Search Results - (( copy detection ((_ algorithm) OR (new algorithm)) ) OR ( botnet detection based algorithm ))

Back Propagation Algorithm-Based Intelligent Model for Botnet Detection by Nik Quosthoni, Sunaidi, Ahmed, Abdulghani Ali

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A new mobile botnet classification based on permission and API calls by Yusof M., Madihah Mohd Saudi, Farida Hazwani Mohd Ridzuan

Systematic analysis on mobile botnet detection techniques using genetic algorithm by Rahman M.Z.A., Madihah Mohd Saudi

Systematic Analysis on Mobile Botnet Detection Techniques Using Genetic Algorithm by Rahman, MZA, Madihah Mohd Saudi

“…A case study was carried out to reverse engineering the mobile botnet codes. Based on the findings, this mobile botnet has successfully posed itself as a fake anti-virus and has the capability to steal important data such as username and password from the Android-based devices. …”

ABC: android botnet classification using feature selection and classification algorithms by Abdullah, Zubaile, Mohd Saudi, Madihah, Anuar, Nor Badrul

“…Due to the fast modifications in the technologies used by malicious application (app) developers, there is an urgent need for more advanced techniques for Android botnet detection. In this paper, a new approach for Android botnet classification based on features selection and classification algorithms is proposed. …”
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A comprehensive review of mobile botnet detection using genetic algorithm: A systematic review by Abd Rahman M.Z.B., Saudi M.B.M., Basir N.B.

A New Mobile Botnet Classification based on Permission and API Calls by Yusof, M, Saudi, MM, Ridzuan, F

“…This new classification can be used as the input for mobile botnet detection for future work, especially for financial matters.…”

Layered Botnet Detection Framework Based On Signal Processing And Discrete Time Analysis by Melhim, Loai Kayed Hassan Bani

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Machine Learning For HTTP Botnet Detection Using Classifier Algorithms by Mohd Dollah, Rudy Fadhlee, Abd Majid, Mohd Faizal, Arif, Fahmi, Mas'ud, Mohd Zaki, Lee, Kher Xin

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An enhanced android botnet detection approach using feature refinement by Anwar, Shahid

“…In order to detect botnet attacks which causes immense chaos and problems to smartphones, first the Android botnet need to be analysed. …”
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ABC: Android botnet classification using feature selection and classification algorithms by Abdullah Z., Anuar N.B., Madihah Mohd Saudi

A behavior based algorithm to detect spam bots by Zamil, Mohammed Fadhil

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IoT-based botnet attacks systematic mapping study of literature by Habiba Hamid, Rafidah Md Noor, Syaril Nizam Omar, Ismail Ahmedy, Shaik Shabana Anjum, Syed Adeel Ali Shah, Sheena Kaur, Fazidah Othman, Emran Mohd Tamil

Intersection Features For Android Botnet Classification by Ismail, Najiahtul Syafiqah, Yusof, Robiah, Saad, Halizah, Abdollah, Mohd Faizal, Yusof, Robiah

“…This paper proposed an enhancement approach for Android botnet classification based on features selection and classification algorithms. …”
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Two-Dimensional Forward-Backward Time-Stepping Approach for Tumor Detection in Dispersive Breast Tissues by Kismet, Hong Ping, Moriyama, Toshifumi, Takenaka, Takashi, Tanaka, Toshiyuki

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Designing a New Model for Trojan Horse Detection Using Sequential Minimal Optimization by Saudi, MM, Abuzaid, AM, Taib, BM, Abdullah, ZH

“…Based on the experiment conducted, the Sequential Minimal Optimization (SMO) algorithm has outperformed other machine learning algorithms with 98.2 % of true positive rate and with 1.7 % of false positive rate.…”

Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani by Seyed Asadollah, Abdiesfandani

“…The system is also able to detect copy- verbatim strategy, the most commonly strategy used by students. …”
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Region duplication forgery detection technique based on keypoint matching / Diaa Mohammed Hassan Uliyan by Diaa , Mohammed Hassan Uliyan

“…Furthermore, the proposed methods are resistant to forgery where small up to 8*8 pixels and flat regions are involved, with little visual structures. The average detection rate of our algorithm maintained 96 % true positive rate and 7 % false positive rate which outperform several current detection methods. …”
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A keypoint based copy-move forgery detection and localization in digital images / Somayeh Sadeghi by Somayeh, Sadeghi

“…The true and false positive rates achieved by the proposed algorithm outperform several current detection algorithms.…”
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Designing a new model for Trojan horse detection using sequential minimal optimization by Madihah Mohd Saudi, Abuzaid A.M., Taib B.M., Abdullah Z.H.