International Conference Papers

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Author: search.filters.author.Derhab, Abdelouahid

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    PReDIHERO – Privacy-Preserving Remote Deep Learning Inference based on Homomorphic Encryption and Reversible Obfuscation for Enhanced Client-side Overhead in Pervasive Health Monitoring
    (IEEE, 2021) Boulemtafes, Amine; Derhab, Abdelouahid; Ait Ali Braham, Nassim; Challal, Yacine
    Homomorphic Encryption is one of the most promising techniques to deal with privacy concerns, which is raised by remote deep learning paradigm, and maintain high classification accuracy. However, homomorphic encryption-based solutions are characterized by high overhead in terms of both computation and communication, which limits their adoption in pervasive health monitoring applications with constrained client-side devices. In this paper, we propose PReDIHERO, an improved privacy-preserving solution for remote deep learning inferences based on homomorphic encryption. The proposed solution applies a reversible obfuscation technique that successfully protects sensitive information, and enhances the client-side overhead compared to the conventional homomorphic encryption approach. The solution tackles three main heavyweight client-side tasks, namely, encryption and transmission of private data, refreshing encrypted data, and outsourcing computation of activation functions. The efficiency of the client-side is evaluated on a healthcare dataset and compared to a conventional homomorphic encryption approach. The evaluation results show that PReDIHERO requires increasingly less time and storage in comparison to conventional solutions when inferences are requested. At two hundreds inferences, the improvement ratio could reach more than 30 times in terms of computation overhead, and more than 8 times in terms of communication overhead. The same behavior is observed in sequential data and batch inferences, as we record an improvement ratio of more than 100 times in terms of computation overhead, and more than 20 times in terms of communication overhead.
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    Collaborative detection and response framework against SQL injection attacks in IoT-based smart
    (Springer Publisher whith IEEE, 2017-12-11) Boukhari, Chahira; Derhab, Abdelouahid; Guerroumi, Mohamed
    In this paper, we propose a collaborative detection and re- sponse framework against SQL injection attacks in IoT-based smart grids. The framework is composed of a set of host-based detection sys- tems; each of which is deployed at a smart meter, in addition, at the data management server. When an attack at one host is detected, the network administrator is noti ed and remotely patches the other hosts. The detection engine is lightweight as each smart meters analyzes the log le associated with its network traffic. Hence, the framework is sacalable to large IoT-based smart grids as the detection task is performed by each smart meter and does not rely on a single component. Prelimary results are promising in terms of true positive and false positive rates.o
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    SMART: Secure Multi-pAths Routing for wireless sensor neTworks
    (IEEE, 2014-06-22) Lasla, Noureddine; Derhab, Abdelouahid; Ouadjaout, Abdelraouf; Bagaa, Miloud; Challal, Yacine
    In this paper, we propose a novel secure routing protocol named Secure Multi-pAths Routing for wireless sensor neTworks (SMART) as well as its underlying key management scheme named Extended Twohop Keys Establishment (ETKE). The proposed framework keeps consistent routing topology by protecting the hop count information from being forged. It also ensures a fast detection of inconsistent routing information without referring to the sink node. We analyze the security of the proposed scheme as well as its resilience probability against the forged hop count attack. We have demonstrated through simulations that SMART outperforms a comparative solution in literature, i.e., SeRINS, in terms of energy consumption
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    Distributed Algorithm for the Actor Coverage Problem in WSN-based Precision Irrigation Applications
    (IEEE, 2011-05) Derhab, Abdelouahid; Lasla, Noureddine
    In this paper, we study the actor coverage problem with the goal of meeting the requirements of precision irrigation applications in Wireless sensor and Actor Networks (WSANs), which are : (1) the volume of water applied by actors should match plant water demand and (2) minimizing over-irrigation to the least extent. We take a novel approach to define and resolve the actor coverage problem. Based on this approach, we propose two algorithms : Centralized Actor-Coverage-IRRIG (CACI) and Distributed Actor-Coverage-IRRIG (DACI). The existing centralized and distributed approaches for the minimum cost actor coverage problem in WSANs are not optimal for all metrics. The communication scheme of DACI is designed in the way that it can keep the advantages of the centralized and the distributed approaches without inheriting their weaknesses. DACI constructs an actor cover set with the same optimality cost as CACI while incurring low signaling overhead. Complexity analysis and simulations results show that CACI and DACI are both better than the existing centralized algorithm in terms of cover set optimality. Also, DACI is better than the existing distributed algorithm in terms of message overhead.
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    DZ50: Energy-efficient Wireless Sensor Mote Platform for Low Data Rate Applications
    (Elsevier, 2014) Ouadjaout, Abdelraouf; Lasla, Noureddine; Bagaa, Miloud; Doudou, Messaoud; Zizoua, Cherif; Kafi, Mohamed Amine; Derhab, Abdelouahid; Djenouri, Djamel; Badache, Nadjib
    A low cost and energy e_cient wireless sensor mote platform for low data rate monitoring applications is presented. The new platform, named DZ50, is based on the ATmega328P micro-controller and the RFM12b transceiver, which consume very low energy in low-power mode. Considerable energy saving can be achieved by reducing the power consumption during inactive (sleep) mode, notably in low data rate applications featured by long inactive periods. Without loss of generality, spot monitoring in a Smart Parking System (SPS) and soil moisture in a Precision Irrigation System (PIS) are selected as typical representative of low data rate applications. The performance of the new platform is investigated for typical scenarios of the selected applications and compared with that of MicaZ and TelosB. Energy measurements have been carried out for di_erent network operation states and settings, where the results reveal that the proposed platform allows to multiply the battery lifetime up to 7 times compared to MicaZ and TelosB motes in 10s sampling period scenarios.
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    Mobility Impact on Mobile Ad hoc Routing Protocols
    (IEEE Computer Society, 2003) Djenouri, Djamel; Derhab, Abdelouahid; Badache, Nadjib
    An ad hoc network is a set of mobile units connected by wireless technologies, making an infrastructureless temporary network. without turning to a central administration. The network topology is unpredictable, dynamic, it may change any time. These topology changes make ad hoc networks challenging to implement routing protocols. In this paper, we study mobility effects on the performance of several mobile ad hoc routing protocols.
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    Half-Symmetric Lens based localization algorithm for wireless sensor networks
    (IEEE, 2012-10-25) Lasla, Noureddine; Derhab, Abdelouahid; Ouadjaout, Abdelraouf; Bagaa, Miloud; Ksentini, Adlen; Badache, Nadjib
    The area-based localization algorithms use only the location information of some reference nodes, called anchors, to give the residence area of the remaining nodes. The current algorithms use triangle, ring or circle as a geometric shape to determine the sensors' residence area. Existing works suffer from two major problems: (1) in some cases, they might issue wrong decisions about nodes' presence inside a given area, or (2) they require high anchor density to achieve a low location estimation error. In this paper, we deal with the localization problem by introducing a new way to determine the sensors' residence area which shows a better accuracy than the existing algorithms. Our new localization algorithm, called HSL (Half Symmetric Lens based localization algorithm for WSN), is based on the geometric shape of half-symmetric lens. We also uses the Voronoi diagram in HSL to mitigate the problem of unlocalizable sensor nodes. Finally, we conduct extensive simulations to evaluate the performance of HSL. Simulation results show that HSL has better locatable ratio and location accuracy compared to representative state-of-the-art area-based algorithms.