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Social Engineering Attack Classifications on Social Media Using Deep Learning

Computers, Materials & Continua 2023年第3期74卷 4917-4931页

作者： Yichiet Aun Ming-Lee Gan nur haliza binti abdul wahab Goh Hock Guan Faculty of Information and Communication Technology Universiti Tunku Abdul RahmanPerakMalaysia Faculty of Engineering Universiti Teknologi MalaysiaJohorMalaysia

In defense-in-depth,humans have always been the weakest link in ***,unlike common threats,social engineering poses vulnerabilities not directly quantifiable in penetration *** skilled social engineers trick users into giving up information voluntarily through attacks like phishing and *** Engineering(SE)in social media is structurally similar to regular posts but contains malicious intrinsic meaning within the sentence *** this paper,a novel SE model is trained using a Recurrent Neural Network Long Short Term Memory(RNN-LSTM)to identify well-disguised SE threats in social media *** use a custom dataset crawled from hundreds of corporate and personal Facebook ***,the social engineering attack detection pipeline(SEAD)is designed to filter out social posts with malicious intents using domain ***,each social media post is tokenized into sentences and then analyzed with a sentiment analyzer before being labelled as an anomaly or normal training ***,we train an RNN-LSTM model to detect five types of social engineering attacks that potentially contain signs of information *** experimental result showed that the Social Engineering Attack(SEA)model achieves 0.84 in classification precision and 0.81 in recall compared to the ground truth labeled by network *** experimental results showed that the semantics and linguistics similarities are an effective indicator for early detection of SEA.

关键词： Social engineering attack cybersecurity machine learning(ML) artificial neural network(ANN) random forest classifier decision tree(DT)classifier

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Design, mechanism, delivery and therapeutics of canonical and Dicer-substrate siRNA

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Asian Journal of Pharmaceutical Sciences 2019年第5期14卷 497-510页

作者： Maria abdul Ghafoor Raja haliza Katas Muhammad wahab Amjad Department of Pharmaceutics Faculty of PharmacyNorthern Border UniversityRafha73211Saudi Arabia Centre for Drug Delivery Research Faculty of PharmacyUniversiti Kebangsaan MalaysiaKuala Lumpur50300Malaysia

Upon the discovery of RNA interference(RNAi),canonical small interfering RNA(si RNA) has been recognized to trigger sequence-specific gene silencing. Despite the benefits of si RNAs as potential new drugs,there are obstacles still to be overcome,including off-target effects and immune stimulation. More recently,Dicer substrate si RNA(Dsi RNA) has been introduced as an alternative to si RNA. Similarly,it also is proving to be potent and target-specific,while rendering less immune stimulation. Dsi RNA is 25–30 nucleotides in length,and is further cleaved and processed by the Dicer enzyme. As with si RNA,it is crucial to design and develop a stable,safe,and efficient system for the delivery of Dsi RNA into the cytoplasm of targeted cells. Several polymeric nanoparticle systems have been well established to load Dsi RNA for in vitro and in vivo delivery,thereby overcoming a major hurdle in the therapeutic uses of Dsi RNA. The present review focuses on a comparison of si RNA and Dsi RNA on the basis of their design,mechanism,in vitro and in vivo delivery,and therapeutics.

关键词： RNA interference Drug delivery system Polymeric nanoparticles Gene silencing Gene carrier Non-viral vector

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The Effects of Stacking Sequence on Dynamic Mechanical Properties and Thermal Degradation of Kenaf/Jute Hybrid Composites

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Journal of Renewable Materials 2021年第1期9卷 73-84页

作者： Tabrej Khan Mohamed Thariq Hameed Sultan Mohammad Jawaid Syafiqah nur Azrie Safri Ain Umaira Md Shah Mohd Shukry abdul Majid Nik Noriman Zulkepli haliza Jaya Department of Aerospace Engineering Faculty of EngineeringUniversiti Putra MalaysiaSerdang43400Malaysia Laboratory of Biocomposite Technology Institute of Tropical Forestry and Forest ProductsUniversiti Putra MalaysiaSerdang43400Malaysia Aerospace Malaysia Innovation Centre Prime Minister’s DepartmentMIGHT Partnership HubCyberjaya63000Malaysia School of Mechatronic Engineering Universiti Malaysia PerlisPauh Putra CampusArau02600Malaysia School of Manufacturing Engineering Universiti Malaysia PerlisPauh Putra CampusArau02600Malaysia Center of Excellence Geopolymer and Green Technology Faculty of Engineering TechnologyUniversiti Malaysia PerlisArau02600Malaysia

This research focused on the dynamic mechanical and thermal properties of woven mat jute/kenaf/jute(J/K/J)and kenaf/jute/kenaf(K/J/K)hybrid *** mechanical analysis(DMA)and Thermo-gravimetric Analysis(TGA)were used to study the effect of layering sequence on the thermal properties of kenaf/jute hybrid *** DMA results;it was found that the differences in the stacking sequence between the kenaf/jute composites do not affect their storage modulus,loss modulus and damping *** the TGA and DMA results,it has been shown that stacking sequence has given positive effect to the kenaf/jute hybrid composite compared to pure epoxy *** is because kenaf and jute fibre has increased the Tg values of the composites,thus affect the thermal *** showed that the storage modulus for kenaf/jute hybrid composites increased compared with pure epoxy composites with increasing temperature and the values of remained almost the same at glass transition temperature(Tg),the hybrid composite perhaps due to the improved fibre/matrix interface *** preliminary analysis could provide a new direction for the creation of a novel hybrid composite which offers unique properties which cannot be accomplished in a single material system.

关键词： Hybrid composites dynamic mechanical thermal analysis(DMTA) thermo-gravimetric analysis

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