Attacks evenly split across network and application layers
Web-based attacks remain the single most common attack vector
1 in every 4 are HTTPS
Increase reflective attacks cause UDP attacks to increase
From 7% in 2013 to 16% in 2014
Reflective attacks represent 2014’s single largest DDoS “headache”
Prefix Sum Algorithm | Prefix Sum Array Implementation | EP2Kanahaiya Gupta
Prefix sum algorithm is mainly used for range query and the complexity of prefix sum algorithm is O(n).
This video explains the working of prefix sum algorithm.
This is the second part of the video and please watch the first part (why you must learn prefix sum algorithm) before watching this.
✅ Why you must learn prefix sum algorithm part one link : https://youtu.be/scD312I7kkE
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Cassandra Backups and Restorations Using Ansible (Joshua Wickman, Knewton) | ...DataStax
A solid backup strategy is a DBA's bread and butter. Cassandra's nodetool snapshot makes it easy to back up the SSTable files, but there remains the question of where to put them and how. Knewton's backup strategy uses Ansible for distributed backups and stores them in S3.
Unfortunately, it's all too easy to store backups that are essentially useless due to the absence of a coherent restoration strategy. This problem proved much more difficult and nuanced than taking the backups themselves. I will discuss Knewton's restoration strategy, which again leverages Ansible, yet I will focus on general principles and pitfalls to be avoided. In particular, restores necessitated modifying our backup strategy to generate cluster-wide metadata that is critical for a smooth automated restoration. Such pitfalls indicate that a restore-focused backup design leads to faster and more deterministic recovery.
About the Speaker
Joshua Wickman Database Engineer, Knewton
Dr. Joshua Wickman is currently part of the database team at Knewton, a NYC tech company focused on adaptive learning. He earned his PhD at the University of Delaware in 2012, where he studied particle physics models of the early universe. After a brief stint teaching college physics, he entered the New York tech industry in 2014 working with NoSQL, first with MongoDB and then Cassandra. He was certified in Cassandra at his first Cassandra Summit in 2015.
Prefix Sum Algorithm | Prefix Sum Array Implementation | EP2Kanahaiya Gupta
Prefix sum algorithm is mainly used for range query and the complexity of prefix sum algorithm is O(n).
This video explains the working of prefix sum algorithm.
This is the second part of the video and please watch the first part (why you must learn prefix sum algorithm) before watching this.
✅ Why you must learn prefix sum algorithm part one link : https://youtu.be/scD312I7kkE
Subscribe for more and hit the bell icon to get video updates:
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Share this video with a YouTuber friend: https://youtu.be/pVS3yhlzrlQ
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All hackerrank solutions: https://www.youtube.com/watch?v=oz_yowFTrgs&list=PLSIpQf0NbcCltzNFrOJkQ4J4AAjW3TSmA
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Cassandra Backups and Restorations Using Ansible (Joshua Wickman, Knewton) | ...DataStax
A solid backup strategy is a DBA's bread and butter. Cassandra's nodetool snapshot makes it easy to back up the SSTable files, but there remains the question of where to put them and how. Knewton's backup strategy uses Ansible for distributed backups and stores them in S3.
Unfortunately, it's all too easy to store backups that are essentially useless due to the absence of a coherent restoration strategy. This problem proved much more difficult and nuanced than taking the backups themselves. I will discuss Knewton's restoration strategy, which again leverages Ansible, yet I will focus on general principles and pitfalls to be avoided. In particular, restores necessitated modifying our backup strategy to generate cluster-wide metadata that is critical for a smooth automated restoration. Such pitfalls indicate that a restore-focused backup design leads to faster and more deterministic recovery.
About the Speaker
Joshua Wickman Database Engineer, Knewton
Dr. Joshua Wickman is currently part of the database team at Knewton, a NYC tech company focused on adaptive learning. He earned his PhD at the University of Delaware in 2012, where he studied particle physics models of the early universe. After a brief stint teaching college physics, he entered the New York tech industry in 2014 working with NoSQL, first with MongoDB and then Cassandra. He was certified in Cassandra at his first Cassandra Summit in 2015.
The Open Systems Interconnection model (OSI model) is a conceptual model that characterizes and standardizes the communication functions of a telecommunication or computing system without regard to their underlying internal structure and technology. Its goal is the interoperability of diverse communication systems with standard protocols. The model partitions a communication system into abstraction layers. The original version of the model defined seven layers.
Recurrent Neural Networks hold great promise as general sequence learning algorithms. As such, they are a very promising tool for text analysis. However, outside of very specific use cases such as handwriting recognition and recently, machine translation, they have not seen wide spread use. Why has this been the case?
In this presentation, we will first introduce RNNs as a concept. Then we will sketch how to implement them and cover the tricks necessary to make them work well. With the basics covered, we will investigate using RNNs as general text classification and regression models, examining where they succeed and where they fail compared to more traditional text analysis models. A straightforward open-source Python and Theano library for training RNNs with a scikit-learn style interface will be introduced and we’ll see how to use it through a tutorial on a real world text dataset
Information retrieval 10 vector and probabilistic modelsVaibhav Khanna
Vector space model or term vector model is an algebraic model for representing text documents (and any objects, in general) as vectors of identifiers, such as, for example, index terms. It is used in information filtering, information retrieval, indexing and relevancy rankings.
Software Defined Networking - Huawei, June 2017Novosco
An overview of Huawei Cloud Campus Networks and Software Defined Networking. Presented at Novosco's Network and Infrastructure event, Dublin, June 2017.
Presentation was delivered in a fault tolerance class which talk about the achieving fault tolerance in databases by making use of the replication.Different commercial databases were studied and looked into the approaches they took for replication.Then based on the study an architecture was suggested for military database design using an asynchronous approach and making use of the cluster patterns.
Radware DefenseFlow-The SDN Application That Programs Networks for DoS Security Radware
http://www.radware.com/Products/DefenseFlow/
Learn about the industry's first SDN application that enables network operators to program the network to provide DDoS protection as a native network service.
The Open Systems Interconnection model (OSI model) is a conceptual model that characterizes and standardizes the communication functions of a telecommunication or computing system without regard to their underlying internal structure and technology. Its goal is the interoperability of diverse communication systems with standard protocols. The model partitions a communication system into abstraction layers. The original version of the model defined seven layers.
Recurrent Neural Networks hold great promise as general sequence learning algorithms. As such, they are a very promising tool for text analysis. However, outside of very specific use cases such as handwriting recognition and recently, machine translation, they have not seen wide spread use. Why has this been the case?
In this presentation, we will first introduce RNNs as a concept. Then we will sketch how to implement them and cover the tricks necessary to make them work well. With the basics covered, we will investigate using RNNs as general text classification and regression models, examining where they succeed and where they fail compared to more traditional text analysis models. A straightforward open-source Python and Theano library for training RNNs with a scikit-learn style interface will be introduced and we’ll see how to use it through a tutorial on a real world text dataset
Information retrieval 10 vector and probabilistic modelsVaibhav Khanna
Vector space model or term vector model is an algebraic model for representing text documents (and any objects, in general) as vectors of identifiers, such as, for example, index terms. It is used in information filtering, information retrieval, indexing and relevancy rankings.
Software Defined Networking - Huawei, June 2017Novosco
An overview of Huawei Cloud Campus Networks and Software Defined Networking. Presented at Novosco's Network and Infrastructure event, Dublin, June 2017.
Presentation was delivered in a fault tolerance class which talk about the achieving fault tolerance in databases by making use of the replication.Different commercial databases were studied and looked into the approaches they took for replication.Then based on the study an architecture was suggested for military database design using an asynchronous approach and making use of the cluster patterns.
Radware DefenseFlow-The SDN Application That Programs Networks for DoS Security Radware
http://www.radware.com/Products/DefenseFlow/
Learn about the industry's first SDN application that enables network operators to program the network to provide DDoS protection as a native network service.
We will explore why the current industry approach to security is failing us. We will then discuss how building security as an architecture can raise the security level for any organization. An architectural approach is required to take security to the next level and defend against modern threats. We will discuss how you can use Cisco solutions to build a true security architecture.
"In this session, we will address the current threat landscape, present DDoS attacks that we have seen on AWS, and discuss the methods and technologies we use to protect AWS services. You will leave this session with a better understanding of:
DDoS attacks on AWS as well as the actual threats and volumes that we typically see.
What AWS does to protect our services from these attacks.
How this all relates to the AWS Shared Responsibility Model."
The DDoS challenge of today has become a revenue generating opportunity for Converged Service Providers, Mobile Carriers as well as Wireline and Cable Carriers. While hardened centralized DDoS scrubbing operations are increasingly inflexible and becoming obsolete, localized DDoS mitigation operations are becoming the solution of choice for many. A new approach to DDoS protection, visibility and scalability is enabling Providers with new opportunities for revenue generating services--at a fraction of the cost of traditional DDoS defense solutions. This slide deck explains how the DDoS challenge has become an opportunity for the modern day Service Provider.
DDoS Mitigation Solution
360° Protection for Your IT Network Resources
Distributed denial of service attacks continues to evolve in scale, complexity, and sophistication: more distributed, high volumetric traffic, and intruding on the application layer.
A successful attack can potentially enhance unwanted costs on your IT setup and infrastructure. More significantly, it can lead to revenue & brand loss and can hurt customer satisfaction.
To combat these attacks from reaching the enterprise network, you need a resilient, scalable, and secure solution.
HaltDos DDoS Mitigation Solution is an artificial intelligence-based IT security solution that automatically detects and accurately mitigates cyber-attacks on websites and IT Networks in real-time. It provides round the clock multi-layered security with combined network behavioral analysis (NBA), heuristic and reputation techniques to automatically detect and accurately mitigate a wide range of network and application layer DDoS attacks without any human intervention with minimal latency.
Scaling service provider business with DDoS-mitigation-as-a-serviceCloudflare
During the webinar, Vivek Ganti, Product Marketing Manager for Cloudflare, & Jim Hodges, Chief Analyst of Cloud and Security at Heavy Reading, discussed how service providers are regular targets of DDoS attacks, and how these attacks directly impact their uptime, availability, and revenue.
DDoS Defense for the Hosting Provider - Protection for you and your customersStephanie Weagle
Distributed Denial of Service (DDoS) attacks are major threats to hosting providers as well as datacenter operators, and traditional game plans for protecting shared infrastructure should be revisited to better protect availability and allow hosting providers to potentially create incremental revenue streams. DDoS attacks can have a devastating impact on not only the customer under attack, but also on the hosting provider and other customers within the same shared network infrastructure.
PLNOG14: Czy można żyć bez systemu ochrony przed atakami DDoS - Marek JanikPROIDEA
Marek Janik - Huawei
Language: Polish
W trakcie sesji postaram sie zaprezentować sposoby ochrony sieci przed atakami DDoS, zarówno ogólno dostępnych, specjalizowanych oraz jako forma usługi od operatora lub dedykowanej firmy. Po prezentacji będzie można samemu ocenić czy „jakieś” i „jakie” rozwiązanie AntiDDoS jest potrzebne ze względu na prowadzona działalność w Internecie.
Zarejestruj się na kolejną edycję PLNOG już dzisiaj: krakow.plnog.pl
BKNIX Peering Forum 2017 : DDoS Attack Trend and Defense StrategyNexusguard
Thai Network Information Center Foundation (THNICF) in cooperation with BKNIX is holding BKNIX Peering Forum 2017 on 15-16 May 2017 at VIE Hotel Bangkok, Phayathai Road, Ratchathewi. The forum is focusing on the talks about prevention of DDoS attack and the update of technologies for internet users.
Our Product Director, Mr. Donny Chong, shared the DDoS attack trend and defense strategy to the internet service providers in the region.
Terabit DDoS Protection System DPS is a software package for the detection of DDoS attacks and their subsequent treatment. Terabit DPS will help to ensure maximum availability of your network and eliminate any disruptions caused by DoS/DDoS attacks.
En 2019, NSFOCUS Security Labs detectó más de 400,000 ataques DDoS lanzados a través de botnets, un fuerte aumento en comparación con 2018 (8323 ataques DDoS). Según nuestra observación, Las botnets que se ejecutaban en dispositivos IoT eran principalmente de las familias Mirai y Gafgyt. Estas dos familias fueron explotadas para lanzar más del 60% de los ataques DDoS en la primera mitad de 2019. NSFocus posee una de las soluciones más potentes y robustas del mercado, con 20 años de Experiencia y 8 Centros de Limpieza (Scrubbing Center) Desplegados en todo el Globo. Con una capacidad de mitigación de 7 Tbps
PLNOG 13: Adam Obszyński: Case Study – Infoblox Advanced DNS ProtectionPROIDEA
Adam Obszyński – pracuje w Infoblox jako Senior Systems Engineer odpowiedzialny za CEE. Wcześniej pracował w Cisco, u kilku integratorów (NXO, MCX, ATM) i operatorów (ATMAN, Polbox, Multinet). Posiada doświadczenie w projektowaniu i wdrażaniu rozwiązań sieciowych i aplikacyjnych. W branży od 20 lat. Certyfikowany inżynier CCIE #8557 oraz CISSP. Prowadził prezentacje i warsztaty na wielu konferencjach w kraju i za granicą (m.in. Cisco Live US & EU, Cisco Forum, Cisco Expo, PLNOG).
Temat prezentacji:Case Study – Infoblox Advanced DNS Protection
Język prezentacji: Polski
Abstrakt:
Słyszałeś o typach ataków wymienionych poniżej? A może doświadczyłeś ich w swojej sieci?
Phantom domain attack
NXDomain attack
DNS reflection/DrDoS attacks
DNS amplification
DNS cache poisoning
Protocol anomalies
DNS tunneling
DNS hijacking
Na poprzednim PLNOG mówiłem o unikalnej ochronie DNS za pomocą Infoblox ADP. Tym razem opowiem o tym co nowego zrobiliśmy w ramach ochrony DNS oraz zaprezentuje przypadki ze środowisk sieciowych naszych klientów.
Opowiem co się działo w sieci klientów i jak uporaliśmy się z problemami ataków na DNS.
Rozwiązanie Advanced DNS Protection od Infoblox dostarcza kompleksowe rozwiązanie do ochrony przed wieloma atakami na usługi DNS. System w inteligentny sposób odróżnia poprawny ruch DNS od złośliwego ruchu DDoS generowanego przez atakujących, takich jak DNS, exploity i słabości. Automatycznie usuwa ruch atakujący podczas gdy z pełną wydajnością odpowiada na poprawny ruch DNS. Ponadto, Advanced DNS Protection otrzymuje automatyczne aktualizacje swoich polityk/reguł, zapewniając stałą ochronę przed wszelkimi nowościami w tej dziedzinie. Infoblox jest pierwszym i jedynym producentem, który oferuje tak wyjątkowe i unkalne rozwiązanie dla najwyższej ochrony krytycznych usług DNS. Więcej szczegółów o rozwiązaniach dla operatorów: www.infoblox.com/sp
Availability
How do you ensure business applications are delivered under attacks?
Performance
How do you ensure consistent user experience when your network is under attack?
Security
What is the cost of data loss or abuse of your resources?
Scalability
How do you ensure future growth while minimizing initial spending?
Cost reduction
How to address all the above while reducing costs?
3. The Rise of the Continuous Attack
Longer, larger and more sophisticated
attacks. Constant attacks on the rise.
In previous years - attacks that were considered
“constant” never exceeded 6%
In 2014 - 19% were considered “constant”
Attack size also increases – 1 of 7 attacks larger
than 10G in 2014.
%
5%
10%
15%
20%
25%
30%
35%
40%
Less than a day 1 hour-1 day 1 day-1 week over a week Constantly
2011 2012 2013 2014
In 2014, 19% of attacks
were considered “constant”
4. No One is Immune – Unexpected Targets
Threats in new industries, organizational
sizes and technology deployments
Healthcare and Education – unexpected targets
now at risk
Gaming, Hosting and ISP companies – increased
likelihood
2014 Change from 2013
4
5. Reflective Attacks – the Largest DDoS Headache
Attacks evenly split across network and application
layers
Web-based attacks remain the single most
common attack vector
– 1 in every 4 are HTTPS
Increase reflective attacks cause UDP attacks to
increase
– From 7% in 2013 to 16% in 2014
Reflective attacks represent 2014’s single largest
DDoS “headache”
10%
16%
6%
18%
Network 51%
TCP- Other UDP
IPv6 1% TCP-SYN Flood
ICMP
9%
23%
16%
Application 49%
VoIP 1% Web (HTTP/HTTPS)
SMTP DNS
6. Complexity of Attacks Continues to Grow
Multi-vector attacks target all layers of the infrastructure
IPS/IDS
“Low & Slow” DoS
attacks (e.g.Sockstress)
Large volume network
flood attacks
Syn
Floods
Network
Scan
HTTP Floods
SSL Floods App Misuse
Brute Force
Cloud DDoS protection DoS protection Behavioral analysis IPS WAF SSL protection
Internet Pipe Firewall Load Balancer/ADC Server Under Attack SQL Server
6
7. The Need: High Performance with Comprehensive Protection
Protection from both sophisticated and volumetric attacks.
Carriers and cloud providers
- Need to support a growing number of customers with increased complexity and capacity.
- Require high end devices that can handle growth and scale (mitigation, bandwidth, complexity
and number of served customers).
Current competitor offerings today require to chose between high performance and
attack mitigation coverage/quality
7
9. Radware’s New Attack Mitigation Platform
Widest range of protections at high mitigation capacity, including UDP reflection attacks,
fragmented and out-of-stack floods
Up to 300Gbps throughput inspection while allowing customers to enjoy the widest range of
simultaneous cyber-attack protection in the industry
230M PPS anti-DDoS along with best-in-class DNS, SIP, SMTP, HTTPS, and other application
protections
Commercial grade out-of-the-box compliance and customer tenancy managing over 1,000
policies in a secure Role-Based Access control format
First dedicated attack mitigation platform to offer 100G interfaces
No compromise: High performance + High mitigation capacity + Widest protection
9
10. DefensePro x4420 - Technical Highlights
Total throughput up to 300G
- Legit traffic throughput up to 160G
- BW license 50G/100G/160G
High port density (with any port type support)
- 4x100G (QSFP28)
- 4 x 40GbE (QSFP+)
- 20 x 1/10GbE (SFP+)
New ‘Performance’ mode - up to 230M Attack
PPS (supports SYN protection, packet anomaly,
BL/WL)
Up to 1,000 active policies
Space conservative - only 2U of rack space
DefensePro x4420
11. DefensePro Layers of Defense
Behavioral-based protections
DME
DDoS Mitigation Engine
(230M PPS)
L7 Regex Acceleration
ASIC
Multi Purpose Multi Cores CPU’s
& Reputation Engine
Hardware Architecture – Tailored for Attack Mitigation
11
12. Multi Tenancies Support
Separate processing capabilities per tenant
Role based access control for management permissions per policy
Each tenant can view and monitor only the resources that are relevant for them
Personalized, per tenant, historical reporting, dashboards and event management
12
13. DefensePro x4420 - Summary
Highest rate mitigation with widest coverage - up to 230M PPS
Any port connectivity - including 100G ports
Designed for multi tenancy (MSSP/Carriers/Cloud) - Up to 1000 policies
New scalable SW Architecture
Compact form factor – 2U only
16. DefensePro x4420 Technical Specification
Features DefensePro x4420
DefensePro Model DP model 504420 – 50 Gbps
DP model 1004420 – 100 Gbps
DP model 1604420 – 160 Gbps
Network Location Core Network
Hardware Platform OnDemand Switch HT
Performance
Capacity 300 Gbps
Max Legit Throughput 160 Gbps
Max Concurrent Sessions 25,000,000
Maximum DDoS Flood Attack
Prevention Rate
230,000,000 packets per second
Latency 60 micro seconds
Real time signatures Detect and protect attacks in less than 18 seconds
Physical Ports
Traffic Ports 4x 100 GbE QSFP28
4 x 40 GbE QSFP+
20 x 10GbE SFP+
Management Ports 2 * 1 Gbe Copper, out of band
RS-232 RJ-45 Serial Connection
16
17. DefensePro x4420 Technical Specification – Cont.
Features DefensePro x4420
Operation Mode
Network Operation Transparent L2 Forwarding, IP Forwarding
Deployment Modes In-line; SPAN Port Monitoring; local out-of-path; Out-of-path mitigation (scrubbing center
solution)
Tunneling protocols support VLAN Tagging, L2TP, MPLS, GRE, GTP, IPinIP
IPv6 Full IPv6 support for detection and mitigation
Policy Action Block & Report, Report Only
Block Actions Drop packet, reset (source, destination, both), suspend (source, src port, destination, dest
port or any combination), Challenge-Response for TCP, HTTP and DNS suspicious traffic
High Availability
Dual Power Supply Yes
Advanced internal overload
mechanism
Yes
High Availability deployment -
Active-Passive
Yes
17
18. DefensePro x4420 Technical Specification – Cont.
Features DefensePro x4420
Physical
Dimensions (W x D x H) mm 2U: 424x600x88 mm
EIA Rack or Standalone: 482 mm (19 in)
Weight (kg, lb) 18.7Kg
Power Supply Auto-range supply:
AC: 100-240 V, 47-63 Hz
DC: -36~-72 V
Dual power supply (AC/DC)
Power Consumption 890W
Heat Dissipation (BTU/h) 2930 BTU/hr
Operating Temperature 0-40°C (32-104°F)
Humidity (non-condensing) Humidity: 5% to 95% non-condensing
Certifications Safety: CE LVD( EN 60950-1), CB - IEC 60950-1, CCC, cTUVus, C-Tick
EMC: CE EMC (EU directive 2004/108/EC), FCC Part 15B Class A, ICES-003, VCCI
RoHS Compliant (EU directive 2011/65/EC)
18
Editor's Notes
Cyber-attacks have reached a tipping point in terms of quantity, length, complexity and targets. Extra-large attacks are seen on a daily basis—and these attacks are targeting all types of organizations.
In 2014, one in seven attacks was larger than 10G. And we've seen attacks in the 100Gbps+ size range.
Attacks are evolving to become longer, larger and more sophisticated. Beyond just the growth in high-volume attacks, we are seeing constant attacks on the rise.
In Radware's 2014-2015 report on the threat landscape, almost 20% of respondents report that they were continuously under attacks in 2014.
Threats have expanded to a broader range of industries, organizational sizes and technology deployments.
Continuing a four-year trend, cyber-attacks were again split evenly between the network and application levels. That’s because attackers’ “interest” lies in multi-sector blended attacks.
Web attacks remain the single most common attack vector; for every four web-based attacks, three target HTTP and one is an HTTPS attack.
Reflective attacks started heating up in 2013 and remained a persistent threat throughout 2014.
While most of 2013’s reflected attacks targeted DNS, we saw more UDP based (NTP, CHARGEN) reflective attacks in 2014.
Which is why we see UDP attacks in general increased from 7% in 2013 to 16% in 2014.
What makes reflective attacks effective is the ease with which they can be generated— and the impact they can have on a network.
Reflected attacks make it comparatively easy not only to generate an extra-large attack but also to sustain it for an extended period.
Attackers are deploying multi-vulnerability attack campaigns by increasing the number of attack VECTORS they launch in parallel. To target your blind spot, different attack vectors target different layers of the network and data center, for example Net DDoS, App DDoS, Low & slow, SSL attacks and Web attacks. Even If only one vector will go undetected then the attack is successful and the result is highly destructive
To effectively mitigate all type of DoS/DDoS attacks you need to go beyond protection at the network layer and implement a solution that gives you protection from the wide range of attacks types across all layers of the infrastructure.
DoS protection to detect and mitigate all type of network DDoS attacks
Behavioral Analysis to protect against application DDoS and misuse attacks. Behavioral-based real-time signatures and challenge-response mechanism can block the attack traffic accurately without blocking legitimate user traffic.
IPS to block known attack tools and the low and slow attacks
SSL protection to protect against encrypted flood attacks
WAF, web application firewall, to prevent web application vulnerability exploitations
Organizations need comprehensive protection and high performance to protect from both sophisticated and volumetric attacks.
Carriers and cloud providers today
Need to support a growing number of customers with increased complexity and capacity.
Require high end devices that can handle all the scale items (mitigation, bandwidth, complexity and number of served customers).
Current competitor offerings today require to chose between high performance and attack mitigation coverage/quality
A10 (Thunder 6630 ADC or 6435 TPS) – relatively strong performance but limited attack coverage (only SYN floods on the ADC device, no behavioral on the TPS)
F5 (BIG-IP 10250) – high/medium performance (80Gbps, 850M CPS) with limited attack coverage (L3 only)
Arbor (Peakflow TMS) – good attack coverage but limited performance (40 Gbps, 40 Mpps + 10G ports)
The industry's most advanced and highest performance attack mitigation platform.
You no longer have to choose between performance and quality of protection.
Attack mitigation platform that goes beyond just SYN flood protection to offer a wide range of protections at high mitigation capacity, including UDP reflection attacks, fragmented and out-of-stack floods.
Industry leading defense breadth: Up to 300Gbps throughput inspection while allowing customers to enjoy the widest range of simultaneous cyber-attack protection in the industry.
Industry leading defense depth: 230M PPS anti-DDoS along with best-in-class DNS, SIP, SMTP, HTTPS, and other application protections.
Commercial grade out-of-the-box compliance and customer tenancy managing over 1,000 policies in a secure Role-Based Access control format.
First dedicated attack mitigation platform to offer 100G interfaces – providing best in class attack detection and mitigation in the most demanding operational environments.