Analysis of IT Monitoring Using Open Source Software Techniques: A ReviewIJERD Editor
The Network administrators usually rely on generic and built-in monitoring tools for network
security. Ideally, the network infrastructure is supposed to have carefully designed strategies to scale up
monitoring tools and techniques as the network grows, over time. Without this, there can be network
performance challenges, downtimes due to failures, and most importantly, penetration attacks. These can lead to
monetary losses as well as loss of reputation. Thus, there is a need for best practices to monitor network
infrastructure in an agile manner. Network security monitoring involves collecting network packet data,
segregating it among all the 7 OSI layers, and applying intelligent algorithms to get answers to security-related
questions. The purpose is to know in real-time what is happening on the network at a detailed level, and
strengthen security by hardening the processes, devices, appliances, software policies, etc. The Multi Router
Traffic Grapher, or just simply MRTG, is free software for monitoring and measuring the traffic load
on network links. It allows the user to see traffic load on a network over time in graphical form.
The Impact on Security due to the Vulnerabilities Existing in the network a S...IJAEMSJORNAL
Software Defined Networking, the emerging technology is taking the network sector to a new variant. Networking sector completely focused on hardware infrastructure is now moving towards software programming. Due to an exponential growth in the number of user and the amount of information over wires, there arises a great risk with the existing IP Network architecture. Software Defined Networking paves a platform identifying a feasible solution to the problem by virtualization. Software Defined Networking provides a viable path in virtualization and managing the network resources in an “On Demand Manner”. This study is focused on the drawbacks of the existing technology and a fine grained introduction to Software Defined Networking. Further adding to the above topic, this study also passes over the current steps taken in the industrial sector in implementing Software Defined Networking. This study makes a walkthrough about the security features of Software Defined Networking, its advantages, limitations and further scope in identifying the loopholes in the security.
A network security detection and prevention
scheme using a combination of network taps
and aggregation devices can improve visibility
and redundancy, reduce system complexity
and diminish initial and continuing costs for
implementation.
Analysis of IT Monitoring Using Open Source Software Techniques: A ReviewIJERD Editor
The Network administrators usually rely on generic and built-in monitoring tools for network
security. Ideally, the network infrastructure is supposed to have carefully designed strategies to scale up
monitoring tools and techniques as the network grows, over time. Without this, there can be network
performance challenges, downtimes due to failures, and most importantly, penetration attacks. These can lead to
monetary losses as well as loss of reputation. Thus, there is a need for best practices to monitor network
infrastructure in an agile manner. Network security monitoring involves collecting network packet data,
segregating it among all the 7 OSI layers, and applying intelligent algorithms to get answers to security-related
questions. The purpose is to know in real-time what is happening on the network at a detailed level, and
strengthen security by hardening the processes, devices, appliances, software policies, etc. The Multi Router
Traffic Grapher, or just simply MRTG, is free software for monitoring and measuring the traffic load
on network links. It allows the user to see traffic load on a network over time in graphical form.
The Impact on Security due to the Vulnerabilities Existing in the network a S...IJAEMSJORNAL
Software Defined Networking, the emerging technology is taking the network sector to a new variant. Networking sector completely focused on hardware infrastructure is now moving towards software programming. Due to an exponential growth in the number of user and the amount of information over wires, there arises a great risk with the existing IP Network architecture. Software Defined Networking paves a platform identifying a feasible solution to the problem by virtualization. Software Defined Networking provides a viable path in virtualization and managing the network resources in an “On Demand Manner”. This study is focused on the drawbacks of the existing technology and a fine grained introduction to Software Defined Networking. Further adding to the above topic, this study also passes over the current steps taken in the industrial sector in implementing Software Defined Networking. This study makes a walkthrough about the security features of Software Defined Networking, its advantages, limitations and further scope in identifying the loopholes in the security.
A network security detection and prevention
scheme using a combination of network taps
and aggregation devices can improve visibility
and redundancy, reduce system complexity
and diminish initial and continuing costs for
implementation.
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
Fortalecimiento de la seguridad combinando las capacidades de analíticos sobre logs y paquetes de red, además de las capacidades avanzadas de detección de malware,
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.
SDN( Software Defined Network) and NFV(Network Function Virtualization) for I...Sagar Rai
Software, Software Defined Network, Network Function Virtualization, SDN, NFV, Internet of things, Basics of Internet of things, Network Basics, Virtualization, Limitation of Conventional Network, Open flow, Basics of conventional network,
Yi-Lang Tsai - Cyber Security, Threat Hunting and Defence Challenge in Taiwan...REVULN
TWCSIRT is a full member of FIRST and mainly focuses on the protection of NARLabs, TANet and TWAREN. We are defense cyber-attack from internet and according to government policy to handling incident every day. I am a research fellow with National Center for High-performance Computing and lead cyber security team to operation security operation center to handling incident in Taiwan Academic Network.
In our research project from government, we are deployed the biggest honeynet in Taiwan and used over 6000 IP address to detection malicious network attack come from internet.
We have published our malware knowledge base to sharing malware samples and reports for many researchers, students, research center and sharing our data set for deep tracking about cyber security.
There are many new types of cyber-attack that’s is include ransomware, website mining, DDoS and hybrid malicious attack.
Main Points:
- What’s TWCSIRT Mission and Scope
- How to coordinate in National level with ISAC, CERT and SOC
- Cyber-attack and threat hunting in Taiwan Academic Network
- How to develop cyber security platform for incident handling
- How to do red team and blue team training by CDX
Software Defined Networking (SDN) is an emerging trend in the networking and communication industry and promises to deliver enormous benefits, from reduced costs to more efficient network operations. It is a new approach that gives network operators and owners more control of the infrastructure, allowing optimization, customization and virtualization that enable the creation of new types of network services. This is done by decoupling the management and control planes that make decisions about where traffic is sent from (the control plane) the underlying hardware that forwards data traffic to the selected destination (the data plane).
Team research paper and project on network vulnerabilities with multiple attacks and defesnses:
Cybersecurity
-For this project, our class was paired with teams to attempt to find vulnerabilities in other teams networks and to successfully beach their network.
-My role in this group was to help breach other team vulnerabilities through different attacks like responder attacks, honeypots, etc.
-The main challenges of this project were trying to find the vulnerabilities successfully, as the whole team had troubles with each of our different attacks and defenses.
-We learned how to use cybersecurity tools to help find vulnerabilities in networks and how to protect against them better. For example, in the honeypot we used we deployed it to port 80, when the attacker tried to access our fake server we were notified. We also deployed palto alto firewall to create our private and secure network. For an attack, we also used password crackers like john the ripper. This project taught us how to breach networks as a team.
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
Fortalecimiento de la seguridad combinando las capacidades de analíticos sobre logs y paquetes de red, además de las capacidades avanzadas de detección de malware,
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.
SDN( Software Defined Network) and NFV(Network Function Virtualization) for I...Sagar Rai
Software, Software Defined Network, Network Function Virtualization, SDN, NFV, Internet of things, Basics of Internet of things, Network Basics, Virtualization, Limitation of Conventional Network, Open flow, Basics of conventional network,
Yi-Lang Tsai - Cyber Security, Threat Hunting and Defence Challenge in Taiwan...REVULN
TWCSIRT is a full member of FIRST and mainly focuses on the protection of NARLabs, TANet and TWAREN. We are defense cyber-attack from internet and according to government policy to handling incident every day. I am a research fellow with National Center for High-performance Computing and lead cyber security team to operation security operation center to handling incident in Taiwan Academic Network.
In our research project from government, we are deployed the biggest honeynet in Taiwan and used over 6000 IP address to detection malicious network attack come from internet.
We have published our malware knowledge base to sharing malware samples and reports for many researchers, students, research center and sharing our data set for deep tracking about cyber security.
There are many new types of cyber-attack that’s is include ransomware, website mining, DDoS and hybrid malicious attack.
Main Points:
- What’s TWCSIRT Mission and Scope
- How to coordinate in National level with ISAC, CERT and SOC
- Cyber-attack and threat hunting in Taiwan Academic Network
- How to develop cyber security platform for incident handling
- How to do red team and blue team training by CDX
Software Defined Networking (SDN) is an emerging trend in the networking and communication industry and promises to deliver enormous benefits, from reduced costs to more efficient network operations. It is a new approach that gives network operators and owners more control of the infrastructure, allowing optimization, customization and virtualization that enable the creation of new types of network services. This is done by decoupling the management and control planes that make decisions about where traffic is sent from (the control plane) the underlying hardware that forwards data traffic to the selected destination (the data plane).
Team research paper and project on network vulnerabilities with multiple attacks and defesnses:
Cybersecurity
-For this project, our class was paired with teams to attempt to find vulnerabilities in other teams networks and to successfully beach their network.
-My role in this group was to help breach other team vulnerabilities through different attacks like responder attacks, honeypots, etc.
-The main challenges of this project were trying to find the vulnerabilities successfully, as the whole team had troubles with each of our different attacks and defenses.
-We learned how to use cybersecurity tools to help find vulnerabilities in networks and how to protect against them better. For example, in the honeypot we used we deployed it to port 80, when the attacker tried to access our fake server we were notified. We also deployed palto alto firewall to create our private and secure network. For an attack, we also used password crackers like john the ripper. This project taught us how to breach networks as a team.
As network size continues to grow exponentially, there has been a proportionate increase in the number of nodes in the corresponding network. With the advent of Internet of things (IOT), it is assumed that many more devices will be connected to the existing network infrastructure. As a result, monitoring is expected to get more complex for administrators as networks tend to become more heterogeneous. Moreover, the addressing for IOTs would be more complex given the scale at which devices will be added to the network and hence monitoring is bound to become an uphill task due to management of larger range of addresses. This paper will throw light on what kind of monitoring mechanisms can be deployed in internet of things (IOTs) and their overall effectiveness.
IoT ( M2M) - Big Data - Analytics: Emulation and DemonstrationCHAKER ALLAOUI
Study and simulation of the systems modern IoT with examples of connected objects such as: GPS(GLOBAL POSITIONING SYSTEM), Philips Hue, Thermometer, and connected cars implemented with the technology nodeJS and Node-Red with the communication protocol of M2M ( MQTT).
As well as an analytical study based on Elasticsearch, MongoDB, Apache Hadoop, Apache Hive and Jaspersoft.
Q-learning based distributed denial of service detectionIJECEIAES
Distributed denial of service (DDoS) attacks the target service providers by sending a huge amount of traffic to prevent legitimate users from getting the service. These attacks become more challenging in the software-defined network paradigm, due to the separation of the control plane from the data plane. Centralized software defined networks are more vulnerable to DDoS attacks that may cause the failure of all networks. In this work, a new approach is proposed based on q-learning to enhance the detection of DDoS attacks and reduce false positives and false negatives. The results of this work are compared with entropy detection in terms of the number of received packets to detect the attack and also the continuity of service for legitimate users. Moreover, these results indicate that the proposed system detects the DDoS attack from flash crowds and redirects the traffic to the edge of the data center. A second controller is used to redirect traffic to a honeypot server that works as a mirror server. This guarantees the continuity of service for both normal and suspected traffic until further analysis is done. The results indicate an increase of up to 50% in the throughput compared to other approaches.
In software-defined networking (SDN), network traffic is managed by software controllers or application programming interfaces (APIs) rather than hardware components. It differs from traditional networks, which use
switches and routers to control traffic. Using SDN, you can create and control virtual networks or traditional hardware networks. Furthermore, OpenFlow allows network administrators to control exact network behavior
through centralized control of packet forwarding. For these reasons, SDN has advantages over certain security issues, unlike traditional networks.
However, most of the existing vulnerabilities and security threats in the traditional network also impact the SDN network. This document presents the attacks targeting the SDN network and the solutions that protect against
these attacks. In addition, we introduce a variety of SDN security controls, such as intrusion detection systems (IDS)/intrusion prevention system (IPS), and firewalls. Towards the end, we outline a conclusion and perspectives.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
ANALYZING NETWORK PERFORMANCE PARAMETERS USING WIRESHARKIJNSA Journal
Network performance can be a prime concern for network administrators. The performance of the network depends on many factors. Some of the issues faced in the network performance are - Slow Internet, Bottlenecks, Loss of packets and/or retransmissions, and Excessive bandwidth consumption. For troubleshooting a network, an in-depth understanding of network protocols is required. The main objective of this research is to analyze the performance and various other parameters related to the integrity of a network in a home-based network environment using Wireshark. Network traffic is captured for different devices. The captured traffic is then analysed using Wireshark’s basic statistical tools and advanced tools for various performance parameters.
A SCALABLE MONITORING SYSTEM FOR SOFTWARE DEFINED NETWORKSijdpsjournal
Monitoring functionality is an essential element of any network system. Traditional monitoring solutions
are mostly used for manual and infrequent network management tasks. Software-defined networks (SDN)
have emerged with enabled automatic and frequent network reconfigurations. In this paper, a scalable
monitoring system for SDN is introduced. The proposed system monitors small, medium, and large-scale
SDN. Multiple instances of the proposed monitoring system can run in parallel for monitoring many SDN
slices. The introduced monitoring system receives requests from network management applications,
collects considerable amounts of measurement data, processes them, and returns the resulting knowledge
to the network management applications. The proposed monitoring system slices the network (switches and
links) into multiple slices. The introduced monitoring system concurrently monitors applications for
various tenants, with each tenant's application running on a dedicated network slice. Each slice is
monitored by a separate copy of the proposed monitoring system. These copies operate in parallel and are
synchronized. The scalability of the monitoring system is achieved by enhancing the performance of SDN.
In this context, scalability is addressed by increasing the number of tenant applications and expanding the
size of the physical network without compromising SDN performance.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
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.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
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.