Network Protection Solution. Toni Ala-Mutka.
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1 Network Protection Solution Toni Ala-Mutka
2 New Offering Solution Products Synergy Enhances Service Gateway solution with security services: Based on Esphion s netdeflect TM Automated DDoS detection and prevention system System to identify/manage infected subscribers (Zombies) New detection probe NetDeflecter Will also be implemented on Service Gateway blade New centralized threat processing server NetDeflecter provides detection NetEnforcer provides mitigation 2 4 June 2010
3 Addressable Market Targets service provider market Covering security needs Network protection Attacks that risk service availability Propagation of worms Attacks on subscribers and high value customers Mitigation by filtering/limiting bad traffic Infected subscribers Subscriber-generating attacks, SPAM etc. Mitigation by filtering/limiting or isolating to captive portal for cleaning 3 4 June 2010
4 Benefits to Customers Risk Management Reduce network service disruption/outages Prevent blacklisting and brand damage Opex/Capex Savings International bandwidth Infrastructure upgrade MTA, router, peering links Call center complaints Opportunity for Value-Added Services New revenues from protection services 4 4 June 2010
5 Deployment and System Components NetXplorer NetDeflecter Controller Peering Partners NetDeflecter probe Subscribers xdsl NetEnforcer Core IP Network NetEnforcer NetEnforcer MAN Enterprise Clients NetDeflecter probe NetDeflecter probe NetDeflecter probe 5 4 June 2010 IDC
6 System Architecture NetDeflecter Controller Presentation and Configuration (Web GUI / CLI) Notification subsystem ( , syslog, SNMP trap, SOAP/XML) Anomaly Event logging (SQL db) Operator NetXplorer Signature Identification and Presentation (Currently NBAD only. Snort,/Cisco/Fortinet) Packet sample NetDeflecter Probe Behavioural modelling and Detection NBAD HBAD TCP/IP header packet parsing NetEnforcer / Service Gateway Network 4xGE 2x10GE 6 4 June 2010
7 DDoS Attack Starts Alert Operator ISP Victim Peering Partners Peering Partners Peering Partners 7 4 June 2010
8 Issue Command to Block/Rate-Limit Operator Victim Command NetXplorer ISP Peering Partners Peering Partners Peering Partners 8 4 June 2010
9 Case Study: DDoS Network Protection Leading Asian ISP >1million BB subscribers 12 x GE probes and 1 x Controller Deployed on GE peering links and subscriber links Use router ACLs to mitigate DDoS DDoS attacks affected many customers Difficulty identifying and tracking down attacks Too many false alarms from IDS Esphion didn t require flow from routers Low false positive rate, high true positive rate Enabled unprecedented 10 minute (internal) SLA 9 4 June 2010
10 Case Study: Isolating Zombie Subscribers Leading Asian ISP > 500K BB subscribers 4 x 10GE probes and 1 x Controller Deployed on 10GE aggregation links RedBack BRAS to quarantine subscribers Problems with subscriber zombies Esphion was the only available 10GE solution False alarms from IDS Antivirus gateways were unsuitable 10 4 June 2010
11 Customer Success Stories Customer Before After Hong Kong Service outage, degradation and collateral damage to customer network services. Difficulty identifying and isolating DDoS attacks quickly and efficiently Unprecedented SLAs for mitigating attacks. Pre-emptive blocking, reduced frequency and duration of outages Australia Loss of network services to key hosting clients during DDoS attacks. Previously difficult to identify and isolate DDoS attacks quickly Saved A$750K/year in SLA penalties and network engineering costs Thailand SPAM, DOS and other zombie activity leading to loss of services, performance degrade, brand damage, excessive international Internet costs, OPEX costs Automatic identification and management of undesirable subscriber network behavior 11 4 June 2010
12 Esphion and DDoS Competition Esphion Today Main DDoS Competition High performance Low network disruption High reliability Low false positives High quality signatures 12 4 June 2010
13 Competitive Advantage Esphion HIGH PERFORMANCE 10GE in production today. Full line rate 4GE. LOW NETWORK DISRUPTION Does NOT require flows from routers. HIGH RELIABILITY Independent of router no CPU loading. Speed improves with attack magnitude. LOW FALSE POSITIVES <5% false alarms >95% rate true positives HIGH QUALITY SIGNATURES Produced in real-time on n/w. Very accurate June 2010 Arbor, Cisco, IPSs Arbor/Cisco don have a DDoS solution for 10GE networks! IPS s - lack performance required for SP networks. Arbor/Cisco - require flows output from routers for detection. Off and on-ramp cleansing requires significant implementation. Cisco - is limited for heterogeneous networks. Arbor/Cisco number of flows can increase with attack size. Collector overload, network congestion, router failure. IPS s latency and dropped-packets increase during heavy attacks Arbor - too many false positives and missed legitimate attacks Cisco - detection is not traditionally used with Cisco mitigation. IPS s - suffer from too many false alarms on SP networks Arbor/Cisco filters/fingerprints lack accuracy and will block both good and bad traffic. IPS s new signatures takes days and weeks to publish and lack accuracy. Inadequate for new or Zero Day attacks.
14 Integration with Allot Available Now External probe Manual transfer of Esphion rule to NetXplorer/NetEnforcer policy Roadmap Automated transfer of Esphion rule (under operator control) Detection blade inside Service Gateway Integration of management systems
15 Target Customers New and current SPs using Allot AC-1000, AC-2500 or SG-Omega customers Tier 1 and Tier 2 SPs with more than 100,000 subscribers or with significant number of business customers SPs looking for DPI and DDoS capabilities Pure DDoS solution (detect and mitigate) Subscriber SPAM, subscriber zombies DNS attacks SPs offering managed services Online gaming, banks/finance, content portals, government SPs with internal/external SLA problems due to DDoS 15 4 June 2010
16 Sales Process Identify telco/isp needs Experiencing/recent PAIN? Planning new products or services? PROBLEMS driving upgrade/expansion? Presentation focus points Proof of concept 1-2 month high-touch fine-tuned exercise Simulate attacks if they don t occur naturally Objections/competitors 16 4 June 2010
17 Identify Needs Experiencing/recent PAIN? Widespread high profile outages High profile victims Planning new PRODUCTS or services? DDoS protection services Tiered subscriber services PROBLEMS driving upgrade/expansion? International bandwidth costs Call center Opex Capex 17 4 June 2010
18 Presentation Points Focus on needs Namely Reduce Opex Manage/delay Capex Manage risk Increase revenue from value added services Refer to Benefits slide 18 4 June 2010
19 Proof of Concept (POC) Identify ideal POC location Installation and tuning: 1-2 days Product test/familiarization time: 1-2 months Assurances of stability See real-life attacks Simulate attacks if not naturally occurring Demonstrate mitigation with NetEnforcer Fine-tune for low alarm rate and high reliability High contact with stakeholders 19 4 June 2010
20 Typical Objections Company stability/longevity Technology credibility speed, accuracy, 10GE Scalability Integrated solution for detection and mitigation After-sales in-country support GUI user friendliness We already use X We are a Cisco shop 20 4 June 2010
21 Questions and Answers
22 BACKUP SLIDES 22 4 June 2010
23 Full Packet Attack Signature 23 4 June 2010
24 Esphion Filter Commands 24 4 June 2010
25 Alert Is Sent 25 4 June 2010
26 Attack Details 26 4 June 2010
27 About Esphion Pronounced [es-fee-un] Launched 2002, VC funded, R&D HQ in Auckland, New Zealand Primarily focused on APAC Customers in Australia, NZ, China, Hong Kong, Thailand, JV in Japan Mainly focus on large, mature, mission-critical Internet businesses and IP networks Telcos, ISPs, IDCs, ICPs - also enterprise success stories! 27 4 June 2010
28 Typical DDoS Resolution Process Typically hours elapse. Can be days if repeated sporadically for short periods! 20 mins 30 minutes minimum if lucky! 10 minutes 1 2 Denial of Service Attack/s are launched Customer complaint to helpdesk about poor network performance. Helpdesk performs preliminary investigation and troubleshooting. 3 Helpdesk escalates to 2 nd /3 rd tier support. 2 nd /3 rd tier begin their own troubleshooting. For example, enabling IP accounting (flows), connecting network analyzer to capture packets, checking logs. 4 Engineer forms a decision. Approval. Elapsed time 5 Mitigation applied ACL, null route, disconnect, call upstream, call offending customer Customer suffers for hours Perhaps over many days 1 hour from the call before resolution. If they are lucky! 28 4 June 2010
29 Process Enabled by Esphion Detect and alert within 1 minute 3 Mitigation applied Elapsed time 2 1 Helpdesk receives pre-qualified and quantified alarm. 2 nd tier quickly validates details and response is accelerated. Denial of Service Attack/s are launched Attack mitigated in minutes - customer is unaware 29 4 June 2010
30 Problems with Current Solutions Manual approaches (Sniffer, flow /log analysis) are reactive and too SLOW and INCONSISTENT to meet internal/external SLAs Flow-based detection is UNRELIABLE during attacks due to router deprioritization of flow generation, flow congestion on network and overload of flow collector IDS/IPS packet signature detection approaches often fail to detect ad hoc attacks such as DDoS and Zero Day worms Stateful/application level systems are not intended for network level flooding attacks introducing potential choke point or point of failure 30 4 June 2010
31 DDoS Protection with NetDeflecter + NetEnforcer DDoS/Worm attack Internet 1 NetEnforcer 3 Esphion Agent 2 Esphion Controller Core IP network 1. Detect DoS/DDoS/Zero Day worm 2. Quick creation of detailed packet filter to apply on NetEnforcer 3. Rate-limits or blocks IP and/or protocol+port to limit/block impact Residential 31 4 June 2010
32 Isolate Subscriber Zombies 1. Detect zombie activity - worm/dos/spam 2. Esphion triggers filter/rate-limit on NetEnforcer applies policy to IP address or IP range 3. Undesirable traffic is blocked or rate-limited Internet Zombie activity DSL network 1 3 NetEnforcer Core IP Network Residential BRAS Esphion Agent Esphion Controller June 2010
33 Data Sheet 33 4 June 2010
34 Performance Specifications 34 4 June 2010
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