The Experts below are selected from a list of 2334 Experts worldwide ranked by ideXlab platform

Khalifa, Othman Omran - One of the best experts on this subject based on the ideXlab platform.

  • MotionSure: a cloud-based algorithm for detection of injected object in data in motion
    'Institute of Electrical and Electronics Engineers (IEEE)', 2017
    Co-Authors: Islam Thouhedul, Olanrewaju, Rashidah Funke, Khalifa, Othman Omran
    Abstract:

    One of the problems in cloud computing data Security is injected object during data movement from one state to another. Mostly, the Man In The Middle (MITM) attack happens in this stage by hijacking active session variables, manipulating files and objects. Although there are few algorithms for data protection in the Cloud, However, such algorithms are still prone to attack, especially in real-time data movement due to the mechanism employed. This paper proposes a secure autodetection of an injected object based on hash function labelling; a one-time Security Header for transferable files that protects an unauthorized injection. The labelling Header allows two-way data binding; DOM based communication between local and cloud computing that triggers automated acknowledgement immediately after file modification. Two encryption functions in PHP has been used for detecting injected object; bcrypt methods in Laravel and MD5 that generate 32 random keys. Total 1600 different type of files were used for evaluation of the proposed algorithm, results show that 87% of injected objects were correctly detecte

Deborah Estrin - One of the best experts on this subject based on the ideXlab platform.

  • a first look at traffic on smartphones
    Internet Measurement Conference, 2010
    Co-Authors: Hossein Falaki, Dimitrios Lymberopoulos, Ratul Mahajan, Srikanth Kandula, Deborah Estrin
    Abstract:

    Using data from 43 users across two platforms, we present a detailed look at smartphone traffic. We find that browsing contributes over half of the traffic, while each of email, media, and maps contribute roughly 10%. We also find that the overhead of lower layer protocols is high because of small transfer sizes. For half of the transfers that use transport-level Security, Header bytes correspond to 40% of the total. We show that while packet loss is the main factor that limits the throughput of smartphone traffic, larger send buffers at Internet servers can improve the throughput of a quarter of the transfers. Finally, by studying the interaction between smartphone traffic and the radio power management policy, we find that the power consumption of the radio can be reduced by 35% with minimal impact on the performance of packet exchanges.

Fawwaz Eniola Fajingbesi - One of the best experts on this subject based on the ideXlab platform.

  • data in transit validation for cloud computing using cloud based algorithm detection of injected objects
    Indonesian Journal of Electrical Engineering and Computer Science, 2018
    Co-Authors: Rashidah Funke Olanrewaju, Thouhedul Islam, Othman Omran Khalifa, Fawwaz Eniola Fajingbesi
    Abstract:

    The recent paradigm shift in the IT sector leading to cloud computing however innovative had brought along numerous data Security concerns. One major such Security laps is that referred to as the Man in the Middle (MITM) attack where external data are injected to either hijack a data in transit or to manipulate the files and object by posing as a floating cloud base. Fresh algorithms’ for cloud data protection do exist however, they are still prone to attack especially in real-time data transmissions due to employed mechanism. Hence, a validation protocol algorithm based on hash function labelling provides a one-time Security Header for transferable files that protects data in transit against any unauthorized injection. The labelling Header technique allows for a two-way data binding; DOM based communication between local and cloud computing that triggers automated acknowledgment immediately after file modification. A two layer encryption functions in PHP was designed for detecting injected object; bcrypt methods in Laravel and MD5 that generate 32 random keys. A sum total of 1600 different file types were used during training then evaluation of the proposed algorithm, where 87% of the injected objects were correctly detected.

Ghafari Mohammad - One of the best experts on this subject based on the ideXlab platform.

  • Security Header Fields in HTTP Clients
    2021
    Co-Authors: Gadient Pascal, Nierstrasz Oscar, Ghafari Mohammad
    Abstract:

    HTTP Headers are commonly used to establish web communications, and some of them are relevant for Security. However, we have only little information about the usage and support of Security-relevant Headers in mobile applications. We explored the adoption of such Headers in mobile app communication by querying 9,714 distinct URLs that were used in 3,376 apps and collected each server's response information. We discovered that support for secure HTTP Header fields is absent in all major HTTP clients, and it is barely provided with any server response. Based on these results, we discuss opportunities for improvement particularly to reduce the likelihood of data leaks and arbitrary code execution. We advocate more comprehensive use of existing HTTP Headers and timely development of relevant web browser Security features in HTTP client libraries.Comment: The 21st IEEE International Conference on Software Quality, Reliability and Security (QRS 2021

Islam Thouhedul - One of the best experts on this subject based on the ideXlab platform.

  • MotionSure: a cloud-based algorithm for detection of injected object in data in motion
    'Institute of Electrical and Electronics Engineers (IEEE)', 2017
    Co-Authors: Islam Thouhedul, Olanrewaju, Rashidah Funke, Khalifa, Othman Omran
    Abstract:

    One of the problems in cloud computing data Security is injected object during data movement from one state to another. Mostly, the Man In The Middle (MITM) attack happens in this stage by hijacking active session variables, manipulating files and objects. Although there are few algorithms for data protection in the Cloud, However, such algorithms are still prone to attack, especially in real-time data movement due to the mechanism employed. This paper proposes a secure autodetection of an injected object based on hash function labelling; a one-time Security Header for transferable files that protects an unauthorized injection. The labelling Header allows two-way data binding; DOM based communication between local and cloud computing that triggers automated acknowledgement immediately after file modification. Two encryption functions in PHP has been used for detecting injected object; bcrypt methods in Laravel and MD5 that generate 32 random keys. Total 1600 different type of files were used for evaluation of the proposed algorithm, results show that 87% of injected objects were correctly detecte