32 citations · 38 across the 5 of their papers we have counts for
8 papers
Phishing Detection Leveraging Machine Learning and Deep Learning: A Review
Dinil Mon Divakaran, Adam Oest
Phishing attacks trick victims into disclosing sensitive information. To counter rapidly evolving attacks, we must explore machine learning and deep learning models leveraging larg…
SIERRA: Ranking Anomalous Activities in Enterprise Networks
Jehyun Lee, Farren Tang, Phyo May Thet +3
An enterprise today deploys multiple security middleboxes such as firewalls, IDS, IPS, etc. in its network to collect different kinds of events related to threats and attacks. Thes…
Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten
Quoc Phong Nguyen, Ryutaro Oikawa, Dinil Mon Divakaran +2
As the use of machine learning (ML) models is becoming increasingly popular in many real-world applications, there are practical challenges that need to be addressed for model main…
A Step Towards On-Path Security Function Outsourcing
Jehyun Lee, Min Suk Kang, Dinil Mon Divakaran +3
Security function outsourcing has witnessed both research and deployment in the recent years. While most existing services take a straight-forward approach of cloud hosting, on-pat…
A Survey of Privacy-Preserving Techniques for Encrypted Traffic Inspection over Network Middleboxes
Geong Sen Poh, Dinil Mon Divakaran, Hoon Wei Lim +2
Middleboxes in a computer network system inspect and analyse network traffic to detect malicious communications, monitor system performance and provide operational services. Howeve…
On the Feasibility and Enhancement of the Tuple Space Explosion Attack against Open vSwitch
Levente Csikor, Vipul Ujawane, Dinil Mon Divakaran
Being a crucial part of networked systems, packet classification has to be highly efficient; however, software switches in cloud environments still face performance challenges. The…