Rida Khatoun

A machine learning based approach for the detection of sybil attacks in c-ITS

By Badis Hammi, Mohamed Yacine Idir, Rida Khatoun

2022-09-01

In The 23rd asia-pacific network operations and management symposium

Abstract

The intrusion detection systems are vital for the sustainability of Cooperative Intelligent Transportation Systems (C-ITS) and the detection of sybil attacks are particularly challenging. In this work, we propose a novel approach for the detection of sybil attacks in C-ITS environments. We provide an evaluation of our approach using extensive simulations that rely on real traces, showing our detection approach?s effectiveness.

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Survey on smart homes: Vulnerabilities, risks, and countermeasures

By Badis Hammi, Sherali Zeadally, Rida Khatoun, Jamel Nebhen

2022-06-01

In Computers & Security

Abstract

Over the last few years, the explosive growth of Internet of Things (IoT) has revolutionized the way we live and interact with each other as well as with various types of systems and devices which form part of the Information Communication Technology (ICT) infrastructure. IoT is having a significant impact on various application domains including healthcare, smart home, transportation, energy, agriculture, manufacturing, and many others. We focus on the smart home environment which has attracted a lot of attention from both academia and industry recently. The smart home provides a lot of convenience to home users but it also opens up various risks that threaten both the security and privacy of the users. In contrast to previous works on smart home security and privacy, we present an overview of smart homes from both academic and industry perspectives. Next we discuss the security requirements, challenges and threats associated with smart homes. Finally, we discuss countermeasures that can be deployed to mitigate the identified threats.

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Is it really easy to detect sybil attacks in c-ITS environments: A position paper

By Badis Hammi, Yacine Mohamed Idir, Sherali Zeadally, Rida Khatoun, Jamel Nebhen

2022-04-01

In IEEE Transactions on Intelligent Transportation Systems

Abstract

In the context of current smart cities, Cooperative Intelligent Transportation Systems (C-ITS) represent one of the main use case scenarios that aim to improve peoples? daily lives. Thus, during the last few years, numerous standards have been adopted to regulate such networks. Within a C-ITS, a large number of messages are exchanged continuously in order to ensure that the different applications operate efficiently. However, these networks can be the target of numerous attacks. The sybil attack is among the most dangerous ones. In a sybil attack, an attacker creates multiple identities and then disguises as several fake stations in order to interfere with the normal operations of the system or profit from provided services. We analyze recently proposed sybil detection approaches regarding their compliance with the current C-ITS standards as well as their evaluation methods. We provide several recommendations such as network and attack models as well as an urban and highway datasets that can be considered in future research in sybil attack detection.

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