T
Tooska Dargahi
Researcher at University of Salford
Publications - 55
Citations - 1527
Tooska Dargahi is an academic researcher from University of Salford. The author has contributed to research in topics: Encryption & Kill chain. The author has an hindex of 15, co-authored 49 publications receiving 911 citations. Previous affiliations of Tooska Dargahi include Islamic Azad University, Science and Research Branch, Tehran & University of Rome Tor Vergata.
Papers
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Journal ArticleDOI
A systematic literature review of blockchain cyber security
TL;DR: It is shown that the Internet of Things (IoT) lends itself well to novel blockchain applications, as do networks and machine visualization, public key cryptography, web applications, certification schemes and the secure storage of Personally Identifiable Information (PII).
Journal ArticleDOI
A Survey on the Security of Stateful SDN Data Planes
TL;DR: This paper specifically highlights possible vulnerabilities specific to stateful in-switch processing (including denial of service and saturation attacks), which it believes should be carefully taken into consideration in the ongoing design of current and future proposals for stateful SDN data planes.
Journal ArticleDOI
On the Feasibility of Attribute-Based Encryption on Internet of Things Devices
Moreno Ambrosin,Arman Anzanpour,Mauro Conti,Tooska Dargahi,Sanaz Rahimi Moosavi,Amir M. Rahmani,Pasi Liljeberg +6 more
TL;DR: A thorough evaluation confirms that adopting attribute-based encryption in the IoT is indeed feasible, considering well-known IoT platforms--specifically, Intel Galileo Gen 2, Intel Edison, Raspberry Pi 1 Model B, and Raspberry Pi Zero.
Book ChapterDOI
Cyber Threat Intelligence: Challenges and Opportunities
TL;DR: This introductory chapter discusses the notion of cyber threat intelligence and its main challenges and opportunities, and briefly introduces the chapters of the book which either address the identified challenges or present opportunistic solutions to provide threat intelligence.
Posted Content
On the Feasibility of Attribute-Based Encryption on Internet of Things Devices
Moreno Ambrosin,Arman Anzanpour,Mauro Conti,Tooska Dargahi,Sanaz Rahimi Moosavi,Amir M. Rahmani,Pasi Liljeberg +6 more
TL;DR: In this article, the authors explore the feasibility of ABE in the Internet of Things (IoT) and conclude that it is indeed feasible for the IoT platforms, namely, Intel Galileo Gen 2, Intel Edison, Raspberry Pi 1 Model B, and Raspberry Pi Zero.