i-DarkVec: Incremental Embeddings for Darknet Traffic Analysis
Darknets are probes listening to traffic reaching IP addresses that host no services. Traffic
reaching a darknet results from the actions of internet scanners, botnets, and possibly …
reaching a darknet results from the actions of internet scanners, botnets, and possibly …
DarkVec: Automatic analysis of darknet traffic with word embeddings
Darknets are passive probes listening to traffic reaching IP addresses that host no services.
Traffic reaching them is unsolicited by nature and often induced by scanners, malicious …
Traffic reaching them is unsolicited by nature and often induced by scanners, malicious …
[PDF][PDF] Data reduction for the scalable automated analysis of distributed darknet traffic
Threats to the privacy of users and to the availability of Internet infrastructure are evolving at
a tremendous rate. To characterize these emerging threats, researchers must effectively …
a tremendous rate. To characterize these emerging threats, researchers must effectively …
Sensing the noise: Uncovering communities in darknet traffic
Darknets are ranges of IP addresses advertised without answering any traffic. Darknets help
to uncover interesting network events, such as misconfigurations and network scans …
to uncover interesting network events, such as misconfigurations and network scans …
A scalable network event detection framework for darknet traffic
M Gao, RKP Mok - Proceedings of the 22nd ACM Internet Measurement …, 2022 - dl.acm.org
Unsolicited network traffic captured by network telescopes, namely darknet traffic, provides
important data for studying malicious Internet activities, such as network scanning [9], the …
important data for studying malicious Internet activities, such as network scanning [9], the …
A probabilistic model to preprocess darknet data for cyber threat intelligence generation
E Bou-Harb - 2016 IEEE International Conference on …, 2016 - ieeexplore.ieee.org
Internet traffic destined to routable yet unallocated IP addresses is commonly referred to as
telescope or darknet data. Such unsolicited traffic is frequently, abundantly and effectively …
telescope or darknet data. Such unsolicited traffic is frequently, abundantly and effectively …
DANTE: A framework for mining and monitoring darknet traffic
Trillions of network packets are sent over the Internet to destinations which do not exist. This
'darknet'traffic captures the activity of botnets and other malicious campaigns aiming to …
'darknet'traffic captures the activity of botnets and other malicious campaigns aiming to …
Darkdetect: Darknet traffic detection and categorization using modified convolution-long short-term memory
Darknet is commonly known as the epicenter of illegal online activities. An analysis of
darknet traffic is essential to monitor real-time applications and activities running over the …
darknet traffic is essential to monitor real-time applications and activities running over the …
Towards a taxonomy of darknet traffic
J Liu, K Fukuda - 2014 International Wireless Communications …, 2014 - ieeexplore.ieee.org
Darknets can be used to monitor unexpected network traffic destined for allocated but
unused IP address blocks, thus providing an effective traffic measurement technique for …
unused IP address blocks, thus providing an effective traffic measurement technique for …
DarknetSec: A novel self-attentive deep learning method for darknet traffic classification and application identification
J Lan, X Liu, B Li, Y Li, T Geng - Computers & Security, 2022 - Elsevier
Darknet traffic classification is crucial for identifying anonymous network applications and
defensing cyber crimes. Although notable research efforts have been dedicated to …
defensing cyber crimes. Although notable research efforts have been dedicated to …