Detection of Anomalous Encrypted Traffic
… against attacks targeted at encrypted protocols because they … developed to defend attacks
against encrypted protocols. In … The various attack categories which DTRAB will address are …
against encrypted protocols. In … The various attack categories which DTRAB will address are …
Toward identifying malicious encrypted traffic with a causality detection system
ZR Zeng, P Xun, W Peng, BK Zhao - Journal of Information Security and …, 2024 - Elsevier
… and promotion of encryption protocols such as TLS1.3 [1,2]. … To address the insufficient
traffic feature limitations of … In summary, the attack detection process based on the causal …
traffic feature limitations of … In summary, the attack detection process based on the causal …
AKER: An open-source security platform integrating IDS and SIEM functions with encrypted traffic analytic capability
A Esseghir, F Kamoun, O Hraiech - Journal of Cyber Security …, 2022 - Taylor & Francis
… using the HTTPS protocol and this usage is expected to raise in future [Citation3]. Nonetheless,
nearly half of malware attacks in 2015 used encryption … Methods based on traffic feature …
nearly half of malware attacks in 2015 used encryption … Methods based on traffic feature …
Rule‐Based Approach for Botnet Behavior Analysis
… [1] have proposed a new detection method known as DTRAB to predict the DDOS attacks. …
N., DTRAB: Combating against attacks on encrypted protocols through traffic-feature analysis. …
N., DTRAB: Combating against attacks on encrypted protocols through traffic-feature analysis. …
Using Machine Learning to Detect Botnets in Network Traffic Check for updates
S Rai, SA Sajidha, VM Nisha… - Machine Learning and …, 2023 - books.google.com
… DTRAB [8] method, we can prevent DDoS attacks by detecting those attacks which are
encapsulated through encryption and are against the application-level protocol using a …
encapsulated through encryption and are against the application-level protocol using a …
LITNET-2020: An annotated real-world network flow dataset for network intrusion detection
… 85 network flow features of the dataset and 12 attack types. … features for detecting attacks
against encrypted protocols and … items were removed, preventing the classifiers from achieving …
against encrypted protocols and … items were removed, preventing the classifiers from achieving …
Using Machine Learning to Detect Botnets in Network Traffic
S Rai, SA Sajidha, VM Nisha… - … Conference on Machine …, 2022 - Springer
… DTRAB [8] method, we can prevent DDoS attacks by detecting those attacks which are
encapsulated through encryption and are against the application-level protocol using a …
encapsulated through encryption and are against the application-level protocol using a …
Hybrid deep neural architecture for detection of ddos attacks in cloud computing
A Bhardwaj, V Mangat, R Vig - … : Proceedings of Sixth ISTA 2020, India, 2021 - Springer
… vectors, a competent technique is essential for combating these new attacks. In … encrypted
application level protocol attacks using monitoring stubs. Monitoring stubs analyze encrypted …
application level protocol attacks using monitoring stubs. Monitoring stubs analyze encrypted …
Investigating the prospect of leveraging blockchain and machine learning to secure vehicular networks: A survey
… Considering cost analysis, FlexRay protocol implementation … and software attacks. One is
that the attacker can gain access … in selecting trustworthy nodes and preventing an attacker to …
that the attacker can gain access … in selecting trustworthy nodes and preventing an attacker to …
Balancing QoS and security in the edge: Existing practices, challenges, and 6G opportunities with machine learning
… analysis of various methods ranging from no encryption to … Using these various encryption
protocols with varying key … to combat these attacks is to use VPNs typically using layer-2 …
protocols with varying key … to combat these attacks is to use VPNs typically using layer-2 …