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AlJammaz Technologies
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Arbor Sightline Mobile: Visibility for Threat Detection in 4G and 5G Networks

14/6/2023

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​Mobile networks have become the dominant way of accessing the Internet owing to their increased speeds, throughput, convenience, and reliability. Many ISPs are now offering consumer premise equipment for home and small office environments that leverage high- speed 4G/5G connectivity. Traffic levels have escalated quickly as the distinction in the way consumers use wired and wireless connectivity blurs. Unfortunately, along with the growth in traffic and numbers of connected devices, network operators have experienced an increase in threat activity.
  • Increased use of mobile to access gaming services has brought with it a huge increase in DDoS activity. Wasting expensive network capacity on low-level DDoS activity is less than ideal for any operator, but the bigger service performance and availability risk comes from the potential to congest key elements of mobile network infrastructure either through traffic volume or state exhaustion.
  • The proliferation of vulnerable consumer IoT and other compromised Internet-facing infrastructure connected over mobile networks has driven a significant increase in botnet populations on mobile networks. This brings with it increased risk of outbound / cross bound DDoS activity, as well as other resource consuming behaviors such as scanning, etc.
The threats within mobile networks now echo those seen in wireline environments over the past decade. Wireline ISPs all over the world, of every shape and size, utilize Arbor Sightline for traffic monitoring and reporting, threat detection, traceback and mitigation. NETSCOUT has developed Sightline Mobile to extend Sightline visibility and threat protection functions into the mobile network domain using telemetry from MobileStream. 
NETSCOUT has combined the essential building blocks (Smart Data for visibility; Sightline for threat detection) to deliver a highly scalable solution to protect the performance and availability of mobile data services. 

Key Benefits 
  • Detect Outbound Traffic Anomalies from Subscribers – Detect DDoS attacks and other potentially service-impacting traffic anomalies generated by mobile devices. Instantly visualize detailed information on the characteristics of any anomalies and understand the impact the traffic has on the network and services, as well as the identities of the mobile subscribers involved. 
  • Identify Infrastructure Congestion Threats – Identify user-plane traffic anomalies passing through mobile infrastructure endpoints. Build baselines of normal traffic levels to immediately identify shifts that may cause bandwidth or state congestion within the network. Visualize detailed information on the nature of any anomaly and the affected. 
  • Detect Inbound / Cross-Bound Traffic Anomalies to Subscribers – Detect DDoS attacks and other traffic anomalies destined for or between mobile connected devices. Visualize detailed information on any traffic anomaly, including subscriber identity, cell-id etc., and understand the impact it is having on the environment. 
  • Identify Compromised Subscribers – Quickly identify compromised mobile devices by correlating traffic information with Indicators of Compromise (IoCs) from NETSCOUT’s ATLAS® global threat intelligence. Understand botnet populations and other DDoS-related threats within the network, and the risk they pose. 
  • Extend User-Plane Traffic Visibility – Develop detailed views into real-time and historical user-plane traffic trends. Identify traffic mapping to the underlying routing topologies (with BGP) for traffic engineering, and capacity planning use cases. 
  • Perform Top Talker Analysis – Easily identify top sources of traffic within the endpoint population. Identify top protocols and services and usage outliers to help tailor service offerings and identify Acceptable Use Policy violations. 
 
​For more information please contact AlJammaz Technologies or download the datasheet:
​
sightline-mobile-and-mobilestream.pdf
File Size: 239 kb
File Type: pdf
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