This document discusses DDoS attacks in software defined networks. It begins with an overview of SDN architecture and its vulnerabilities. It then describes different types of DDoS attacks, categorizing them as attacks on the data plane or control plane. Volumetric attacks aim to overwhelm the victim with traffic, while protocol exploitation attacks exhaust system resources. The document reviews approaches for detecting and mitigating DDoS attacks in SDN, such as using thresholds to detect sudden traffic increases or inspecting packets for abnormal values. Machine learning algorithms can also be used to classify packets and detect attacks. Specific studies that implemented detection and mitigation techniques using SDN controllers and tools are also summarized.
IRJET- Software Defined Network: DDOS Attack DetectionIRJET Journal
This document discusses software defined networks (SDNs) and detecting distributed denial-of-service (DDoS) attacks in SDNs. It provides background on SDN architecture and how DDoS attacks work. The paper aims to address risks of DDoS attacks in SDNs and focuses on detection. It describes existing DDoS attack techniques and solutions. The document proposes using algorithms like TCM-KNN and DPTCM-KNN for detection of attacks in network traffic flows, and compares the two algorithms using parameters like packet length and response time.
Preventing Distributed Denial of Service Attacks in Cloud Environments IJITCA Journal
Distributed-Denial of Service (DDoS) is a key intimidation to network security. Network is a group of
nodes that interrelate with each other for switch over the information. This information is necessary for
that node is reserved confidentially. Attacker in the system may capture this private information and
distorted. So security is the major issue. There are several security attacks in network. One of the major
intimidations to internet examine is DDoS attack. It is a malevolent effort to suspending or suspends
services to destination node. DDoS or DoS is an effort to create network resource or the machine is busy to
its intentional user. Numerous thoughts are developed for avoid the DDoS or DoS. DDoS occur in two
different behaviors they may happen obviously or it may due to some attackers .Various schemes are
developed defense against to this attack. The Main focus of paper is present basis of DDoS attack, DDoS
attack types, and DDoS attack components, intrusion prevention system for DDoS.
IRJET- Detection of Distributed Denial-of-Service (DDos) Attack on Software D...IRJET Journal
This document discusses detecting distributed denial-of-service (DDoS) attacks on software defined networks (SDNs). It first provides background on SDNs and DDoS attacks. It then reviews related research on DDoS detection methods for SDNs. The document evaluates these methods based on results using the KDD99 dataset in a simulated SDN environment. It finds that the Double P-value of Transductive Confidence Machines for K-Nearest Neighbors (DPTCM-KNN) method achieved the highest true positive rate and lowest false positive rate, making it the most efficient approach for detecting anomalous flows in SDNs.
This document summarizes a research paper that evaluates the performance of Byzantine flood rushing attacks in ad hoc networks. The paper implements a flood rushing attack in an AODV-enabled ad hoc network using a network simulator. It analyzes the effects of the attack on network throughput, latency, and packet delivery ratio. The results show that as more adversarial nodes carry out the flood rushing attack, the network throughput decreases and latency increases, degrading network performance.
International Journal of Computational Science and Information Technology (I...ijcsity
Denial of Service (DoS) or Distributed-Denial of Service (DDoS) is major threat to network security.Network is collection of nodes that interconnect with each other for exchange the Information. This information is required for that node is kept confidentially. Attacker in network computer captures this information that is confidential and misuse the network. Hence security is one of the major issues. There are one or many attacks in network. One of the major threats to internet service is DDoS (Distributed denial of services) attack. DDoS attack is a malicious attempt to suspending or interrupting services to target node. DDoS or DoS is an attempt to make network resource or the machine is unavailable to its intended user. Many ideas are developed for avoiding the DDoS or DoS. DDoS happen in two ways
naturally or it may due to some botnets .Various schemes are developed defense against to this attack.Main idea of this paper is present basis of DDoS attack. DDoS attack types, DDoS attack components,survey on different mechanism to prevent DDoS.
A REVIEW ON DDOS PREVENTION AND DETECTION METHODOLOGYijasa
Denial of Service (DoS) or Distributed-Denial of Service (DDoS) is major threat to network security.
Network is collection of nodes that interconnect with each other for exchange the Information. This
information is required for that node is kept confidentially. Attacker in network computer captures this
information that is confidential and misuse the network. Hence security is one of the major issues. There
are one or many attacks in network. One of the major threats to internet service is DDoS (Distributed
denial of services) attack. DDoS attack is a malicious attempt to suspending or interrupting services to
target node. DDoS or DoS is an attempt to make network resource or the machine is unavailable to its
intended user. Many ideas are developed for avoiding the DDoS or DoS. DDoS happen in two ways
naturally or it may due to some botnets .Various schemes are developed defense against to this attack.
Main idea of this paper is present basis of DDoS attack. DDoS attack types, DDoS attack components,
survey on different mechanism to prevent DDoS
This document describes a proposed SDN-based scheme for detecting and mitigating distributed denial-of-service (DDoS) attacks mounted by botnets. The scheme involves a DDoS blocking application running on an SDN controller that monitors network traffic flows and detects attacks. When an attack is detected, the application installs rules on SDN switches to block traffic from botnet sources while still allowing legitimate traffic. The target server implements CAPTCHA to differentiate legitimate and bot traffic during attacks. The scheme is implemented using the POX SDN controller and OpenFlow standards and tested on the Mininet emulator.
This document proposes a trust count based validation method to lessen internal attacks in mobile ad hoc networks. The key aspects of the proposed method are:
1. The network is divided into hierarchical clusters, each with a fully trusted cluster head.
2. Each node holds a certificate from an offline certificate authority that includes the node's access policy and expiration time.
3. A trust count is periodically calculated for each node based on its access policy evaluations.
4. Cluster heads renew or reject member nodes' certificates based on their trust count values, aiming to mitigate internal attacks like node capture attacks.
IRJET- Software Defined Network: DDOS Attack DetectionIRJET Journal
This document discusses software defined networks (SDNs) and detecting distributed denial-of-service (DDoS) attacks in SDNs. It provides background on SDN architecture and how DDoS attacks work. The paper aims to address risks of DDoS attacks in SDNs and focuses on detection. It describes existing DDoS attack techniques and solutions. The document proposes using algorithms like TCM-KNN and DPTCM-KNN for detection of attacks in network traffic flows, and compares the two algorithms using parameters like packet length and response time.
Preventing Distributed Denial of Service Attacks in Cloud Environments IJITCA Journal
Distributed-Denial of Service (DDoS) is a key intimidation to network security. Network is a group of
nodes that interrelate with each other for switch over the information. This information is necessary for
that node is reserved confidentially. Attacker in the system may capture this private information and
distorted. So security is the major issue. There are several security attacks in network. One of the major
intimidations to internet examine is DDoS attack. It is a malevolent effort to suspending or suspends
services to destination node. DDoS or DoS is an effort to create network resource or the machine is busy to
its intentional user. Numerous thoughts are developed for avoid the DDoS or DoS. DDoS occur in two
different behaviors they may happen obviously or it may due to some attackers .Various schemes are
developed defense against to this attack. The Main focus of paper is present basis of DDoS attack, DDoS
attack types, and DDoS attack components, intrusion prevention system for DDoS.
IRJET- Detection of Distributed Denial-of-Service (DDos) Attack on Software D...IRJET Journal
This document discusses detecting distributed denial-of-service (DDoS) attacks on software defined networks (SDNs). It first provides background on SDNs and DDoS attacks. It then reviews related research on DDoS detection methods for SDNs. The document evaluates these methods based on results using the KDD99 dataset in a simulated SDN environment. It finds that the Double P-value of Transductive Confidence Machines for K-Nearest Neighbors (DPTCM-KNN) method achieved the highest true positive rate and lowest false positive rate, making it the most efficient approach for detecting anomalous flows in SDNs.
This document summarizes a research paper that evaluates the performance of Byzantine flood rushing attacks in ad hoc networks. The paper implements a flood rushing attack in an AODV-enabled ad hoc network using a network simulator. It analyzes the effects of the attack on network throughput, latency, and packet delivery ratio. The results show that as more adversarial nodes carry out the flood rushing attack, the network throughput decreases and latency increases, degrading network performance.
International Journal of Computational Science and Information Technology (I...ijcsity
Denial of Service (DoS) or Distributed-Denial of Service (DDoS) is major threat to network security.Network is collection of nodes that interconnect with each other for exchange the Information. This information is required for that node is kept confidentially. Attacker in network computer captures this information that is confidential and misuse the network. Hence security is one of the major issues. There are one or many attacks in network. One of the major threats to internet service is DDoS (Distributed denial of services) attack. DDoS attack is a malicious attempt to suspending or interrupting services to target node. DDoS or DoS is an attempt to make network resource or the machine is unavailable to its intended user. Many ideas are developed for avoiding the DDoS or DoS. DDoS happen in two ways
naturally or it may due to some botnets .Various schemes are developed defense against to this attack.Main idea of this paper is present basis of DDoS attack. DDoS attack types, DDoS attack components,survey on different mechanism to prevent DDoS.
A REVIEW ON DDOS PREVENTION AND DETECTION METHODOLOGYijasa
Denial of Service (DoS) or Distributed-Denial of Service (DDoS) is major threat to network security.
Network is collection of nodes that interconnect with each other for exchange the Information. This
information is required for that node is kept confidentially. Attacker in network computer captures this
information that is confidential and misuse the network. Hence security is one of the major issues. There
are one or many attacks in network. One of the major threats to internet service is DDoS (Distributed
denial of services) attack. DDoS attack is a malicious attempt to suspending or interrupting services to
target node. DDoS or DoS is an attempt to make network resource or the machine is unavailable to its
intended user. Many ideas are developed for avoiding the DDoS or DoS. DDoS happen in two ways
naturally or it may due to some botnets .Various schemes are developed defense against to this attack.
Main idea of this paper is present basis of DDoS attack. DDoS attack types, DDoS attack components,
survey on different mechanism to prevent DDoS
This document describes a proposed SDN-based scheme for detecting and mitigating distributed denial-of-service (DDoS) attacks mounted by botnets. The scheme involves a DDoS blocking application running on an SDN controller that monitors network traffic flows and detects attacks. When an attack is detected, the application installs rules on SDN switches to block traffic from botnet sources while still allowing legitimate traffic. The target server implements CAPTCHA to differentiate legitimate and bot traffic during attacks. The scheme is implemented using the POX SDN controller and OpenFlow standards and tested on the Mininet emulator.
This document proposes a trust count based validation method to lessen internal attacks in mobile ad hoc networks. The key aspects of the proposed method are:
1. The network is divided into hierarchical clusters, each with a fully trusted cluster head.
2. Each node holds a certificate from an offline certificate authority that includes the node's access policy and expiration time.
3. A trust count is periodically calculated for each node based on its access policy evaluations.
4. Cluster heads renew or reject member nodes' certificates based on their trust count values, aiming to mitigate internal attacks like node capture attacks.
A review on software defined network security risks and challengesTELKOMNIKA JOURNAL
Software defined network is an emerging network architecture that separates the traditional
integrated control logic and data forwarding functionality into different planes, namely the control plane and
data forwarding plane. The data plane does an end-to-end data delivery. And the control plane does
the actual network traffic forwarding and routing between different network segments. In software defined
network the networking infrastructure layer is where the entire networking device, such as switches and
routers are connected with the separate controller layer with the help of standard called OpenFlow
protocol. The OpenFlow is a standard protocol that allows different vendor devices like juniper, cisco and
huawei switches to be connected to the controller. The centralization of the software defined network
(SDN) controller makes the network more flexible, manageable and dynamic, such as provisioning of
bandwidth, dynamic scale out and scale in compared to the traditional communication network, however,
the centralized SDN controller is more vulnerable to security risks such as DDOS and flow rule poisoning
attack. In this paper, we will explore the architectures, the principles of software defined network and
security risks associated with the centralized SDN controller and possible ways to mitigate these risks.
Detection of Rogue Access Point in WLAN using Hopfield Neural Network IJECEIAES
The serious issue in the field of wireless communication is the security and how an organization implements the steps against security breach. The major attack on any organization is Man in the Middle attack which is difficult to manage. This attack leads to number of unauthorized access points, called rogue access points which are not detected easily. In this paper, we proposed a Hopfield Neural Network approach for an automatic detection of these rogue access points in wireless networking. Here, we store the passwords of the authentic devices in the weight matrix format and match the patterns at the time of login. Simulation experiment shows that this method is more secure than the traditional one in WLAN.
This document is a dissertation submitted by Ameya Vashishth in partial fulfillment of a Bachelor of Technology degree. It discusses denial of service (DoS) attacks and mitigation techniques. The dissertation provides an overview of DoS attacks, describes different types of attacks like Smurf, ping flood, TCP SYN flood and UDP flood. It also discusses distributed DoS attacks and recommended tools to perform DDoS attacks. The document concludes with discussing various countermeasures that can be used to mitigate DoS and DDoS attacks.
This document summarizes various soft computing techniques that can be used for intrusion detection, including fuzzy logic, graph-based approaches, and neural networks. Fuzzy logic can be used to classify parameters and detect anomalies by comparing normal and new fuzzy association rule sets. Graph-based approaches model network traffic as graphs of nodes and edges and use clustering algorithms to detect anomalies. Neural networks can be trained on audit log data to recognize normal behavior and detect deviations that may indicate attacks. These soft computing methods aim to improve on signature-based detection by learning patterns of normal network activity and detecting anomalies.
Performance Analysis of Wireless Trusted Software Defined NetworksIRJET Journal
This document analyzes the performance of wireless trusted software defined networks (SDNs) by considering metrics like energy consumption, throughput, end-to-end delay, and packet delivery ratio. It finds that SDNs perform better than conventional networks without SDN capabilities. It also compares the energy consumption of different SDN topology models. The key findings are that SDNs provide centralized control, programmability, and flexibility that improve performance compared to traditional networks. Additionally, different SDN topology models have varying levels of energy efficiency.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
EFFICACY OF ATTACK DETECTION CAPABILITY OF IDPS BASED ON ITS DEPLOYMENT IN WI...IJNSA Journal
Intrusion Detection and/or Prevention Systems (IDPS) represent an important line of defence against a variety of attacks that can compromise the security and proper functioning of an enterprise information system. Along with the widespread evolution of new emerging services, the quantity and impact of attacks have continuously increased, attackers continuously find vulnerabilities at various levels, from the network itself to operating system and applications, exploit them to crack system and services. Network defence and network monitoring has become an essential component of computer security to predict and prevent attacks. Unlike traditional Intrusion Detection System (IDS), Intrusion Detection and Prevention System (IDPS) have additional features to secure computer networks.
In this paper, we present a detailed study of how deployment of an IDPS plays a key role in its performance and the ability to detect and prevent known as well as unknown attacks. We categorize IDPS based on deployment as Network-based, host-based, and Perimeter-based and Hybrid. A detailed comparison is shown in this paper and finally we justify our proposed solution, which deploys agents at host-level to give better performance in terms of reduced rate of false positives and accurate detection and prevention.
DDoS Attacks Advancing and Enduring a SANS & Corero SurveyStephanie Weagle
Distributed denial of service (DDoS) attacks continue to grow in frequency, sophistication and bandwidth. There are numerous reasons for this. These trends are supported by a new SANS survey on the state of DDoS readiness. In
the survey, 378 security and network managers reveal that they are experiencing more frequent and sophisticated DDoS attacks. The survey also reveals that many organizations are indeed not prepared to deal with the problem.
NETWORK INTRUSION DETECTION AND COUNTERMEASURE SELECTION IN VIRTUAL NETWORK (...ijsptm
Intrusion in a network or a system is a problem today as the trend of successful network attacks continue to
rise. Intruders can explore vulnerabilities of a network system to gain access in order to deploy some virus
or malware such as Denial of Service (DOS) attack. In this work, a frequency-based Intrusion Detection
System (IDS) is proposed to detect DOS attack. The frequency data is extracted from the time-series data
created by the traffic flow using Discrete Fourier Transform (DFT). An algorithm is developed for
anomaly-based intrusion detection with fewer false alarms which further detect known and unknown attack
signature in a network. The frequency of the traffic data of the virus or malware would be inconsistent with
the frequency of the legitimate traffic data. A Centralized Traffic Analyzer Intrusion Detection System
called CTA-IDS is introduced to further detect inside attackers in a network. The strategy is effective in
detecting abnormal content in the traffic data during information passing from one node to another and
also detects known attack signature and unknown attack. This approach is tested by running the artificial
network intrusion data in simulated networks using the Network Simulator2 (NS2) software.
The purpose of this paper two fold. First and foremost it presents a background narrative on the origins, innovations and applications of novel structural automation technologies and the rarity of experts involved in research, development and practice of this field. The second part of this paper presents a rudimentary framework for a solution addressing this paucity – the creation of an interdisciplinary academic program at PAAET that will be the first ever in the region to address applied information communication technologies ICT in the design, planning, engineering and management of structural automation projects. In doing so, we need also to define the level of implementation. This field, as all fields in ICT, have been loosely defined and most applications carry less weight in its implementation than what should be applied. This paper gives an attempt to define an indexing scheme by which we can easily classify such implementation and generate a ranking by which we can safely define its level of ―Intelligence‖.International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Coming to this issue we have Network Security in Tool Gyan which will put light on how to set up a secured network, Who wants to be a Millionaire in Tool Gyan, check out yourself of what exactly its all about ;)TOR in Mom's guide for all those who thought 'It sounds very complicated to use, I’m not a hacker! I can’t use it!' by our Author- Federico from Italy.
IRJET- DDOS Detection System using C4.5 Decision Tree AlgorithmIRJET Journal
This document proposes a machine learning model using the C4.5 decision tree algorithm to detect DDOS attacks. It trains the model on DDOS attack samples from the CICIDS2017 dataset, dividing the samples into training and test data. The Weka data mining tool is used to build the model with attribute filtering and 10-fold cross-validation. The trained model is then validated on the test data to accurately differentiate between benign and DDOS flooding traffic. This combined signature-based and anomaly-based detection approach can effectively detect complex DDOS attacks.
A secure intrusion detection system against ddos attack in wireless mobile ad...vishnuRajan20
At Softroniics we provide job oriented training for freshers in IT sector. We are providing IEEE project guidance and Final year project guidance. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI, Modelsim, Tanner, Xilinx etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing and many other. We are providing long term and short term internship also. We are also providing IEEE project support at Calicut, Thrissur and Palakkad. For more details contact 9037291113, 7907435072
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
Survey on Host and Network Based Intrusion Detection SystemEswar Publications
With invent of new technologies and devices, Intrusion has become an area of concern because of security issues, in the ever growing area of cyber-attack. An intrusion detection system (IDS) is defined as a device or software application which monitors system or network activities for malicious activities or policy violations. It produces reports to a management station [1]. In this paper we are mainly focused on different IDS concepts based on Host and Network systems.
Preemptive modelling towards classifying vulnerability of DDoS attack in SDN ...IJECEIAES
Software-Defined Networking (SDN) has become an essential networking concept towards escalating the networking capabilities that are highly demanded future internet system, which is immensely distributed in nature. Owing to the novel concept in the field of network, it is still shrouded with security problems. It is also found that the Distributed Denial-of-Service (DDoS) attack is one of the prominent problems in the SDN environment. After reviewing existing research solutions towards resisting DDoS attack in SDN, it is found that still there are many open-end issues. Therefore, these issues are identified and are addressed in this paper in the form of a preemptive model of security. Different from existing approaches, this model is capable of identifying any malicious activity that leads to a DDoS attack by performing a correct classification of attack strategy using a machine learning approach. The paper also discusses the applicability of best classifiers using machine learning that is effective against DDoS attack.
This paper proposes a system called FireCol for detecting and preventing distributed denial-of-service (DDoS) attacks. FireCol uses a distributed architecture of multiple intrusion prevention systems (IPS) forming protective rings around subscribed users. The IPS devices collaborate by exchanging traffic information to calculate scores for potential attacks. If a high score indicates a potential DDoS attack, the protective rings use parallel communication to verify the attack near the source before it reaches the victim. Simulation results show FireCol can effectively detect DDoS attacks while imposing low overhead and supporting scalability.
IRJET- Phishdect & Mitigator: SDN based Phishing Attack DetectionIRJET Journal
The document proposes a new system called PhishDect and Mitigator to detect and mitigate phishing attacks using software-defined networking (SDN). It uses deep packet inspection techniques and a convolutional neural network (CNN) to classify phishing signatures. Traffic is directed through either a "store and forward" or "forward and inspect" mode. In store and forward mode, packets are stored and inspected before forwarding. In forward and inspect mode, packets are forwarded first and then a copy is inspected. The system aims to overcome limitations of existing phishing detection methods.
A Survey on Black Hole & Gray Hole Attacks Detection Scheme for Vehicular Ad-...IRJET Journal
This document discusses security threats in vehicular ad hoc networks (VANETs) called black hole attacks and gray hole attacks. It begins with an introduction to VANETs and the types of attacks they face, including impersonation attacks, denial-of-service attacks, and routing attacks such as worm hole attacks, black hole attacks, and gray hole attacks. Black hole attacks involve malicious nodes dropping all packets, while gray hole attacks involve selectively dropping packets. The document compares the impacts of black hole attacks and gray hole attacks, finding that black hole attacks result in more packet drops. It concludes that securing applications in VANETs is important for road safety, and future work is needed to better identify attacks and control malicious
IRJET- A Survey on DDOS Attack in ManetIRJET Journal
This document summarizes a survey on distributed denial of service (DDoS) attacks in mobile ad hoc networks (MANETs). It begins by introducing MANETs and some of the key security issues they face, including DDoS attacks. It then discusses different types of DDoS attacks like flooding and amplification/reflection attacks. The document proposes a new defense scheme against amplification attacks, which exploit protocols like DNS and NTP to amplify traffic. It describes using the Network Security Simulator to model and simulate DDoS attacks with master, zombie, and server entities to evaluate defense techniques and compare the impact of protocols like DNS and NTP.
Encountering distributed denial of service attack utilizing federated softwar...IJECEIAES
This research defines the distributed denial of service (DDoS) problem in software-defined-networks (SDN) environments. The proposes solution uses Software defined networks capabilities to reduce risk, introduces a collaborative, distributed defense mechanism rather than server-side filtration. Our proposed network detection and prevention agent (NDPA) algorithm negotiates the maximum amount of traffic allowed to be passed to server by reconfiguring network switches and routers to reduce the ports' throughput of the network devices by the specified limit ratio. When the passed traffic is back to normal, NDPA starts network recovery to normal throughput levels, increasing ports' throughput by adding back the limit ratio gradually each time cycle. The simulation results showed that the proposed algorithms successfully detected and prevented a DDoS attack from overwhelming the targeted server. The server was able to coordinate its operations with the SDN controllers through a communication mechanism created specifically for this purpose. The system was also able to determine when the attack was over and utilize traffic engineering to improve the quality of service (QoS). The solution was designed with a sophisticated way and high level of separation of duties between components so it would not be affected by the design aspect of the network architecture.
A review on software defined network security risks and challengesTELKOMNIKA JOURNAL
Software defined network is an emerging network architecture that separates the traditional
integrated control logic and data forwarding functionality into different planes, namely the control plane and
data forwarding plane. The data plane does an end-to-end data delivery. And the control plane does
the actual network traffic forwarding and routing between different network segments. In software defined
network the networking infrastructure layer is where the entire networking device, such as switches and
routers are connected with the separate controller layer with the help of standard called OpenFlow
protocol. The OpenFlow is a standard protocol that allows different vendor devices like juniper, cisco and
huawei switches to be connected to the controller. The centralization of the software defined network
(SDN) controller makes the network more flexible, manageable and dynamic, such as provisioning of
bandwidth, dynamic scale out and scale in compared to the traditional communication network, however,
the centralized SDN controller is more vulnerable to security risks such as DDOS and flow rule poisoning
attack. In this paper, we will explore the architectures, the principles of software defined network and
security risks associated with the centralized SDN controller and possible ways to mitigate these risks.
Detection of Rogue Access Point in WLAN using Hopfield Neural Network IJECEIAES
The serious issue in the field of wireless communication is the security and how an organization implements the steps against security breach. The major attack on any organization is Man in the Middle attack which is difficult to manage. This attack leads to number of unauthorized access points, called rogue access points which are not detected easily. In this paper, we proposed a Hopfield Neural Network approach for an automatic detection of these rogue access points in wireless networking. Here, we store the passwords of the authentic devices in the weight matrix format and match the patterns at the time of login. Simulation experiment shows that this method is more secure than the traditional one in WLAN.
This document is a dissertation submitted by Ameya Vashishth in partial fulfillment of a Bachelor of Technology degree. It discusses denial of service (DoS) attacks and mitigation techniques. The dissertation provides an overview of DoS attacks, describes different types of attacks like Smurf, ping flood, TCP SYN flood and UDP flood. It also discusses distributed DoS attacks and recommended tools to perform DDoS attacks. The document concludes with discussing various countermeasures that can be used to mitigate DoS and DDoS attacks.
This document summarizes various soft computing techniques that can be used for intrusion detection, including fuzzy logic, graph-based approaches, and neural networks. Fuzzy logic can be used to classify parameters and detect anomalies by comparing normal and new fuzzy association rule sets. Graph-based approaches model network traffic as graphs of nodes and edges and use clustering algorithms to detect anomalies. Neural networks can be trained on audit log data to recognize normal behavior and detect deviations that may indicate attacks. These soft computing methods aim to improve on signature-based detection by learning patterns of normal network activity and detecting anomalies.
Performance Analysis of Wireless Trusted Software Defined NetworksIRJET Journal
This document analyzes the performance of wireless trusted software defined networks (SDNs) by considering metrics like energy consumption, throughput, end-to-end delay, and packet delivery ratio. It finds that SDNs perform better than conventional networks without SDN capabilities. It also compares the energy consumption of different SDN topology models. The key findings are that SDNs provide centralized control, programmability, and flexibility that improve performance compared to traditional networks. Additionally, different SDN topology models have varying levels of energy efficiency.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
EFFICACY OF ATTACK DETECTION CAPABILITY OF IDPS BASED ON ITS DEPLOYMENT IN WI...IJNSA Journal
Intrusion Detection and/or Prevention Systems (IDPS) represent an important line of defence against a variety of attacks that can compromise the security and proper functioning of an enterprise information system. Along with the widespread evolution of new emerging services, the quantity and impact of attacks have continuously increased, attackers continuously find vulnerabilities at various levels, from the network itself to operating system and applications, exploit them to crack system and services. Network defence and network monitoring has become an essential component of computer security to predict and prevent attacks. Unlike traditional Intrusion Detection System (IDS), Intrusion Detection and Prevention System (IDPS) have additional features to secure computer networks.
In this paper, we present a detailed study of how deployment of an IDPS plays a key role in its performance and the ability to detect and prevent known as well as unknown attacks. We categorize IDPS based on deployment as Network-based, host-based, and Perimeter-based and Hybrid. A detailed comparison is shown in this paper and finally we justify our proposed solution, which deploys agents at host-level to give better performance in terms of reduced rate of false positives and accurate detection and prevention.
DDoS Attacks Advancing and Enduring a SANS & Corero SurveyStephanie Weagle
Distributed denial of service (DDoS) attacks continue to grow in frequency, sophistication and bandwidth. There are numerous reasons for this. These trends are supported by a new SANS survey on the state of DDoS readiness. In
the survey, 378 security and network managers reveal that they are experiencing more frequent and sophisticated DDoS attacks. The survey also reveals that many organizations are indeed not prepared to deal with the problem.
NETWORK INTRUSION DETECTION AND COUNTERMEASURE SELECTION IN VIRTUAL NETWORK (...ijsptm
Intrusion in a network or a system is a problem today as the trend of successful network attacks continue to
rise. Intruders can explore vulnerabilities of a network system to gain access in order to deploy some virus
or malware such as Denial of Service (DOS) attack. In this work, a frequency-based Intrusion Detection
System (IDS) is proposed to detect DOS attack. The frequency data is extracted from the time-series data
created by the traffic flow using Discrete Fourier Transform (DFT). An algorithm is developed for
anomaly-based intrusion detection with fewer false alarms which further detect known and unknown attack
signature in a network. The frequency of the traffic data of the virus or malware would be inconsistent with
the frequency of the legitimate traffic data. A Centralized Traffic Analyzer Intrusion Detection System
called CTA-IDS is introduced to further detect inside attackers in a network. The strategy is effective in
detecting abnormal content in the traffic data during information passing from one node to another and
also detects known attack signature and unknown attack. This approach is tested by running the artificial
network intrusion data in simulated networks using the Network Simulator2 (NS2) software.
The purpose of this paper two fold. First and foremost it presents a background narrative on the origins, innovations and applications of novel structural automation technologies and the rarity of experts involved in research, development and practice of this field. The second part of this paper presents a rudimentary framework for a solution addressing this paucity – the creation of an interdisciplinary academic program at PAAET that will be the first ever in the region to address applied information communication technologies ICT in the design, planning, engineering and management of structural automation projects. In doing so, we need also to define the level of implementation. This field, as all fields in ICT, have been loosely defined and most applications carry less weight in its implementation than what should be applied. This paper gives an attempt to define an indexing scheme by which we can easily classify such implementation and generate a ranking by which we can safely define its level of ―Intelligence‖.International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Coming to this issue we have Network Security in Tool Gyan which will put light on how to set up a secured network, Who wants to be a Millionaire in Tool Gyan, check out yourself of what exactly its all about ;)TOR in Mom's guide for all those who thought 'It sounds very complicated to use, I’m not a hacker! I can’t use it!' by our Author- Federico from Italy.
IRJET- DDOS Detection System using C4.5 Decision Tree AlgorithmIRJET Journal
This document proposes a machine learning model using the C4.5 decision tree algorithm to detect DDOS attacks. It trains the model on DDOS attack samples from the CICIDS2017 dataset, dividing the samples into training and test data. The Weka data mining tool is used to build the model with attribute filtering and 10-fold cross-validation. The trained model is then validated on the test data to accurately differentiate between benign and DDOS flooding traffic. This combined signature-based and anomaly-based detection approach can effectively detect complex DDOS attacks.
A secure intrusion detection system against ddos attack in wireless mobile ad...vishnuRajan20
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International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology
Survey on Host and Network Based Intrusion Detection SystemEswar Publications
With invent of new technologies and devices, Intrusion has become an area of concern because of security issues, in the ever growing area of cyber-attack. An intrusion detection system (IDS) is defined as a device or software application which monitors system or network activities for malicious activities or policy violations. It produces reports to a management station [1]. In this paper we are mainly focused on different IDS concepts based on Host and Network systems.
Preemptive modelling towards classifying vulnerability of DDoS attack in SDN ...IJECEIAES
Software-Defined Networking (SDN) has become an essential networking concept towards escalating the networking capabilities that are highly demanded future internet system, which is immensely distributed in nature. Owing to the novel concept in the field of network, it is still shrouded with security problems. It is also found that the Distributed Denial-of-Service (DDoS) attack is one of the prominent problems in the SDN environment. After reviewing existing research solutions towards resisting DDoS attack in SDN, it is found that still there are many open-end issues. Therefore, these issues are identified and are addressed in this paper in the form of a preemptive model of security. Different from existing approaches, this model is capable of identifying any malicious activity that leads to a DDoS attack by performing a correct classification of attack strategy using a machine learning approach. The paper also discusses the applicability of best classifiers using machine learning that is effective against DDoS attack.
This paper proposes a system called FireCol for detecting and preventing distributed denial-of-service (DDoS) attacks. FireCol uses a distributed architecture of multiple intrusion prevention systems (IPS) forming protective rings around subscribed users. The IPS devices collaborate by exchanging traffic information to calculate scores for potential attacks. If a high score indicates a potential DDoS attack, the protective rings use parallel communication to verify the attack near the source before it reaches the victim. Simulation results show FireCol can effectively detect DDoS attacks while imposing low overhead and supporting scalability.
IRJET- Phishdect & Mitigator: SDN based Phishing Attack DetectionIRJET Journal
The document proposes a new system called PhishDect and Mitigator to detect and mitigate phishing attacks using software-defined networking (SDN). It uses deep packet inspection techniques and a convolutional neural network (CNN) to classify phishing signatures. Traffic is directed through either a "store and forward" or "forward and inspect" mode. In store and forward mode, packets are stored and inspected before forwarding. In forward and inspect mode, packets are forwarded first and then a copy is inspected. The system aims to overcome limitations of existing phishing detection methods.
A Survey on Black Hole & Gray Hole Attacks Detection Scheme for Vehicular Ad-...IRJET Journal
This document discusses security threats in vehicular ad hoc networks (VANETs) called black hole attacks and gray hole attacks. It begins with an introduction to VANETs and the types of attacks they face, including impersonation attacks, denial-of-service attacks, and routing attacks such as worm hole attacks, black hole attacks, and gray hole attacks. Black hole attacks involve malicious nodes dropping all packets, while gray hole attacks involve selectively dropping packets. The document compares the impacts of black hole attacks and gray hole attacks, finding that black hole attacks result in more packet drops. It concludes that securing applications in VANETs is important for road safety, and future work is needed to better identify attacks and control malicious
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This document summarizes a survey on distributed denial of service (DDoS) attacks in mobile ad hoc networks (MANETs). It begins by introducing MANETs and some of the key security issues they face, including DDoS attacks. It then discusses different types of DDoS attacks like flooding and amplification/reflection attacks. The document proposes a new defense scheme against amplification attacks, which exploit protocols like DNS and NTP to amplify traffic. It describes using the Network Security Simulator to model and simulate DDoS attacks with master, zombie, and server entities to evaluate defense techniques and compare the impact of protocols like DNS and NTP.
Encountering distributed denial of service attack utilizing federated softwar...IJECEIAES
This research defines the distributed denial of service (DDoS) problem in software-defined-networks (SDN) environments. The proposes solution uses Software defined networks capabilities to reduce risk, introduces a collaborative, distributed defense mechanism rather than server-side filtration. Our proposed network detection and prevention agent (NDPA) algorithm negotiates the maximum amount of traffic allowed to be passed to server by reconfiguring network switches and routers to reduce the ports' throughput of the network devices by the specified limit ratio. When the passed traffic is back to normal, NDPA starts network recovery to normal throughput levels, increasing ports' throughput by adding back the limit ratio gradually each time cycle. The simulation results showed that the proposed algorithms successfully detected and prevented a DDoS attack from overwhelming the targeted server. The server was able to coordinate its operations with the SDN controllers through a communication mechanism created specifically for this purpose. The system was also able to determine when the attack was over and utilize traffic engineering to improve the quality of service (QoS). The solution was designed with a sophisticated way and high level of separation of duties between components so it would not be affected by the design aspect of the network architecture.
PREVENTING DISTRIBUTED DENIAL OF SERVICE ATTACKS IN CLOUD ENVIRONMENTS IJITCA Journal
Distributed-Denial of Service (DDoS) is a key intimidation to network security. Network is a group of nodes that interrelate with each other for switch over the information. This information is necessary for that node is reserved confidentially. Attacker in the system may capture this private information and distorted. So security is the major issue. There are several security attacks in network. One of the major intimidations to internet examine is DDoS attack. It is a malevolent effort to suspending or suspends services to destination node. DDoS or DoS is an effort to create network resource or the machine is busy to
its intentional user. Numerous thoughts are developed for avoid the DDoS or DoS. DDoS occur in two different behaviors they may happen obviously or it may due to some attackers .Various schemes are developed defense against to this attack. The Main focus of paper is present basis of DDoS attack, DDoS
attack types, and DDoS attack components, intrusion prevention system for DDoS.
Q-learning based distributed denial of service detectionIJECEIAES
This document summarizes a research paper that proposes a new approach for detecting distributed denial of service (DDoS) attacks in software-defined networks using Q-learning. The proposed approach uses entropy detection and Q-learning to enhance detection and reduce false positives and negatives. Results show the approach detects DDoS attacks faster than entropy detection alone and ensures service continuity for legitimate users by redirecting traffic. The approach increases throughput by up to 50% compared to other methods.
IRJET- Survey on SDN based Network Intrusion Detection System using Machi...IRJET Journal
This document summarizes a survey on using machine learning techniques in an SDN-based network intrusion detection system. It discusses how SDN allows centralized control and monitoring of network traffic. Machine learning and deep learning can be applied to the monitored traffic to detect anomalies and threats. Specifically, the document examines using long short-term memory neural networks and artificial neural networks to classify traffic and improve detection accuracy in the SDN environment. The goal is to increase the effectiveness of the network intrusion detection system at identifying security issues.
IRJET- Detection and Localization of IDS Spoofing Attack in Wireless Sensor N...IRJET Journal
This document proposes using intrusion detection systems and k-means clustering to detect and localize spoofing attacks in wireless sensor networks used in vehicular networks (VANETs). VANETs have characteristics like highly dynamic topology and frequent link changes that make performance monitoring difficult. The proposed approach uses cluster heads acting as IDS to monitor packet transmissions within clusters and detect misbehaving nodes. When an attacker is detected, an alarm is passed to the source node to eliminate the attacker. Simulation results show the method can efficiently and robustly detect and locate spoofing attackers in VANET wireless sensor networks.
Security and risk analysis in the cloud with software defined networking arch...IJECEIAES
Cloud computing has emerged as the actual trend in business information technology service models, since it provides processing that is both costeffective and scalable. Enterprise networks are adopting software-defined networking (SDN) for network management flexibility and lower operating costs. Information technology (IT) services for enterprises tend to use both technologies. Yet, the effects of cloud computing and software defined networking on business network security are unclear. This study addresses this crucial issue. In a business network that uses both technologies, we start by looking at security, namely distributed denial-of-service (DDoS) attack defensive methods. SDN technology may help organizations protect against DDoS assaults provided the defensive architecture is structured appropriately. To mitigate DDoS attacks, we offer a highly configurable network monitoring and flexible control framework. We present a dataset shift-resistant graphic model-based attack detection system for the new architecture. The simulation findings demonstrate that our architecture can efficiently meet the security concerns of the new network paradigm and that our attack detection system can report numerous threats using real-world network data.
PREDICTION OF CYBER ATTACK USING DATA SCIENCE TECHNIQUEIRJET Journal
This document discusses predicting cyber attacks using machine learning techniques. It proposes building a machine learning model for anomaly detection to identify fraudulent, suspicious or unusual network activities that could indicate cyber attacks. The model would be built using data science methods like variable identification on a past dataset to train and test various machine learning algorithms. Performance metrics of different algorithms would be calculated and compared to find the most accurate model for predicting four types of attacks: DOS, R2L, U2R and Probe attacks. A graphical user interface would then display the prediction results of network attack detection.
An approach for slow distributed denial of service attack detection and allev...nooriasukmaningtyas
Over the last few years, the need for programmable networks has captured the interest of industrialists and academicians. It has led to the development of a paradigm called software defined network (SDN). It separates the network intelligence into the control plane and forwarding logic into the data plane. This architecture gives scope to various security issues of which denial of service (DoS) is the most common and challenging to detect. This paper focuses on the detection and mitigation of a slow DoS attack called Slowloris on Apache2 server in SDN based networks. The proposed solution is called Slowloris detection and mitigation mechanism (SDMM). Mininet, an emulator, and SimpleHTTPServer are used for simulation and the same is implemented using Zodiac FX OpenFlow switch, Ryu controller and Apache2 server. SDMM algorithm detects and mitigates prolonged Slowloris attack in typical networks as well as in slow networks with low bandwidth and high delay in 240-280s with an accuracy of 100% and 98% respectively. It uses expectation of burst size as a key factor for detection.
Security in Software Defined Networks (SDN): Challenges and Research Opportun...Editor IJCATR
In networks, the rapidly changing traffic patterns of search engines, Internet of Things (IoT) devices, Big Data and data centers has thrown up new challenges for legacy; existing networks; and prompted the need for a more intelligent and innovative way to dynamically manage traffic and allocate limited network resources. Software Defined Network (SDN) which decouples the control plane from the data plane through network vitalizations aims to address these challenges. This paper has explored the SDN architecture and its implementation with the OpenFlow protocol. It has also assessed some of its benefits over traditional network architectures, security concerns and how it can be addressed in future research and related works in emerging economies such as Nigeria.
An Analysis on Software Defined Wireless Network using Stride ModelIRJET Journal
This document analyzes the security of two software defined wireless network monitoring tools, sFlow and FlowVisor, using the STRIDE threat model. It finds that sFlow requires secure external deployment and storage of flow data to ensure security, while FlowVisor has built-in access control but isolated flows still require additional security. A comparison shows sFlow is open-source while FlowVisor provides network virtualization, and both could benefit from further vulnerability mitigation. The STRIDE analysis identifies threats including spoofing, tampering, denial of service, and privilege escalation that must be addressed for these tools to securely monitor software defined wireless networks.
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This document discusses improving detection of distributed denial of service (DDoS) attacks in internet of things (IoT) devices. It proposes a DDoS detection model that includes decision tree models tailored for different classes of IoT devices. Four classes of devices are defined based on their typical traffic patterns - high, raised, medium, and low consistency. Testing showed the approach can accurately detect DDoS traffic for these device classes, with accuracy ranging from 99.92% to 99.99%. The approach leverages device classes to more precisely identify DDoS traffic.
Augmented split –protocol; an ultimate d do s defenderijcsa
Distributed Denials of Service (DDoS) attacks have become the daunting problem for businesses, state
administrator and computer system users. Prevention and detection of a DDoS attack is a major research
topic for researchers throughout the world. As new remedies are developed to prevent or mitigate DDoS
attacks, invaders are continually evolving new methods to circumvent these new procedures. In this paper,
we describe various DDoS attack mechanisms, categories, scope of DDoS attacks and their existing
countermeasures. In response, we propose to introduce DDoS resistant Augmented Split-protocol (ASp).
The migratory nature and role changeover ability of servers in Split-protocol architecture will avoid
bottleneck at the server side. It also offers the unique ability to avoid server saturation and compromise
from DDoS attacks. The goal of this paper is to present the concept and performance of (ASp) as a
defensive tool against DDoS attacks.
Cloud computing challenges and solutionsIJCNCJournal
Cloud computing is an emerging area of computer technology that benefits form the processing power and
the computing resources of many connected, geographically distanced computers connected via Internet.
Cloud computing eliminates the need of having a complete infrastructure of hardware and software to meet
users requirements and applications. It can be thought of or considered as a complete or a partial
outsourcing of hardware and software resources. To access cloud applications, a good Internet connection
and a standard Internet browser are required. Cloud computing has its own drawback from the security
point of view; this paper aims to address most of these threats and their possible solutions.
Review Paper on Predicting Network Attack Patterns in SDN using MLijtsrd
Software Defined Networking SDN provides several advantages like manageability, scaling, and improved performance. SDN has some security problems, especially if its controller is defense less over Distributed Denial of Service attacks. The mechanism and communication extent of the SDN controller is overloaded when DDoS attacks are performed against the SDN controller. So, as results of the useless flow built by the controller for the attack packets, the extent of the switch flow table becomes full, leading the network performance to decline to a critical threshold. The challenge lies in defining the set of rules on the SDN controller to dam malicious network connections. Historical network attack data are often wont to automatically identify and block the malicious connections. In this review paper, we are going to propose using ML algorithms, tested on collected network attack data, to get the potential malicious connections and potential attack destinations. We use four machine learning algorithms C4.5, Bayesian Network BayesNet , multidimensional language DT , and Naive Bayes to predict the host which will be attacked to support the historical data. DDoS attacks in Software Defined Network were detected by using ML based models. Some key features were obtained from SDN for the dataset in normal conditions and under DDoS attack traffic. Dr. C. Umarani | Gopalshree Kushwaha "Review Paper on Predicting Network Attack Patterns in SDN using ML" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35732.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-network/35732/review-paper-on-predicting-network-attack-patterns-in-sdn-using-ml/dr-c-umarani
Describes the term Internet of Things IoT security architecture based on Software Defined Networking SDN . In this context, building on SDN works with or without infrastructure. This is called the SDN domain. This work describes the mechanics of the proposed architecture and reduces the chances of using SDN to achieve more effective and flexible network security. It outlined the issues associated with current SDN security applications and introduced a new IoT system plan. This document has discussed the management of Internet access for specific networks and monitoring of global traffic. Finally, it describes the choice of architecture for SDN using OpenFlow and discusses the resulting results. M. Silambarasan | B. Michael Vinoline Rinoj | V. Karthik ""A Novel SDN Architecture for IoT Security"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020, URL: https://www.ijtsrd.com/papers/ijtsrd29908.pdf
Paper Url : https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/29908/a-novel-sdn-architecture-for-iot-security/m-silambarasan
An intelligent system to detect slow denial of service attacks in software-de...IJECEIAES
Slow denial of service attack (DoS) is a tricky issue in software-defined network (SDN) as it uses less bandwidth to attack a server. In this paper, a slow-rate DoS attack called Slowloris is detected and mitigated on Apache2 and Nginx servers using a methodology called an intelligent system for slow DoS detection using machine learning (ISSDM) in SDN. Data generation module of ISSDM generates dataset with response time, the number of connections, timeout, and pattern match as features. Data are generated in a real environment using Apache2, Nginx server, Zodiac FX OpenFlow switch and Ryu controller. Monte Carlo simulation is used to estimate threshold values for attack classification. Further, ISSDM performs header inspection using regular expressions to mark flows as legitimate or attacked during data generation. The proposed feature selection module of ISSDM, called blended statistical and information gain (BSIG), selects those features that contribute best to classification. These features are used for classification by various machine learning and deep learning models. Results are compared with feature selection methods like Chi-square, T-test, and information gain.
Unified Security Plugin for Opendaylight ControllerSaikat Chaudhuri
This document discusses the implementation of a unified security plugin for the Opendaylight SDN controller. It begins by describing how SDN architectures introduce new security challenges by making the controller a single point of failure. It then outlines some existing security measures in Opendaylight but notes remaining vulnerabilities, such as from packet-in flooding attacks. The document proposes a unified security plugin that would monitor the controller's interfaces and APIs to identify attacks and share security-related information for mitigation. It provides an example of how the plugin could help detect and block a packet-in flooding attack aimed at overwhelming the controller.
Cybersecurity Threat Detection of Anomaly Based DDoS Attack Using Machine Lea...IRJET Journal
This document discusses machine learning techniques for detecting distributed denial of service (DDoS) attacks. It reviews related work applying methods like decision trees, support vector machines, naive Bayes, and deep learning to identify DDoS attacks based on network traffic patterns. The document evaluates these algorithms based on accuracy metrics and processing time. It also explores feature selection and parameter tuning to optimize model performance and training efficiency for detecting DDoS attacks.
Software Defined Networking Attacks and Countermeasures .docxrosemariebrayshaw
Software Defined Networking: Attacks and
Countermeasures
Nada Mostafa Abd Elazim
Computer Engineering Department.
Arab Academy for Science and
Technology, College of Engineering
Cairo, Egypt
[email protected]
Mohamed A. Sobh
Ain Shams University
Cairo, Egypt
[email protected]
Ayman M. Bahaa-Eldin
Misr International University
On leave from Ain Shams University
[email protected]
Abstract —Software defined networking (SDN) is an
emerging network architecture; it differs from traditional
networks as it separates control planes from data planes.
This separation helps the network to be more flexible and
easier to handle and allows faster innovation cycles at both
planes. SDN has benefit over traditional networks in terms
of simplicity, programmability and elasticity. Openflow
protocol is a south-bound API interface; it is the most
popular and common protocol that used to communicate the
controller with the switches. This paper will focus on the
architecture of SDN and provide some challenges faces the
SDN; finally, it will discuss some security threats that face
SDN and their countermeasures.
Index Terms—SDN, Openflow, API interface
I. INTRODUCTION
Traditional networks were very complex and difficult
to manage. They combine the control plane with data
plane that make network management difficult.
On the other hand, software defined networking
(SDN) is a new networking approach to build computer
networks that separates and abstracts elements of these
systems to help building flexible and scalable network.
Advantages of Software defined networking (SDN)
over traditional network [1]:
• It has virtual environment as it uses resources
without caring about where it is located and how
it is orderly.
• Monitor large number of devices by one
command.
• Easy to change behaviour, size, and quantity.
• Minimize downtime, enforcement of policy,
discover the faults and solve them, and add new
devices, resources, sites, and workloads.
• Monitoring of resources.
• Improve the utilization of network device.
• The global vision of the network due to the
centralization of the controller.
Openflow [2] is a protocol found in the southbound
API interface that locates between the control and data
forwarding layer. It is the way to virtualize the network.
openflow is designed to be easy programmed, that helps
the network manager to create new protocols for solving
problems.
SDN has many applications in data centre, WAN,
IoTs, cellular networks, and Wi-Fi network.
Security threats are on the rise, SDN faces many
security threats in each of its layer, for example, in Data
forwarding layer there are man at the end attack, DoS
attack, spoofing attack, intrusion attack, scanning attack,
tampering attack, hijacking attack, side channel attack,
and anomaly attack. In control layer there are DoS/DDoS
attack, intrusion attack, anomaly attack, threats based on
distributed multi-controllers, threats from a.
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React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024