The Experts below are selected from a list of 419397 Experts worldwide ranked by ideXlab platform

Marwan Krunz - One of the best experts on this subject based on the ideXlab platform.

  • Privacy-Preserving and Truthful Detection of Packet Dropping Attacks in Wireless Ad Hoc Networks
    IEEE Transactions on Mobile Computing, 2015
    Co-Authors: Marwan Krunz
    Abstract:

    Link error and malicious packet dropping are two sources for packet losses in multi-hop wireless ad hoc network. In this paper, while observing a sequence of packet losses in the network, we are interested in determining whether the losses are caused by link errors only, or by the combined effect of link errors and malicious drop. We are especially interested in the insider-attack case, whereby malicious nodes that are part of the route exploit their knowledge of the Communication Context to selectively drop a small amount of packets critical to the network performance. Because the packet dropping rate in this case is comparable to the channel error rate, conventional algorithms that are based on detecting the packet loss rate cannot achieve satisfactory detection accuracy. To improve the detection accuracy, we propose to exploit the correlations between lost packets. Furthermore, to ensure truthful calculation of these correlations, we develop a homomorphic linear authenticator (HLA) based public auditing architecture that allows the detector to verify the truthfulness of the packet loss information reported by nodes. This construction is privacy preserving, collusion proof, and incurs low Communication and storage overheads. To reduce the computation overhead of the baseline scheme, a packet-block-based mechanism is also proposed, which allows one to trade detection accuracy for lower computation complexity. Through extensive simulations, we verify that the proposed mechanisms achieve significantly better detection accuracy than conventional methods such as a maximum-likelihood based detection.

  • detection of malicious packet dropping in wireless ad hoc networks based on privacy preserving public auditing
    Wireless Network Security, 2012
    Co-Authors: Tao Shu, Marwan Krunz
    Abstract:

    In a multi-hop wireless ad hoc network, packet losses are attributed to harsh channel conditions and intentional packet discard by malicious nodes. In this paper, while observing a sequence of packet losses, we are interested in determining whether losses are due to link errors only, or due to the combined effect of link errors and malicious drop. We are especially interested in insider's attacks, whereby a malicious node that is part of the route exploits its knowledge of the Communication Context to selectively drop a small number of packets that are critical to network performance. Because the packet dropping rate in this case is comparable to the channel error rate, conventional algorithms that are based on detecting the packet loss rate cannot achieve satisfactory detection accuracy. To improve the detection accuracy, we propose to exploit the correlations between lost packets. Furthermore, to ensure truthful calculation of these correlations, we develop a homomorphic linear authenticator (HLA) based public auditing architecture that allows the detector to verify the truthfulness of the packet loss information reported by nodes. This architecture is privacy preserving, collusion proof, and incurs low Communication and storage overheads. Through extensive simulations, we verify that the proposed mechanism achieves significantly better detection accuracy than conventional methods such as a maximum-likelihood based detection.

Matthias R Mehl - One of the best experts on this subject based on the ideXlab platform.

  • depression negative emotionality and self referential language a multi lab multi measure and multi language task research synthesis
    Journal of Personality and Social Psychology, 2019
    Co-Authors: Allison Mary Tackman, Brent M Donnellan, David A Sbarra, Angela L Carey, Andrea B Horn, Nicholas S Holtzman, Tomeisha S Edwards, James W Pennebaker, Matthias R Mehl
    Abstract:

    Depressive symptomatology is manifested in greater first-person singular pronoun use (i.e., I-talk), but when and for whom this effect is most apparent, and the extent to which it is specific to depression or part of a broader association between negative emotionality and I-talk, remains unclear. Using pooled data from N = 4,754 participants from 6 labs across 2 countries, we examined, in a preregistered analysis, how the depression-I-talk effect varied by (a) first-person singular pronoun type (i.e., subjective, objective, and possessive), (b) the Communication Context in which language was generated (i.e., personal, momentary thought, identity-related, and impersonal), and (c) gender. Overall, there was a small but reliable positive correlation between depression and I-talk (r = .10, 95% CI [.07, .13]). The effect was present for all first-person singular pronouns except the possessive type, in all Communication Contexts except the impersonal one, and for both females and males with little evidence of gender differences. Importantly, a similar pattern of results emerged for negative emotionality. Further, the depression-I-talk effect was substantially reduced when controlled for negative emotionality but this was not the case when the negative emotionality-I-talk effect was controlled for depression. These results suggest that the robust empirical link between depression and I-talk largely reflects a broader association between negative emotionality and I-talk. Self-referential language using first-person singular pronouns may therefore be better construed as a linguistic marker of general distress proneness or negative emotionality rather than as a specific marker of depression. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Liyanage Madhusanka - One of the best experts on this subject based on the ideXlab platform.

  • Blockchain-based Automated Certificate Revocation for 5G IoT
    'Institute of Electrical and Electronics Engineers (IEEE)', 2021
    Co-Authors: Hewa Tharaka, Ylianttila Mika, An Braecken, Liyanage Madhusanka
    Abstract:

    The 2020 IEEE International Conference on Communications (ICC), Dublin, Ireland, 7-11 June 2020Internet of Things (IoT) is a key topic of interest in modern Communication Context with the evolution of 5G and beyond ecosystems. 5G will interconnects billions of IoT devices wirelessly. The wireless Communication exposes the devices to massive security risks in different dimensions. The Public Key Infrastructure (PKI) is one of the promising solutions to eliminate security risks. It ensures the authentication and Communication integrity by using public key certificates. However, the overhead of certificate storage is a significant problem for the resource constrained IoT devices. We propose an application of Elliptic Curve Qu Vanstone (ECQV) certificates, which are lightweight in size for the resource restricted IoT devices. Furthermore, we incorporate the blockchain based smart contracts to handle the certificate related operations. We utilize the smart contracts in the certificate issuance and developed a smart contract based threat scoring mechanism to automatically revoke the certificates. The lightweight nature of ECQV certificates enables the distributed ledger to store, update, and revoke the certificates. We evaluated the proposed solution in Hyperledger Fabric blockchain platform.European Commission Horizon 2020University College DublinAcademy of Finlan

  • The role of blockchain in 6G : challenges, opportunities and research directions
    'Institute of Electrical and Electronics Engineers (IEEE)', 2020
    Co-Authors: Hewa Tharaka, Gür Gürkan, Kalla Anshuman, Ylianttila Mika, An Bracken, Liyanage Madhusanka
    Abstract:

    ​© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.The world transforms towards the intelligent information era by 2030. The key domains linked with human life such as healthcare, transport, entertainment, and smart cities expected to elevate the quality of service with high-end user experience. The teleCommunication infrastructure has to accept the unprecedented compatibility standards to the connectivity of future systems such as extensive data rate and volume for the prominent future domains such as Augented Reality(AR), Virtual Reality (VR), Mixed Reality(MR), Machine to Machine (M2M) Communication, Massive Input-Massive Output (MIMO), and massive Machine Type Communication (mMTC). There are significant challenges identifiable in the Communication Context in matching the future demand booms. The blockchain and distributed ledger technology is one of the most disruptive technology enabler to address most of the limitations and advance the functional standards of 6G. We explored the role of blockchain to address significant challenges in 6G, future application opportunities and research directions

Allison Mary Tackman - One of the best experts on this subject based on the ideXlab platform.

  • depression negative emotionality and self referential language a multi lab multi measure and multi language task research synthesis
    Journal of Personality and Social Psychology, 2019
    Co-Authors: Allison Mary Tackman, Brent M Donnellan, David A Sbarra, Angela L Carey, Andrea B Horn, Nicholas S Holtzman, Tomeisha S Edwards, James W Pennebaker, Matthias R Mehl
    Abstract:

    Depressive symptomatology is manifested in greater first-person singular pronoun use (i.e., I-talk), but when and for whom this effect is most apparent, and the extent to which it is specific to depression or part of a broader association between negative emotionality and I-talk, remains unclear. Using pooled data from N = 4,754 participants from 6 labs across 2 countries, we examined, in a preregistered analysis, how the depression-I-talk effect varied by (a) first-person singular pronoun type (i.e., subjective, objective, and possessive), (b) the Communication Context in which language was generated (i.e., personal, momentary thought, identity-related, and impersonal), and (c) gender. Overall, there was a small but reliable positive correlation between depression and I-talk (r = .10, 95% CI [.07, .13]). The effect was present for all first-person singular pronouns except the possessive type, in all Communication Contexts except the impersonal one, and for both females and males with little evidence of gender differences. Importantly, a similar pattern of results emerged for negative emotionality. Further, the depression-I-talk effect was substantially reduced when controlled for negative emotionality but this was not the case when the negative emotionality-I-talk effect was controlled for depression. These results suggest that the robust empirical link between depression and I-talk largely reflects a broader association between negative emotionality and I-talk. Self-referential language using first-person singular pronouns may therefore be better construed as a linguistic marker of general distress proneness or negative emotionality rather than as a specific marker of depression. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Liyanage M. - One of the best experts on this subject based on the ideXlab platform.

  • Blockchain-based automated certificate revocation for 5G IoT
    'Institute of Electrical and Electronics Engineers (IEEE)', 2020
    Co-Authors: Hewa T., Braeken A., Ylianttila M., Liyanage M.
    Abstract:

    Abstract Internet of Things (IoT) is a key topic of interest in modern Communication Context with the evolution of 5G and beyond ecosystems. 5G will interconnects billions of IoT devices wirelessly. The wireless Communication exposes the devices to massive security risks in different dimensions. The Public Key Infrastructure (PKI) is one of the promising solutions to eliminate security risks. It ensures the authentication and Communication integrity by using public key certificates. However, the overhead of certificate storage is a significant problem for the resource constrained IoT devices. We propose an application of Elliptic Curve Qu Vanstone (ECQV) certificates, which are lightweight in size for the resource restricted IoT devices. Furthermore, we incorporate the blockchain based smart contracts to handle the certificate related operations. We utilize the smart contracts in the certificate issuance and developed a smart contract based threat scoring mechanism to automatically revoke the certificates. The lightweight nature of ECQV certificates enables the distributed ledger to store, update, and revoke the certificates. We evaluated the proposed solution in Hyperledger Fabric blockchain platform