5G
Article | September 28, 2023
Before the COVID-19 crisis, the biggest news in tech was the ongoing -- and controversial -- rollout of the 5G network. First, there was the ban on Chinese companies, prohibiting them from being involved with 5G infrastructure in the U.S., U.K. and Australia. Then articles started pointing out that the threat profile for 5G was an order of magnitude higher than that of existing telecom protocols. The coronavirus outbreak, though, has forced some analysts to reassess the value of 5G. While security concerns remain, the network has been invaluable in the fight against the pandemic.
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Wireless, 5G
Article | May 18, 2023
Network security today is losing the battle and a lot of it is blamed upon the traditional security devices. Imagine running next-gen IT Infrastructure secured by security tools made to secure legacy IT.Data breaches have increased substantially and IT professionals are continuously looking at new ways to improve their network security. In this scenario, SD-WAN emerges as one formidable option to implementthat will bolster your network security.
Table of Contents:
- What is SD-WAN?
- How does SD-WAN work?
- What are the main benefits of SD_WAN to network security?
- What are the other advantages of SD-WAN?
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Let’s dig into it.
What is SD-WAN?
SD-WAN stands for software-defined wide area network (or networking). A WAN is a connection between local area networks (LANs) separated by a substantial distance—anything from a few miles to thousands of miles. The term software-defined implies the WAN is programmatically configured and managed. So, it can be easily adapted quickly to meet changing needs.
How does SD-WAN work?
An SD-WAN connects end users to virtually any application, hosted at any location (e.g., in the public cloud or a company data center), via the best available or most feasible transport service, whether that’s an MPLS (Multiprotocol Label Switching), broadband, cellular or even satellite internet link. To deliver this level of flexibility and performance to users in digital workspaces, an SD-WAN utilizes a control function that continuously analyzes traffic flows across the WAN and intelligently directs traffic in accordance with current policies.
Centralized control
The primary means of control in an SD-WAN is centralized. It often resides in a SaaS application running on a public cloud. Control is decoupled from the hardware to simplify network management and improve the delivery of services. SD-WAN appliances (and virtual appliances) follow operational rules passed down from the central controller. This greatly reduces or eliminates the need to manage gateways and routers on an individual basis.
Multi-connection, multi-transport
SD-WAN gateways support hybrid WAN, which implies that each gateway can have multiple connections using different transports—MPLS, broadband Internet, LTE, etc. A virtual private network (VPN) is typically set up across each WAN connection for security. Consequently, the SD-WAN can be an overlay spanning a diverse communications infrastructure.
Dynamic path selection
Another feature of SD-WAN is dynamic path selection—the ability to automatically and selectively route traffic onto one WAN link or another depending on network conditions or traffic characteristics. Packets may be steered onto a particular link because another link is down or not working very well, or to balance network traffic across all available links. SD-WAN can also identify packets by application, user, source/destination, etc. and send them down one path or another based on those characteristics.
Policy-based management
Policy is what determines where dynamic path selection will steer traffic and what level of priority (quality of service, or QoS) it is given. Business intentions can be implemented as policies via the central management console. New and updated policies are translated into operational rules and downloaded to all SD-WAN gateways and routers under control.
For example, to ensure the best performance for VoIP and interactive web conferences, a policy may be created by giving their packets transmission priority and routing them onto low-latency paths. Cost savings can be realized by sending file back-ups across a broadband Internet connection. WAN traffic that requires a high level of security can be restricted to private connections (e.g., MPLS) between sites and required to pass through a robust security stack when entering the enterprise.
Service chaining
SD-WAN has the ability chain itself together with other network services. WAN optimization (acceleration) is often combined with SD-WAN to improve network and application performance. Internet traffic leaving and entering a branch office may be routed across a VPN to a cloud-base security service to strike a balance between performance, security, and cost.
Read more: GET THE MOST OUT OF YOUR SD-WAN: FEATURES YOU NEED TO START USING TODAY
What are the main benefits of SD_WAN to network security?
Eliminate VPN concerns
One of the first areas in which SD-WAN impacts security is when a company uses the internet as a method of transport.
Before SD-WAN came along and companies were using internet as a backup or even a primary transport method, they would build a VPN or a DMVPN to ensure secure transport of their traffic. This introduces a couple of issues, the first of which is this proliferation of VPNs that has to be managed. The company must have firewalls sitting at their data center, along with a VPN device or firewall sitting in the remote locations to be able to do these VPNs. Every site is dependent on the effort to be up on the network.
- Hamza Seqqat, Director of Solutions Architecture, Apcela
Failover is an issue with this VPN approach, he said. Companies can’t seamlessly failover from a fiber-based type of transport without having to strike some keys in between. It's hard and expensive to do seamless failover.
“Now you don't have to have firewalls for VPNs. You don't have to worry about building your own VPNs or encrypting your traffic,” Seqqat said. “Every SD-WAN product comes with a controller that takes care of things seamlessly. That means there is this smart software-defined engine that builds all these IPsec tunnels between all the locations as soon as you plug the device in. You're not actually having to build a VPN—the controller does it automatically for you, so all you have to do is give the device an IP address or enable DHCP and let it pick an IP address from the DHCP server. Suddenly it's on the network and its building tunnels to all the sites.”
He added that the SD-WAN controller builds a full mesh, so it can talk to every one of the sites without having to go back to the data center. This feature alone can reduce a company’s security footprint significantly because the site-to-site traffic becomes secure, easy, and seamless.
Reduce traffic going through security
A second significant benefit of SD-WAN that impacts security strategy is that it reduces the amount of traffic that needs to go through security parameters because all site-to-site traffic is encrypted. This makes security a bit easier to manage.“For a lot of companies, when they do VPNs for site-to-site traffic, they have to go through firewalls or some kind of encryption mechanism, and that increases their security footprint. It increases the complexity and the cost of security,” Seqqat said. “SD-WAN changes how traffic is routed through security.”
Seqqat gave an example of a site that has a gig worth of bandwidth, and out of that gig of bandwidth, some traffic goes to the internet and some goes to site-to-site.
“Without SD-WAN, generally you would have to run that whole gig through a firewall, and the firewall will split the traffic into what goes to the data center and what goes to the internet,” he said. “When you do SD-WAN, you don't have to do that. You can separate the traffic at the SD-WAN with a split tunnel, so you take half of the traffic and push it through the firewall to go to the internet and the other half goes straight site-to-site without having to go through a security parameter. Now you have a firewall to handle 500 megs as opposed to a gig, and that makes a huge difference because most security products are based on throughput and utilization. So, that can bring some cost benefits and ease management as well.”
Security inherent to SD-WAN
A third area where SD-WAN changes security strategy is the fact that certain security features can be implemented directly through the SD-WAN platform, which reduces costs and complexity in the actual security platform.
“This depends on what aspects of security you're talking about,” Seqqat said. “For example, security is included in the Silverpeak SD-WAN product, so the Silverpeak devices really do most of the security for you. You don't have to deploy another firewall on top of that. With Versa’s SD-WAN, you can virtualize the firewall, so there’s no need to deploy physical firewalls.”
For sites that simply need very basic security, SD-WAN has some inherent security capabilities. It can do things such as allow and deny certain sites and limit traffic that goes to certain sites.
When you look at most SD-WAN products, you can usually kind of steer toward one or another based on your security requirements. Deploying SD-WAN in itself can really eliminate the need for security at several locations or extend the security you have been using.
- Hamza Seqqat, Director of Solutions Architecture, Apcela
Simplify use of security platforms
In his final point, Seqqat said SD-WAN providers are making a lot of progress in partnering with both cloud security providers and cloud service providers. By making traffic encrypted and secure via SD-WAN, security platforms will only have to deal with public internet traffic.
“SD-WAN providers are really working towards partnering and certifying different security products,” he said. “Consider Zscaler as an example. Some SD-WAN products automatically route all your traffic through Zscalar, which does a cloud-based security parameter before it goes out to the internet or to cloud service providers.”
Seqqat said the most important part comes in the fact that Zscalar is distributed across 35 or 40 data centers that are all security parameters.
“Making that routing decision as to what data center your traffic goes through before it goes out to the Internet is extremely important to performance,” he said. “If your Office 365 instance is hosted in Seattle and your users in Europe are trying to reach that, which Zscalar data center the traffic is going to go through before it goes through the Seattle instance of O365 makes all the difference in what latency is going to be at round trip.
“SD-WAN provides somewhat of an automation and optimization of how traffic goes through Zscalar data centers based on performance metrics. SD-WAN can pull latency and jitter and packet loss and all that kind of stuff, so there is some intelligence that happens when a routing decision is being made as to where user traffic is going to go for security scrubbing or security features before it goes out to the cloud provider or to the Internet. That’s a huge feature that comes into play whenever you deploy SD-WAN.”
Read more: FOR SERVICE PROVIDERS SD-WAN IS A MIXED BLESSING
What are the other advantages of SD-WAN?
SD-WAN has many advantages when implemented well:
More predictable and reliable application performance, which helps support users in any digital workspace, across all connections. Superior connection security for cloud applications, without the performance tradeoffs of MPLS backhauling. Congestion reduction due to lack of bandwidth or brownouts with aggregation of bandwidth via multiple bonded and disparate or redundant links.
More reliable access to apps and fewer slowdowns due to congestion.
Resiliency and redundancy with fast failover when outages impact WAN connections.
Quality of service for prioritizing business-critical application traffic.
Fast deployments that fuel business agility when bringing applications online at a branch office, or simply changing the configurations. Zero-touch provisioning allows fast set up of sites in minutes with local staff instead of hours or days.
Reduced network transport costs and more flexibility through the use of MPLS-alternatives like broadband and cellular. Quick procurement of bandwidth from multiple transport services, contrast to the long lead times needed with legacy WAN carrier-based technologies.
Simplified administration with a centralized console eliminates the complexity of configuring edge devices in the field.
Deep SD-WAN analytics to monitor links for performance characteristics. Analytics benefit administrators who can use them when troubleshooting problems across the WAN.
Simpler branch office infrastructure that doesn’t require management of as many single-function devices
Intelligent traffic steering and dynamic path selection
Integrated security with leading 3rd-party solutions, including those for SaaS security
Conclusion
Interest in SD-WAN among organizations is on the rise, and we hope to see a tremendous rise in its adoption in network security strategies over the next few years. Vendor selection will be one of the factor for successful implementation of SD-WAN, as many are quickly developing new and effective software-defined platforms. An ideal vendor would be the one who effectively addresses your specific pain points and is able to meet your current as well as future requirements.
Read more: SD-WAN SECURITY: THE IMPACT OF ORCHESTRATED SERVICES MULTIPLICITY
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Unified Communications, Network Security
Article | July 10, 2023
The next-generation of wireless technologies – known as 5G – is here. Not only is it expected to offer network speeds that are up to 100 times faster than 4G LTE and reduce latency to nearly zero, it will allow networks to handle 100 times the number of connected devices, revolutionizing business and consumer connectivity and enabling the “Internet of Things.” Leading policymakers – federal regulators and legislators – are making it a top priority to ensure that the wireless industry has the tools it needs to maintain U.S. leadership in commercial 5G deployments. This blog provides monthly updates on FCC actions and Congressional efforts to win the race to 5G.
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Network Management
Article | November 22, 2021
Applications of AI/ML
Modern businesses are adopting Artificial Intelligence (AI) that encompasses disciplines like machine learning (ML), natural language processing (NLP), evolutionary computation, etc., to increase their productivity and management capabilities.
Companies like Qualcomm are using AI and machine learning to improve their customer experience.
“Across many industries, we are currently experiencing the creation of intelligent machines that is using AI to simulate smart behavior.”
-Dr. Vinesh Sukumar, Senior Director- Head of AI/ML Product Management at Qualcomm, ( in an interview with Media7)
The application of machine learning in networking is swiftly taking shape. However, as the problems in modern computer networks are getting tedious to handle, AI tools are being introduced to hard-carry their smooth functioning.
Let’s take a look at how network complexity impacts businesses:
Difference in Network Parameters
Different client devices like laptops, smartphones, CCTV cameras, etc., are connected to a single network. However, their requirements and parameters are different. Therefore, the IT team of the business needs to meet them without compromising the functionality and security of the network.
Users Prefer Wireless Networks
Wireless networks are more complex than wired ones. They perform dynamically depending on the number of users, applications, and other variables.
Impact of Cloud Computing
Most applications are now cloud-based, and such a network has multiple data entry points and requires more support.
User Experience
Deciphering root cause analysis, finding correlation and solutions becomes tedious without an AI/ML model. Complex patterns remain unanalyzed, and this creates a vacuum between the customer and the business.
What Does ML Bring to the Table?
Machine learning applications in networking correlate to solving four types of network problems: clustering, extraction, regression, and classification.
For classification and regression, ML clusters similar data and creates a gap between data groups. It then successfully maps a new set of data to a pre-set continuously valued output. As for extraction, it easily establishes a statistical relationship between the data it analyzes.
Machine learning applications in networking encompass the following:
Automation and Cognitive Computing
ML enables automation in data processing by eliminating the human error factor and constantly improving with time. It analyzes data, improves the productivity, security, and health of the network. Cognitive computing allows processing diverse data sets, detecting and finding root causes and common traits within the system.
Network Monitoring & Security
Network monitoring is used to solve problems in a large dataset by deciphering the hidden pattern in the data. It then predicts the outcome for clustered data, malware attacks, or impending network failure. It recognizes impending threats in time and sends out warnings. ML uses anomaly-based intrusion, misuse-based intrusion, or hybrid intrusion to prevent misuse, modification, unauthorized access, or malfunction.
Traffic Prediction, Classification, and Routing
Network traffic prediction is important to handle any mishaps proactively. Network analysis in machine learning is done by using Time Series Forecasting (TSF). By using a regression model solution, TSF finds a correlation between the traffic volume in the future and the traffic previously observed.
Traffic classification ensures Quality of Service (QoS), planning ahead for capacity, security, performance analysis, etc. It helps with proper resource utilization by pinpointing unnecessary traffic in a critical application.
Factors like cost-effectiveness, link utilization, operational capabilities, and policies are also considered by the ML model.
Congestion Control
ML models control the number of packets that enter a network to ensure that the network is stable, fairly utilize resources, and follow queue management employed for congestion control.
Efficiently Managing Resources
ML efficiently manages network resources like the CPU, frequency, switches, memory, routers, etc., by using analytical decision-making.
ML Learning Curve
ML models learn in the following ways:
Pitfalls
Like any other technology, machine learning application in networking comes with pitfalls and limitations. Here are a few:
Data Quality
The efficiency of an ML model is based on the quality, quantity, and diversity of data it processes so it can deduce patterns or identify root causes. Most ML models use simplistic synthetic data for training, validation, and performance. The same cannot be said about practical settings because the data comes from different applications and services and is more complex.
Feasibility
There are scalability and feasibility issues because each network and application is different. Moreover, there are no set standards for uniformity for implementation which makes it hard to set benchmarks or best practices. Control over autonomic networks is distributed and remains limited based on the vendor’s specific devices.
Predictive Analysis and Its Cost
Network analysis and machine learning prediction require additional accurate and effective monitoring investments. Moreover, fault management may have some potholes as there may be a scarcity of normal fault data.
High FPR (False Positive Rates)
Anomaly detection by ML in networking has not created enough buzz in the industry because it generates high FPRs during operations. Also, no detailed anomaly report is generated, so no anomaly history log can be maintained.
Striking a Balance
ML requires time to learn and mitigate issues. It is difficult to identify, in advance, how complex the ML’s approach will be. Striking a balance between the performance and computational cost is difficult. Deciphering comprehensive evaluation metrics is also a tedious task.
No Theoretical Model
There is no theoretical model, in turn, a unified theory, for ML in networking, so each network may have to be learned separately. The current machine learning applications in networking are made keeping in mind certain applications. Over time, more research to tailor ML for certain networks needs to be done. Cross-domain experts who understand both ML and networking are also rare.
Solutions
Software Defined Networking (SDN)
CISCO helped PwC Italy set up a secure network at their new twenty-eight-floor tower with the help of their SD-Access product. PwC wanted a secure, robust network with increased Wi-Fi and wired connectivity for their 3000 employees by streamlining network operations.
“We needed a robust and highly reliable wireless network infrastructure that’s as advanced as the tower itself.”
-Simone Demaria,Network Architect and Infrastructure Manager at PwC Italy
By applying Software Defined Network (SDN), IT personnel can remotely govern network policies in real-time through open interfaces, so traffic engineering is easily possible. SDN also contributes to network virtualization.
SDN supports the upcoming 5G ecosystem. When combined with NFV and VNF, SDN can revolutionize networking.
Going Beyond Traffic Volume & Prediction
To tackle the limitations that TSF-based traffic prediction models have, leveraging features beyond traffic prediction and concentrating on traffic interpolation and sampling could be viable. Research is ongoing on this possibility.
Summing It Up
As the influx of data keeps on increasing, the complexity of networks will increase in tandem. For successfully implementing ML for streamlining networking, the ML approaches we are aware of today need to be upgraded to accommodate multi-layer networks and multi-tenancy so autonomic networking can be a reality.
FAQs
How Can ML Help in Making Networking Smarter?
ML can streamline the network by automation, threat detection, and improving its performance.
How Complex Is Integrating ML into Networking?
The complexity depends on the type of network you are integrating it into.
What to Keep in Mind Before Using Ml in Networking?
Consider investment costs, data availability, feasibility, and scalability.
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