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  1. Book ; Online ; Conference proceedings ; E-Book: Wireless mobile communication and healthcare

    Jamalipour, Abbas / Guo, Lei / Gao, Xinbo

    10th EAI international conference, MobiHealth 2021, virtual event, November 13-14, 2021, proceedings

    (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; v.440)

    2022  

    Author's details edited by Xinbo Gao, Abbas Jamalipour, and Lei Guo
    Series title Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; v.440
    Keywords Mobile communication systems
    Subject code 621.384
    Language English
    Size 1 online resource (365 pages)
    Publisher Springer
    Publishing place Cham, Switzerland
    Document type Book ; Online ; Conference proceedings ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 3-031-06368-6 ; 9783031063671 ; 978-3-031-06368-8 ; 3031063678
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Leverage Variational Graph Representation for Model Poisoning on Federated Learning.

    Li, Kai / Yuan, Xin / Zheng, Jingjing / Ni, Wei / Dressler, Falko / Jamalipour, Abbas

    IEEE transactions on neural networks and learning systems

    2024  Volume PP

    Abstract: This article puts forth a new training data-untethered model poisoning (MP) attack on federated learning (FL). The new MP attack extends an adversarial variational graph autoencoder (VGAE) to create malicious local models based solely on the benign local ...

    Abstract This article puts forth a new training data-untethered model poisoning (MP) attack on federated learning (FL). The new MP attack extends an adversarial variational graph autoencoder (VGAE) to create malicious local models based solely on the benign local models overheard without any access to the training data of FL. Such an advancement leads to the VGAE-MP attack that is not only efficacious but also remains elusive to detection. VGAE-MP attack extracts graph structural correlations among the benign local models and the training data features, adversarially regenerates the graph structure, and generates malicious local models using the adversarial graph structure and benign models' features. Moreover, a new attacking algorithm is presented to train the malicious local models using VGAE and sub-gradient descent, while enabling an optimal selection of the benign local models for training the VGAE. Experiments demonstrate a gradual drop in FL accuracy under the proposed VGAE-MP attack and the ineffectiveness of existing defense mechanisms in detecting the attack, posing a severe threat to FL.
    Language English
    Publishing date 2024-05-03
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2024.3394252
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Conference proceedings ; Online: IEEE International Conference on Communications (ICC), 2014

    Jamalipour, Abbas

    10 - 14 June 2014, Sydney, Australia

    2014  

    Title variant Communications: centrepoint of the digital economy
    Institution Institute of Electrical and Electronics Engineers
    Event/congress IEEE ICC (2014.06.10-14, Sydney) ; IEEE International Conference on Communications (2014.06.10-14, Sydney)
    Author's details ed. by Abbas Jamalipour
    Language English
    Size Online-Ressource
    Publisher IEEE
    Publishing place Piscataway, NJ
    Document type Book ; Conference proceedings ; Online
    Note Kongr.-Thema: Communications: centrepoint of the digital economy
    ISBN 9781479920037 ; 9781479920051 ; 1479920037 ; 1479920053
    Database Former special subject collection: coastal and deep sea fishing

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  4. Book ; Online: Digital Twin-Aided Learning for Managing Reconfigurable Intelligent Surface-Assisted, Uplink, User-Centric Cell-Free Systems

    Cui, Yingping / Lv, Tiejun / Ni, Wei / Jamalipour, Abbas

    2023  

    Abstract: This paper puts forth a new, reconfigurable intelligent surface (RIS)-assisted, uplink, user-centric cell-free (UCCF) system managed with the assistance of a digital twin (DT). Specifically, we propose a novel learning framework that maximizes the sum- ... ...

    Abstract This paper puts forth a new, reconfigurable intelligent surface (RIS)-assisted, uplink, user-centric cell-free (UCCF) system managed with the assistance of a digital twin (DT). Specifically, we propose a novel learning framework that maximizes the sum-rate by jointly optimizing the access point and user association (AUA), power control, and RIS beamforming. This problem is challenging and has never been addressed due to its prohibitively large and complex solution space. Our framework decouples the AUA from the power control and RIS beamforming (PCRB) based on the different natures of their variables, hence reducing the solution space. A new position-adaptive binary particle swarm optimization (PABPSO) method is designed for the AUA. Two twin-delayed deep deterministic policy gradient (TD3) models with new and refined state pre-processing layers are developed for the PCRB. Another important aspect is that a DT is leveraged to train the learning framework with its replay of channel estimates stored. The AUA, power control, and RIS beamforming are only tested in the physical environment at the end of selected epochs. Simulations show that using RISs contributes to considerable increases in the sum-rate of UCCF systems, and the DT dramatically reduces overhead with marginal performance loss. The proposed framework is superior to its alternatives in terms of sum-rate and convergence stability.

    Comment: 30 pages, 11 figures
    Keywords Electrical Engineering and Systems Science - Signal Processing ; Computer Science - Artificial Intelligence
    Subject code 003
    Publishing date 2023-02-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Book ; Conference proceedings: Special issue on cooperative and distributed wireless communications

    Jamalipour Abbas

    [... 23rd Annual Symposium on Personal Indoor and Mobile Radio Communications (PIMRC 2012) ... IEEE PIMRC... four papers]

    (International journal of wireless information networks ; 20.2013,3)

    2013  

    Institution Institute of Electrical and Electronics Engineers
    PIMRC
    Event/congress Annual Symposium on Personal Indoor and Mobile Radio Communications (23, 2012.09.09-12, Sydney) ; IEEE PIMRC (23, 2012.09.09-12, Sydney) ; PIMRC (23, 2012.09.09-12, Sydney)
    Author's details guest ed.: Abbas Jamalipour
    Series title International journal of wireless information networks ; 20.2013,3
    Language English
    Size S. 167 - 214
    Publisher Springer
    Publishing place New York, NY
    Document type Book ; Conference proceedings
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  6. Book ; Online: Backscatter-Assisted Wireless Powered Communication Networks Empowered by Intelligent Reflecting Surface

    Ramezani, Parisa / Jamalipour, Abbas

    2021  

    Abstract: Intelligent reflecting surface (IRS) has recently been emerged as an effective way for improving the performance of wireless networks by reconfiguring the propagation environment through a large number of passive reflecting elements. This game-changing ... ...

    Abstract Intelligent reflecting surface (IRS) has recently been emerged as an effective way for improving the performance of wireless networks by reconfiguring the propagation environment through a large number of passive reflecting elements. This game-changing technology is especially important for stepping into the Internet of Everything (IoE) era, where high performance is demanded with very limited available resources. In this paper, we study a backscatter-assisted wireless powered communication network (BS-WPCN), in which a number of energy-constrained users, powered by a power station (PS), transmit information to an access point (AP) via backscatter and active wireless information transfer, with their communication being aided by an IRS. Using a practical energy harvesting (EH) model which is able to capture the characteristics of realistic energy harvesters, we investigate the maximization of total network throughput. Specifically, IRS reflection coefficients, PS transmit and AP receive beamforming vectors, power and time allocation are designed through a two-stage algorithm, assuming minimum mean square error (MMSE) receiver at the AP. The effectiveness of the proposed algorithm is confirmed via extensive numerical simulations. We also show that our proposed scheme is readily applicable to practical IRS-aided networks with discrete phase shift values.

    Comment: This work has been accepted for publication in IEEE TVT
    Keywords Computer Science - Information Theory
    Subject code 003
    Publishing date 2021-04-26
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Book ; Online: RIS-Assisted Jamming Rejection and Path Planning for UAV-Borne IoT Platform

    Hu, Shuyan / Yuan, Xin / Ni, Wei / Wang, Xin / Jamalipour, Abbas

    A New Deep Reinforcement Learning Framework

    2023  

    Abstract: This paper presents a new deep reinforcement learning (DRL)-based approach to the trajectory planning and jamming rejection of an unmanned aerial vehicle (UAV) for the Internet-of-Things (IoT) applications. Jamming can prevent timely delivery of sensing ... ...

    Abstract This paper presents a new deep reinforcement learning (DRL)-based approach to the trajectory planning and jamming rejection of an unmanned aerial vehicle (UAV) for the Internet-of-Things (IoT) applications. Jamming can prevent timely delivery of sensing data and reception of operation instructions. With the assistance of a reconfigurable intelligent surface (RIS), we propose to augment the radio environment, suppress jamming signals, and enhance the desired signals. The UAV is designed to learn its trajectory and the RIS configuration based solely on changes in its received data rate, using the latest deep deterministic policy gradient (DDPG) and twin delayed DDPG (TD3) models. Simulations show that the proposed DRL algorithms give the UAV with strong resistance against jamming and that the TD3 algorithm exhibits faster and smoother convergence than the DDPG algorithm, and suits better for larger RISs. This DRL-based approach eliminates the need for knowledge of the channels involving the RIS and jammer, thereby offering significant practical value.

    Comment: submitted to IEEE IoTJ in Feb. 2023
    Keywords Electrical Engineering and Systems Science - Signal Processing
    Subject code 629
    Publishing date 2023-02-09
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Book ; Online: Toward RIS-Enhanced Integrated Terrestrial/Non-Terrestrial Connectivity in 6G

    Ramezani, Parisa / Lyu, Bin / Jamalipour, Abbas

    2022  

    Abstract: The next generation of wireless systems will take the concept of communications and networking to another level through the seamless integration of terrestrial, aerial, satellite, maritime and underwater communication systems. Reconfigurable intelligent ... ...

    Abstract The next generation of wireless systems will take the concept of communications and networking to another level through the seamless integration of terrestrial, aerial, satellite, maritime and underwater communication systems. Reconfigurable intelligent surface (RIS) is an innovative technology which, with its singular features and functionalities, can expedite the realization of this everywhere connectivity. Motivated by the unparalleled properties of this innovatory technology, this article provides a comprehensive discussion on how RIS can contribute to the actualization and proper functioning of future integrated terrestrial/non-terrestrial (INTENT) networks. As a case study, we explore the integration of RIS into non-orthogonal multiple access (NOMA)-based satellite communication networks and demonstrate the performance enhancement achieved by the inclusion of RIS via numerical simulations. Promising directions for future research in this area are set forth at the end of this article.

    Comment: This work has been accepted for publication in IEEE Network
    Keywords Computer Science - Networking and Internet Architecture
    Subject code 303
    Publishing date 2022-02-07
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: An Optimization Model for Appraising Intrusion-Detection Systems for Network Security Communications: Applications, Challenges, and Solutions.

    Abdel-Basset, Mohamed / Gamal, Abduallah / Sallam, Karam M / Elgendi, Ibrahim / Munasinghe, Kumudu / Jamalipour, Abbas

    Sensors (Basel, Switzerland)

    2022  Volume 22, Issue 11

    Abstract: Cyber-attacks are getting increasingly complex, and as a result, the functional concerns of intrusion-detection systems (IDSs) are becoming increasingly difficult to resolve. The credibility of security services, such as privacy preservation, ... ...

    Abstract Cyber-attacks are getting increasingly complex, and as a result, the functional concerns of intrusion-detection systems (IDSs) are becoming increasingly difficult to resolve. The credibility of security services, such as privacy preservation, authenticity, and accessibility, may be jeopardized if breaches are not detected. Different organizations currently utilize a variety of tactics, strategies, and technology to protect the systems' credibility in order to combat these dangers. Safeguarding approaches include establishing rules and procedures, developing user awareness, deploying firewall and verification systems, regulating system access, and forming computer-issue management groups. The effectiveness of intrusion-detection systems is not sufficiently recognized. IDS is used in businesses to examine possibly harmful tendencies occurring in technological environments. Determining an effective IDS is a complex task for organizations that require consideration of many key criteria and their sub-aspects. To deal with these multiple and interrelated criteria and their sub-aspects, a multi-criteria decision-making (MCMD) approach was applied. These criteria and their sub-aspects can also include some ambiguity and uncertainty, and thus they were treated using q-rung orthopair fuzzy sets (q-ROFS) and q-rung orthopair fuzzy numbers (q-ROFNs). Additionally, the problem of combining expert and specialist opinions was dealt with using the q-rung orthopair fuzzy weighted geometric (q-ROFWG). Initially, the entropy method was applied to assess the priorities of the key criteria and their sub-aspects. Then, the combined compromised solution (CoCoSo) method was applied to evaluate six IDSs according to their effectiveness and reliability. Afterward, comparative and sensitivity analyses were performed to confirm the stability, reliability, and performance of the proposed approach. The findings indicate that most of the IDSs appear to be systems with high potential. According to the results, Suricata is the best IDS that relies on multi-threading performance.
    MeSH term(s) Communication ; Fuzzy Logic ; Reproducibility of Results ; Uncertainty
    Language English
    Publishing date 2022-05-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s22114123
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Online: Multidimensional Resource Fragmentation-Aware Virtual Network Embedding in MEC Systems Interconnected by Metro Optical Networks

    Guan, Yingying / Song, Qingyang / Qi, Weijing / Li, Ke / Guo, Lei / Jamalipour, Abbas

    2023  

    Abstract: The increasing demand for diverse emerging applications has resulted in the interconnection of multi-access edge computing (MEC) systems via metro optical networks. To cater to these diverse applications, network slicing has become a popular tool for ... ...

    Abstract The increasing demand for diverse emerging applications has resulted in the interconnection of multi-access edge computing (MEC) systems via metro optical networks. To cater to these diverse applications, network slicing has become a popular tool for creating specialized virtual networks. However, resource fragmentation caused by uneven utilization of multidimensional resources can lead to reduced utilization of limited edge resources. To tackle this issue, this paper focuses on addressing the multidimensional resource fragmentation problem in virtual network embedding (VNE) in MEC systems with the aim of maximizing the profit of an infrastructure provider (InP). The VNE problem in MEC systems is transformed into a bilevel optimization problem, taking into account the interdependence between virtual node embedding (VNoE) and virtual link embedding (VLiE). To solve this problem, we propose a nested bilevel optimization approach named BiVNE. The VNoE is solved using the ant colony system (ACS) in the upper level, while the VLiE is solved using a combination of a shortest path algorithm and an exact-fit spectrum slot allocation method in the lower level. Evaluation results show that the BiVNE algorithm can effectively enhance the profit of the InP by increasing the acceptance ratio and avoiding resource fragmentation simultaneously.
    Keywords Computer Science - Networking and Internet Architecture
    Subject code 000
    Publishing date 2023-03-28
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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