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SQL Injection (SQLi) continues to pose a significant threat to the security of web applications, enabling attackers to manipulate databases and access sensitive information without authorisation. Although advancements have been made in…

Cryptography and Security · Computer Science 2025-02-10 Naga Sai Dasari , Atta Badii , Armin Moin , Ahmed Ashlam

SQL injection (SQLi) remains a critical vulnerability in web applications, enabling attackers to manipulate databases through malicious inputs. Despite advancements in mitigation techniques, the evolving complexity of web applications and…

Cryptography and Security · Computer Science 2025-06-24 Sagar Neupane

The rapid proliferation of network applications has led to a significant increase in network attacks. According to the OWASP Top 10 Projects report released in 2021, injection attacks rank among the top three vulnerabilities in software…

Software Engineering · Computer Science 2025-09-16 Guan-Yan Yang , Farn Wang , You-Zong Gu , Ya-Wen Teng , Kuo-Hui Yeh , Ping-Hsueh Ho , Wei-Ling Wen

Security is unarguably the most serious concern for Web applications, to which SQL injection (SQLi) attack is one of the most devastating attacks. Automatically testing SQLi vulnerabilities is of ultimate importance, yet is unfortunately…

Software Engineering · Computer Science 2020-05-26 Muyang Liu , Ke Li , Tao Chen

SQL Injection is one of the vulnerabilities in OWASPs Top Ten List for Web Based Application Exploitation.These types of attacks takes place on Dynamic Web applications as they interact with the databases for the various operations.Current…

Cryptography and Security · Computer Science 2016-05-11 Jai Puneet Singh

In this era of internet, E-Business and e-commerce applications are using Databases as their integral part. These Databases irrespective of the technology used are vulnerable to SQL injection attacks. These Attacks are considered very…

Cryptography and Security · Computer Science 2020-09-30 Israr Ali , Syed Hasan Adil , Mansoor Ebrahim

Data mining and information extraction from data is a field that has gained relevance in recent years thanks to techniques based on artificial intelligence and use of machine and deep learning. The main aim of the present work is the…

Cryptography and Security · Computer Science 2022-09-15 M Lodeiro-Santiago , C Caballero-Gil , P Caballero-Gil

With the changing demographics of globalization, the emergence and prevalence of web application have acquired a central and pivotal role in the domains of technology and advancements. It thus becomes imperative to probe deeply into the…

Networking and Internet Architecture · Computer Science 2012-07-09 Neha Patwari , Parvati Bhurani

SQL injection (SQLi) attacks pose a significant threat to the security of web applications. Existing approaches do not support object-oriented programming that renders these approaches unable to protect the real-world web apps such as…

Cryptography and Security · Computer Science 2020-07-14 Rasoul Jahanshahi , Adam Doupé , Manuel Egele

Its constant technological evolution characterizes the contemporary world, and every day the processes, once manual, become computerized. Data are stored in the cyberspace, and as a consequence, one must increase the concern with the…

Large Language Models (LLMs) are increasingly used in software development to generate functions, such as attack detectors, that implement security requirements. A key challenge is ensuring the LLMs have enough knowledge to address specific…

Software Engineering · Computer Science 2025-09-18 Samuele Pasini , Jinhan Kim , Tommaso Aiello , Rocio Cabrera Lozoya , Antonino Sabetta , Paolo Tonella

Model Context Protocol (MCP) is a rapidly adopted standard for defining and invoking external tools in LLM applications. The multi-layered architecture of MCP introduces new attack surfaces such as tool poisoning, in addition to traditional…

Cryptography and Security · Computer Science 2026-04-21 İpek Abasıkeleş Turgut , Edip Gümüş

Network intrusion detection systems (NIDSs) play an important role in computer network security. There are several detection mechanisms where anomaly-based automated detection outperforms others significantly. Amid the sophistication and…

With the increasing number of new attacks on ever growing network traffic, it is becoming challenging to alert immediately any malicious activities to avoid loss of sensitive data and money. This is making intrusion detection as one of the…

Cryptography and Security · Computer Science 2020-03-20 Baha Rababah , Srija Srivastava

The popularity of Software Defined Networks (SDNs) has grown in recent years, mainly because of their ability to simplify network management and improve network flexibility. However, this also makes them vulnerable to various types of cyber…

Machine Learning · Computer Science 2024-09-02 Osama Mustafa , Khizer Ali , Talha Naqash

The evolution of the traditional power grid into the "smart grid" has resulted in a fundamental shift in energy management, which allows the integration of renewable energy sources with modern communication technology. However, this…

Artificial Intelligence · Computer Science 2025-09-10 Abdulhakim Alsaiari , Mohammad Ilyas

Software-Defined Networking (SDN) is the next generation to change the architecture of traditional networks. SDN is one of the promising solutions to change the architecture of internet networks. Attacks become more common due to the…

Cryptography and Security · Computer Science 2022-08-15 Mhmood Radhi Hadi , Adnan Saher Mohammed

Software-Defined Networking (SDN) is a novel networking paradigm that provides enhanced programming abilities, which can be used to solve traditional security challenges on the basis of more efficient approaches. The most important element…

Cryptography and Security · Computer Science 2018-06-12 Majd Latah , Levent Toker

As LLMs continue to increase in parameter size, the computational resources required to run them are available to fewer parties. Therefore, third-party inference services -- where LLMs are hosted by third parties with significant…

Machine Learning · Computer Science 2025-07-08 Rahul Thomas , Louai Zahran , Erica Choi , Akilesh Potti , Micah Goldblum , Arka Pal

The advent of Large Language Models LLMs marks a milestone in Artificial Intelligence, altering how machines comprehend and generate human language. However, LLMs are vulnerable to malicious prompt injection attacks, where crafted inputs…

Computation and Language · Computer Science 2024-10-29 Sahasra Kokkula , Somanathan R , Nandavardhan R , Aashishkumar , G Divya
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