.4018/978-1-7998-5348-0.ch026","url":null,"abstract":"Cloud computing is the fastest growing technology in today's world. Cloud services provide pay as go models on capacity or usage. For providing better cloud services, capacity planning is very important. Proper capacity planning will maximize efficiency and on the other side proper control over the resources will help to overcome from attacks. As the technology develops in one side, threats and vulnerabilities to security also increases on the other side. A complete analysis of Denial of Service (DOS) attacks in cloud computing and how are they done in the cloud environment and the impact of reduced capacity in cloud causes greater significance. Among all the cloud computing attacks, DOS is a major threat to the cloud environment. In this book chapter, we are going to discuss DOS attack in the cloud and its types, what are the tools used to perform DOS attack and how they are detected and prevented. Finally it deals with the measures to protect the cloud services from DOS attack and also penetration testing for DOS attack.","PeriodicalId":417372,"journal":{"name":"Research Anthology on Combating Denial-of-Service Attacks","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123962398","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
Malware Threat in Internet of Things and Its Mitigation Analysis 物联网中的恶意软件威胁及其缓解分析
Research Anthology on Combating Denial-of-Service Attacks Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-9742-1.CH016
S. Yamaguchi, B. Gupta
{"title":"Malware Threat in Internet of Things and Its Mitigation Analysis","authors":"S. Yamaguchi, B. Gupta","doi":"10.4018/978-1-5225-9742-1.CH016","DOIUrl":"https://doi.org/10.4018/978-1-5225-9742-1.CH016","url":null,"abstract":"This chapter introduces malware's threat in the internet of things (IoT) and then analyzes the mitigation methods against the threat. In September 2016, Brian Krebs' web site “Krebs on Security” came under a massive distributed denial of service (DDoS) attack. It reached twice the size of the largest attack in history. This attack was caused by a new type of malware called Mirai. Mirai primarily targets IoT devices such as security cameras and wireless routers. IoT devices have some properties which make them malware attack's targets such as large volume, pervasiveness, and high vulnerability. As a result, a DDoS attack launched by infected IoT devices tends to become massive and disruptive. Thus, the threat of Mirai is an extremely important issue. Mirai has been attracting a great deal of attention since its birth. This resulted in a lot of information related to IoT malware. Most of them came from not academia but industry represented by antivirus software makers. This chapter summarizes such information.","PeriodicalId":417372,"journal":{"name":"Research Anthology on Combating Denial-of-Service Attacks","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130499058","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: 14
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