My research interest is in Network security and privacy like resource-constrained mobile devices (WSNs and smartphones); Green Networking; Cloud and Fog Networks and their security and privacy issues; distributed and networked systems.
- European Commission, MSCA-IF-GF, Marie Curie Fellowship - PRISENODE: Privacy- and secuRity-aware solutIons in SoftwarE-defiNed fOg Data cEnter, 2019-2021 (Under Review)(Principal Investigator)
- Italian Commission, Research Grant B, University of Padua Fellowship - Adaptive Failure and QoS-aware Controller over Cloud Data Center to Preserve Robustness and Integrity of the Incoming Traffic, 2018-2020 (52500 euro+ 5k euro), (Principal Investigator)
- GAUChO - A Green Adaptive Fog Computing and Networking Architecture), University of Rome, 2017-2020 (Team member)
- V-FoG - Vehicular Fog network, University of Rome, 2018-2019 (Team member)
European Commission, H2020-ICT30-2015 (Internet of Things and Platforms for Connected Smart Objects), TagItSmart! - Smart Tags driven service platform for enabling ecosystems of connected objects, 2016-2018 (Team member)
- European Commission, H2020-ICT-2014-2, Project ID: 671566, SUPERFLUIDITY, 2015-2018 (Team member)
- SAMMClouds - SAMMClouds: Secure and Adaptive Management of Multi-Clouds, University of Modena and Reggio Emilia, 2015-2016 (Team member)
- WISECLOUD - Wireless Internet SEnsing CLOUD, University of Rome, 2014-2016 (Team member)
- GCOMS - GCOMS: General Cargo Operations Management System, Rahyab Rayaneh Gostar, Tidewater, Iran 2008-2012 (Team member)
- TCTS - TCTS: Terminal System, Rahyab Rayaneh Gostar, Tidewater, Iran 2008-2010 (Team member)
Some Research Topics
Smartphones Security, Privacy, and Forensics.
In the world, there is an average of almost one mobile telephone per human being (one for each inhabitant in developed countries, one for every two inhabitants in developing countries). Computational capabilities of mobile devices have increased significantly, and they are commonly used as a personal device to store private data. However, their specific characteristics (user mobility, storage of personal information, communication features, among others) make the security and privacy of these devices particularly exposed.
Our primary contribution in this field has been the proposal of FeatureAnalytics, a new feature based solution to cover Android dataset which is available in [HERE]. Also, We propose new adversarial machine learning-aware model to tackle data manipulation and analyze the android datasets which is in review in IEEE TIFS.
More info on our attack and solutions (including the source code and a demo video) will be available soon.
Privacy and Security in Cloud/Fog Networking.
Cloud Data Centers (CDCs) have become a key aspect of the Internet Information and Communication Technology (IICT) sector. CDCs are facing with several issues like energy, electricity, carbon footprint, and some other environmental problems. Researchers often use several techniques to manage the energy inside and outside CDCs, e.g., temperature management technologies, virtualization, consolidations, VM/workload migrations, right-sizing, the use of some complex admission controls or new estimations of the incoming workloads, in order to avoid spikes or troughs in workload or SLA violations. The problem will be more problematic while the cloud service demands rise by raising mobile applications and leads to utilizing emerging technologies, especially Fog technology in the CDCs. In 2018, several issues were reported for CDCs, including security issues (i.e., switch and controller vulnerabilities and denial of service) and privacy issues (i.e., cloud data breaches, insufficient identity, credential, and access management, and cloud application account hijacking). These problems become more critical when the cloud traffic rate increases by virtue of increasing the number of cloud applications on mobile devices. Consequently, security and privacy become more complicated in CDC assurance.
In this way, to mitigate the raised issues, we introduced the concept of [Fog Data Center] and [Networked Fog Centers]. We also implemented these concepts in various real datasets and analyzed the CDC challenges, esp., tested on SDNs [with failure security issues] and [without failure security issues], [tested on WSNs], [mutually address cost/electricity of CDCs], tests on [distributed fog structure], and most recent one tested on [smart city network]. More info (including our software, and source code and demo video) can be found [HERE].
Wireless Sensor Networks (WSNs) Security and Privacy.
WSNs are networks made of thousands of very tiny nodes (also called "smart dust") with sensing capabilities. Applications of these networks can be found both in the military and local contexts (e.g., environmental monitoring). Due to their strict constraints (e.g., limited battery, computation, and communication) the design of secure and privacy-preserving WSNs is very challenging.