ENGINEERING RESEARCH PAPERS

ddos-Distributed Denial of Service IEEE PAPER 2017




DDos Defense: Enhanced Flooding Detection and Confidence-Based Filtering Method
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Abstract Distributed Denial of Service (DDoS) attack is a critical threat to the Web-based and Client-Server applications and resource allocation to defense the DDoS attack has become a major challenge. To overcome these challenges, in this paper we proposed a HTTP GET

1000 days of UDP amplification DDoS attacks
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Abstract Distributed Denial of Service (DDoS) attacks employing reflected UDP amplification are regularly used to disrupt networks and systems. The amplification allows one rented server to generate significant volumes of data, while the reflection hides the

Spending on Health by Levels of Care for National Health Accounts: An Illustration of Use of Data on Withdrawals by Drawing and Disbursing Officers (DDOs)
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Abstract This paper illustrates the use of information on withdrawals by Drawing and Disbursing Officers (DDOs) for improving estimates of public spending for National Health Accounts (NHAs) in India. Using information from two selected States (Karnataka and

A Cost-Effective Shuffling-Based Defense against HTTP DDoS Attacks with SDN/NFV
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Abstract Software-Defined Networking and Network Function Virtualisation (SDN/NFV) can provide flexible resource allocation to support innovative security solutions in a central manner. To mitigate HTTP DDoS attacks, shuffling-based moving target defense has been

DDoS Attacks, Detection Parameters and Mitigation in Cloud Environment
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Cloud computing refers to providing on demand services and computing resources via Internet. The cloud environment has many security challenges among which DDoS attcks have maximum priority. Within Cloud Security issues being dominant for the private

Critical Infrastructure Network DDoS Defense, via Cognitive Learning
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Abstract Some public and private services are called part of the Critical Infrastructure (CI), which are considered as the most important services to protect the functioning of a society and the economy. Many CIs provide services via the Internet and thus cyber-attacks can be

Characterization and Comparison of DDoS Attack Tools and Traffic Generators: A Review.
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Abstract Distributed Denial of Service (DDoS) attack imposes a severe threat to the extensively used Internet based services like e-commerce, e-banking, transportation, medicine, education etc. Hackers compromises the vulnerable systems for launching DDoS

Detection and Defense Algorithms of Different Types of DDoS Attacks
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Abstract Nowadays, computer network is very important because of the many advantages it has. However, it is also vulnerable to a lot of threats from attackers and the most common of such attack is the Distributed Denial of Service (DDoS) attack. This paper presents an

DDoS Attack Detection Using Unique Source IP Deviation.
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Abstract In this paper we present a low cost yet robust DDoS detection method to identify all classes of DDoS attacks. Our method attempts to detect DDoS attack by monitoring the deviation of the count of unique source IPs and the count of source IPs whose transmission

A Mechanism for Prevention of Flooding based DDoS Attack
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Abstract Flooding Attack threatens among all the flavors of DDoS (Distributed Denial of Service) causing deadliest impact in a network/Internet. As the ability of DDoS, it doesnt need to have much computational efforts to target the destination servers and networks.

Discriminating Flash Events from DDoS Attacks: A Comprehensive Review.
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Abstract Millions of people across the globe access Internet-based applications and web services in their day to day activities. Distributed Denial of Service (DDoS) attack is one of the prominent attacks that cripple down the computing and communication resources of a

Detection of Wormhole, Blackhole and DDOS Attack in MANET using Trust Estimation under Fuzzy Logic Methodology
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Abstract Mobile ad-hoc communication is a spontaneous network because the topology is not stationary but self-organized. This requires that during the time MANET it operational, all the processes regarding discovering the topology, delivery of data packets and internal

An Efficient DDoS Attack Detection Mechanism Based on Distributed Self Organizing Map
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Abstract Even in the era of 5G and beyond networks, we are struggling against an old problem, DoS (Denial of Service) attack which has arisen since the beginning of network. Since it is still the biggest threat of all cyber-attacks and it is growing more complex, there

Handling DDOS attacks in Cloud Computing based on SDM System
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ABSTRACT Distributed Denial Of Service (DDoS) attacks in cloud computing environments are growing due to the essential characteristics of cloud computing. With recent advances in Software Defined Networking (SDN), SDN-based cloud brings us new chances to defeat

Techniques to Detect DoS and DDoS Attacks and an Introduction of a Mobile Agent System to Enhance it in Cloud Computing.
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Abstract Security in cloud computing is the ultimate question that every potential user studies before adopting it. Among the important points that the provider must ensure is that the Cloud will be available anytime the consumer tries to access it. Generally, the Cloud is

Distributed Denial of Service (DDOS) Attack Detection in Software Defined Networking with Cloud Computing
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Abstract: Cloud computing has almost swept the IT industry replacing the enterprises traditional computing. With the recent developments in cloud computing has also grown the threats to the security of cloud services and data. Amongst the many security issues, DDoS

Early Detection of DDoS Attacks in a Multi-Controller Based SDN
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Abstract: Networks used to depend on hardware devices which have the control and data plane in a single plane. This made networks susceptible to failure because if the hardware fails the network stops. This is the reason software defined network structure has come into Abstract. The term of online attacks appeared in public space in the area of computer networks long ago. The effects of these actions can be difficult to rectify and also very expensive. For early detection of such attacks, one can use different methods to analyze the

Poster: A DDoS Peak Traffic Volume Prediction Method Based on Machine Learning
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Abstract DDoS defense nowadays relies on expensive and proprietary hardware appliances. When a massive attack begins, improper choices such as choosing fewer appliances or those without enough capacity may lead to more severe damage. As the

Application Layer DDOS Attack: A Big Threat
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Abstract Internet was intended with functionality and not Security in mind. For this reason, its architecture has some intrinsic weaknesses and bugs called vulnerability which results in successful origin of DDOS attacks. Over the time, researchers proposed many solutions to

Poster: Mitigation of DDoS Attacks in 5G Networks: a Bio-inspired Approach
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Abstract Distributed Denial of Service (DDoS) attacks pose a threat in constant growth. This paper addresses their mitigation by introducing a novel Artificial Immune Systems (AIS) supported by new generation technologies. The approach is based on building networks of

A SURVEY ON SEQUENCE NUMBER ENCODING TO MITIGATE DOS/DDOS ATTACKS IN CLOUD ENVIRONMENT
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Abstract: A literature survey on In the present world of information technology, Cloud computing is considered the best option for information storage permanently in the third party cloud servers and cached temporarily on clients. This technology represents both, an

PREVENTION OF VULNERABILITY ON DDOS ATTACKS TOWARDS WIRELESS NETWORKS
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Abstract The Distributed Denial-of-Service (DDoS) attack is a serious threat to the legitimate use of the Internet. Prevention mechanisms are thwarted by the ability of attackers to forge or spoof the source addresses in IP packets. By employing Flooding, attackers can evade

Secure Double-layered Defense against HTTP-DDoS Attacks
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Abstract A major cyber-security concern to date for webservers are Distributed Denial of Service (DDoS) attacks. Previously we proposed a novel overlay-based method consisting of distributed network of public servers (PS) for preparation, and access nodes (AN) for

A Group Controlled Analysis Model DDOS Attack Detection And Prevention In VANET
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Abstract A vehicle network is the critical network with combined features of mobile and sensor network. The heavy traffic and the infrastructure specification increases the chances of DOS attack in the network. In this work, dynamic group based model is provided to

Cluster Based DDoS Detection Method in Data Mining
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By adopting new purpose built solutions designed specifically to detect and defeat DDoS attacks, businesses can keep their business operation running smoothly. Data mining algorithm is used presents a DDoS attack detection model. Experimental result source that

A SECURED MECHANISM TO PREVENT THE VULNERABLITIES ON DDOS ATTACK TOWARDS WIRELESS NETWORKS
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Abstract The Distributed Denial-of-Service (DDoS) attack is a serious threat to the legitimate use of the Internet. Prevention mechanisms are thwarted by the ability of attackers to forge or spoof the source addresses in IP packets. By employing Flooding, attackers can evade

DDoS Event Forecasting using Twitter Data
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Abstract Distributed Denial of Service (DDoS) attacks have been significant threats to the Internet. Traditional research in cyber security focuses on detecting emerging DDoS attacks by tracing network package flow. A characteristic of DDoS defense is that rescue time is

Traceback of DDoS attack using Entropy Variation
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Abstract Distributed Denial-of-Service (DDoS) attacks have become a critical threat to the Internet. However, the feature of the Internet routing mechanisms makes it difficult to trace back to the sources of these attacks. As a result, there is less effective and efficient method to

XDP in practice: integrating XDP into our DDoS mitigation pipeline
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Abstract To absorb large DDoS (distributed denial of service) attacks, the Cloudflare DDoS mitigation team has developed a solution based on kernel bypass and classic BPF. This allows us to filter network packets in userspace, skipping the usual packet processing done

RE EVOLUTION AND DETECTION OF DOS AND DDOS ATTACK FOR ORGANIZED WSN: A REVIEW
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Abstract: This paper demonstrates denial of service (DoS) attacks and DDoS attack in computer networks. The goal of these attacks is to prevent availability of network services from their legitimate users. This dissertation presents a structured view on possible attack

Taxonomy of DDoS Attacks
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Abstract-DDoS attacks are attacks that use multiple compromised systems to attack target in order to make service they provide unavailable for legitimate user. Those kind of attacks are popular and one of the hardest problems of computer security today. The reason this is

Early Signals from Volumetric DDoS Attacks: An Empirical Study
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Abstract Distributed Denial of Service (DDoS) is a common type of Cybercrime. It can strongly damage a company reputation and increase its costs. Attackers improve continuously their strategies. They doubled the amount of unleashed communication

DDoS Attack Mitigation in Internet of Things Using Software Defined Networking
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Abstract Securing Internet of Things (IoT) systems is a challenge because of its multiple points of vulnerability. A spate of recent hacks and security breaches has unveiled glaring vulnerabilities in the IoT. Due to the computational and memory requirement constraints

TITLE: SPOOFING, DOS, DDOS ATTACKS ON A Z-WAVE HOME AUTOMATION SYSTEM 3/8/2017
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Home automation is an IoT application area that uses sensors for data collection and protocols like Zigbee and/or Z-Wave for communication. The proliferation of Z-Wave devices poses information security challenges such as a hacked z-wave door lock, due to a protocol

Discriminative Classification Models for Internet Security: Mitigating Email Spam and HTTP-Layer DDoS Attacks
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Abstract Services that operate over the Internet are under constant threat of being exposed to fraudulent use. Maintaining good user experience for legitimate users often requires the classification of entities as malicious or legitimate in order to initiate countermeasures. As an

THRESHOLD CONGESTION DETECTION VICTIMIZATION PROTEA IN DDOS
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Abstract This analysis paper implements congestion detection victimization protea against DDoS attack. In initial level to notice congestion causation attack. Therein massive attacks area unit detected early within the border router within the transit network before converge at

DDoS Attacks on Cloud Access
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ABSTRACT Intrusion detection system (IDS) and firewall, monitoring network activities at gateway level. Hacker may facilitate cloud computing to launch larger range of attack, such as a request of port scan in cloud with multiple virtual machines executing such malicious

APPLICATION-LAYER DDOS DETECTION BASED ON A ONE-CLASS SUPPORT VECTOR MACHINE
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ABSTRACT Application-layer Distributed Denial-of-Service (DDoS) attack takes advantage of the complexity and diversity of network protocols and services. This kind of attacks is more difficult to prevent than other kinds of DDoS attacks. This paper introduces a novel detection

A SYSTEMATIC APPROACH TO DETECT AND DEFEND DDOS ATTACKS IN CLOUD
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Abstract Cloud computing delivers various services through the Internet, which meets the demands of different devices. Trending in different way cloud uses the concept of virtualization which drags different platforms, resources, softwares, etc. into a single window.

A NOVEL TECHNIQUE OF DETECTION DDOS AND DOS ATTACK THROUGH VARIABLE ENERGY ANALYSIS IN WSN: A FINAL RESEARCH
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Abstract: In this paper a new scheme early detection of DDoS attack in WSN has been introduced for the detection of DDoS attack. It will detect the attack on early stages so that data loss can be prevented and more energy can be reserved after the prevention of attacks.

IMPACT OF DDOS ATTACK ON WIRELESS NETWORKS: A SURVEY
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ABSTRACT An ad-hoc network is a collection of functional nodes with communication framework established for temporary motive. It is very useful in emergency and military situations. Wireless sensor network is a special network which has resource limitations and

Prevention Mechanisms of DDoS Attacks: A Critical
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Abstract In the world of electronics and computer Denial of Service (DoS) occurrences is one of the hardest and the chief threat as per security issues are concern. Distributed Denial of Service (DDoS) is also one of the chief threats which can impact proportionally over internet.

ASSESSMENT OF THE VULNERABILITY OF THE APACHE SERVER TO DDOS ATTACKS
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The article presents an analysis of the vulnerability of the Apache server with regard to common DDoS attacks. The paper begins with presenting the statistical overview of the issue of denial-of-service attacks. We also discuss the methods used for performing DDoS

DDoS ATTACK
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It is a kind of DOS attack, where many computers are infected by unknown Trojan and compromised with their security. This infection targets used to attack the services of a system. This is known as a denial of services. In DDOS attack both the source and target Abstract Software Defined Network (SDN) facilitates network programmers with easier network monitoring, identification of anomalies, instant implementation of changes, central control to the whole network in a cost effective and efficient manner. These features could be

A Markov Model of IoT System Availability Considering DDos Attacks and Energy Modes of Server and Router
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Abstract. Internet of things (IoT) gets more spread, and large number of smart things are connect to the Internet. In this regard, increases energy consumption. The devices of the IoT can be affected by special attacks on the power supply system, DDos attacks, spy attacks.

Reducing DDOS Attack Techniques in Cloud Computing Network Technology
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Abstract: In cloud computing technology is most wanted in Information Technology and business organization. Network security is most important role in this technology. The security is one of the major issues, which reduce the growth of cloud computing resources

Scalable Bandwidth Allocation Based on Domain Attributes: Towards a DDoS-Resistant Data Center
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Abstract As the flourishing of cloud services, data centers are widely invested and deployed. However, facing the hazard of Distributed Denial of Service (DDoS) attacks, legitimate users bandwidth access to a data center is not yet a guarantee. In response,

DDoS Attack on Cloud Auto-scaling Mechanisms
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Abstract Auto-scaling mechanisms are an important line of defense against Distributed Denial of Service (DDoS) in the cloud. Using auto-scaling, machines can be added and removed in an on-line manner to respond to fluctuating load. It is commonly believed that the

Low-Rate DDoS Attack Detection Using Expectation of Packet Size
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Abstract Low-rate Distributed Denial-of-service (low-rate DDoS) attacks are a new challenge to cyberspace, as the attackers send a large amount of attack packets similar to normal traffic, to throttle legitimate flows. In this paper, we propose a measurement-Expectation of

Linking Amplification DDoS Attacks to Booter Services
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Abstract. We present techniques for attributing amplification DDoS attacks to the booter services that launched the attack. Our k-Nearest Neighbor (k-NN) classification algorithm is based on features that are characteristic for a DDoS service, such as the set of reflectors

Booted: An Analysis of a Payment Intervention on a DDoS-for-Hire Service
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ABSTRACT Distributed Denial of Service (DDoS) attacks have become a growing threat that, to a large extent, have become commoditized by DDoS-for-hire, or booter , services. In this case study, we analyze leaked fine-grain ground truth data from a larger booter

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