| Title |
Conference |
Tags |
| U21: Protecting Mobile Devices from Malware Attacks with a Python IDS |
DEEPSEC-2020 - Vienna, Austria |
|
| Money Doesn't Stink - Cybercriminal Business Insight of A New Android Botnet |
BlackHatEurope-2019 - London, United Kingdom |
|
| Malware Uncertainty Principle: an Alteration of Malware Behavior by Close Observation |
BOTCONF-2017 - montpellier,france |
|
| Detecting malware even when it is encrypted - Machine Learning for network HTTPS analysis |
brucon-2017 - brussels,belgium |
|
| Getting Your Hands Dirty: How to Analyze the Behavior of Malware Traffic and Web Connections |
botconf-2016 - lyon,france |
|
| Detecting the Behavioral Relationships of Malware Connections |
botconf-2016 - lyon,france |
|
| The Network Behavior of Targeted Attacks. Models for Malware Identification and Detection |
Hacktivity-2015 - budapest,hungary |
|
| Modelling the network behaviour of malware to block malicious patterns. The Stratosphere Project: a behavioural IPS |
VirusBulletin-2015 - Prague,czech republic |
|
| Identifying and Detecting Botnet Behaviors in the Network |
BSidesVienna-2014 - Rahlgasse,Vienna |
|
| Botnets Behavioral Patterns in the Network |
Hacklu-2014 - Luxembourg,Germany |
|
| Uncovering your trails. Privacy issues of bluetooth devices. |
ekoparty-2013 - Buenos Aires, Argentina |
|
