... provenance graphs (or otherwise said, important part of host logs), our ... detection using provenance graph and metric learning. In: 2020 IEEE Conference on ... learning Identifying Tactics of Advanced Persistent Threats 23 References.

... advanced persistent threats with limited attack traces. In: Tripathy, S ... threat detection using provenance graph and metric learning. In: 2020 IEEE ... data. In: 2018 IEEE 4th International Conference on Collaboration and Internet ...

Advanced Persistent Threat is the first comprehensive manual that discusses how attackers are breaking into systems and what to do to protect and defend against these intrusions.

This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods.

The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks.

This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential.

This book addresses automated software fingerprinting in binary code, especially for cybersecurity applications.

This book is intended to be a valuable resource for business leaders, security officers, and consultants who want to understand and implement enterprise security by considering a set of core security capabilities and services.

In its explanation of the fundamentals of cybersecurity and the discussion of potential policy responses, this book will be a resource for policy makers, cybersecurity and IT professionals, and anyone who wants to understand threats to ...

This book contains papers and panel discussions from the Fourteenth Annual Working Conference on Database Security, which is part of the Database Security: Status and Prospects conference series sponsored by the International Federation for ...