Open Access
ARTICLE
Jebran Khan1, Kashif Ahmad2, Kyung-Ah Sohn1,3,*
Computer Systems Science and Engineering, DOI:10.32604/csse.2023.040159
Abstract In recent years, the growing popularity of social media platforms has led to several interesting natural language
processing (NLP) applications. However, these social media-based NLP applications are subject to different types
of adversarial attacks due to the vulnerabilities of machine learning (ML) and NLP techniques. This work presents
a new low-level adversarial attack recipe inspired by textual variations in online social media communication.
These variations are generated to convey the message using out-of-vocabulary words based on visual and phonetic
similarities of characters and words in the shortest possible form. The intuition of the proposed scheme is to
generate adversarial examples… More >
Open Access
ARTICLE
Quan Zhou1,*, Yulong Zheng1, Minhui Chen2, Kaijun Wei2
Computer Systems Science and Engineering, DOI:10.32604/csse.2023.039908
Abstract In recent years, the issue of preserving the privacy of parties involved
in blockchain transactions has garnered significant attention. To ensure privacy protection for both sides of the transaction, many researchers are using
ring signature technology instead of the original signature technology. However, in practice, identifying the signer of an illegal blockchain transaction
once it has been placed on the chain necessitates a signature technique that
offers conditional anonymity. Some illegals can conduct illegal transactions
and evade the law using ring signatures, which offer perfect anonymity. This
paper firstly constructs a conditionally anonymous linkable ring signature
using the Diffie-Hellman key… More >
Open Access
REVIEW
Zain Anwar Ali1,2,*, Dingnan Deng1, Muhammad Kashif Shaikh3, Raza Hasan4, Muhammad Aamir Khan2
Computer Systems Science and Engineering, DOI:10.32604/csse.2023.041866
Abstract Technological advances in unmanned aerial vehicles (UAVs) pursued by artificial intelligence (AI) are improving
remote sensing applications in smart agriculture. These are valuable tools for monitoring and disease identification
of plants as they can collect data with no damage and effects on plants. However, their limited carrying and battery
capacities restrict their performance in larger areas. Therefore, using multiple UAVs, especially in the form of a
swarm is more significant for monitoring larger areas such as crop fields and forests. The diversity of research
studies necessitates a literature review for more progress and contribution in the agricultural field. In this… More >
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