Add to ORKGTransport Layer Security (TLS) based malware is one of the most hazardous malware types, as it relies on encryption to conceal connections. Due to the complexity of TLS traffic decryption, several anomaly-based detection studies have been conducted to detect TLS-based malware using different features and machine learning (ML) algorithms. However, most of these studies utilized flow features with no feature transformation or relied on inefficient flow feature transformations like frequency-based periodicity analysis and outliers percentage. This paper introduces TLSMalDetect, a TLS-based malware detection approach that integrates periodicity-independent entropy-based flow set (EFS) features generated by a flow feature transformation techniqu...
Recently, the amount of encrypted malicious network traffic masquerading as normal traffic of data h...
Recently, the amount of encrypted malicious network traffic masquerading as normal traffic of data h...
Anti-malware vendors receive daily thousands of potentially malicious binaries to analyse and catego...
The growth of malware utilizing encrypted channels makes it challenging to detect malicious activity...
The transport layer security (TLS) protocol is widely adopted by apps as well as malware. With the g...
Each year the world's dependency on the internet grows, especially its functionality relating to cri...
In parallel with the rapid adoption of transport layer security (TLS), malware has utilized the encr...
The growing trend of encrypted network traffic is changing the cybersecurity threat scene. Most cri...
The growing trend of encrypted network traffic is changing the cybersecurity threat scene. Most cri...
While the Internet is moving towards more and more encryption of the network traffic, it is also a t...
In recent times with Covid 19, there has been an increase in digital usage due to social distancing....
The research project aims to find ways to detect malicious packets inside encrypted network traffic....
The research project aims to find ways to detect malicious packets inside encrypted network traffic....
In recent times with Covid 19, there has been an increase in digital usage due to social distancing....
In recent times with Covid 19, there has been an increase in digital usage due to social distancing....
Recently, the amount of encrypted malicious network traffic masquerading as normal traffic of data h...
Recently, the amount of encrypted malicious network traffic masquerading as normal traffic of data h...
Anti-malware vendors receive daily thousands of potentially malicious binaries to analyse and catego...
The growth of malware utilizing encrypted channels makes it challenging to detect malicious activity...
The transport layer security (TLS) protocol is widely adopted by apps as well as malware. With the g...
Each year the world's dependency on the internet grows, especially its functionality relating to cri...
In parallel with the rapid adoption of transport layer security (TLS), malware has utilized the encr...
The growing trend of encrypted network traffic is changing the cybersecurity threat scene. Most cri...
The growing trend of encrypted network traffic is changing the cybersecurity threat scene. Most cri...
While the Internet is moving towards more and more encryption of the network traffic, it is also a t...
In recent times with Covid 19, there has been an increase in digital usage due to social distancing....
The research project aims to find ways to detect malicious packets inside encrypted network traffic....
The research project aims to find ways to detect malicious packets inside encrypted network traffic....
In recent times with Covid 19, there has been an increase in digital usage due to social distancing....
In recent times with Covid 19, there has been an increase in digital usage due to social distancing....
Recently, the amount of encrypted malicious network traffic masquerading as normal traffic of data h...
Recently, the amount of encrypted malicious network traffic masquerading as normal traffic of data h...
Anti-malware vendors receive daily thousands of potentially malicious binaries to analyse and catego...