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A survey of DDoS attacking techniques and defence mechanisms in the IoT network
Internet-of-things has emerged out as an important invention towards employing the
tremendous power of wireless media in the real world. We can control our surroundings by …
tremendous power of wireless media in the real world. We can control our surroundings by …
Comprehensive review of artificial intelligence and statistical approaches in distributed denial of service attack and defense methods
Until now, an effective defense method against Distributed Denial of Service (DDoS) attacks
is yet to be offered by security systems. Incidents of serious damage due to DDoS attacks …
is yet to be offered by security systems. Incidents of serious damage due to DDoS attacks …
Understanding the mirai botnet
The Mirai botnet, composed primarily of embedded and IoT devices, took the Internet by
storm in late 2016 when it overwhelmed several high-profile targets with massive distributed …
storm in late 2016 when it overwhelmed several high-profile targets with massive distributed …
Sonata: Query-driven streaming network telemetry
Managing and securing networks requires collecting and analyzing network traffic data in
real time. Existing telemetry systems do not allow operators to express the range of queries …
real time. Existing telemetry systems do not allow operators to express the range of queries …
A search engine backed by Internet-wide scanning
Fast Internet-wide scanning has opened new avenues for security research, ranging from
uncovering widespread vulnerabilities in random number generators to tracking the evolving …
uncovering widespread vulnerabilities in random number generators to tracking the evolving …
All things considered: an analysis of {IoT} devices on home networks
D Kumar, K Shen, B Case, D Garg… - 28th USENIX security …, 2019 - usenix.org
In this paper, we provide the first large-scale empirical analysis of IoT devices in real-world
homes by leveraging data collected from user-initiated network scans of 83M devices in 16M …
homes by leveraging data collected from user-initiated network scans of 83M devices in 16M …
[HTML][HTML] An entropy-based network anomaly detection method
Data mining is an interdisciplinary subfield of computer science involving methods at the
intersection of artificial intelligence, machine learning and statistics. One of the data mining …
intersection of artificial intelligence, machine learning and statistics. One of the data mining …
Global measurement of {DNS} manipulation
Despite the pervasive nature of Internet censorship and the continuous evolution of how and
where censorship is applied, measurements of censorship remain comparatively sparse …
where censorship is applied, measurements of censorship remain comparatively sparse …
Booters—An analysis of DDoS-as-a-service attacks
In 2012, the Dutch National Research and Education Network, SURFnet, observed a
multitude of Distributed Denial of Service (DDoS) attacks against educational institutions …
multitude of Distributed Denial of Service (DDoS) attacks against educational institutions …
You've got vulnerability: Exploring effective vulnerability notifications
Security researchers can send vulnerability notifications to take proactive measures in
securing systems at scale. However, the factors affecting a notification's efficacy have not …
securing systems at scale. However, the factors affecting a notification's efficacy have not …