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An Intrusion Detection System (IDS) is a software that monitors a single or a network of computers for malicious activities (attacks) that are aimed at stealing or censoring information or corrupting network protocols. Most techniques used…

Cryptography and Security · Computer Science 2015-05-12 Mahdi Zamani , Mahnush Movahedi

The evolution of cybersecurity is undoubtedly associated and intertwined with the development and improvement of artificial intelligence (AI). As a key tool for realizing more cybersecure ecosystems, Intrusion Detection Systems (IDSs) have…

In recent times, I've encountered a principle known as cloud computing, a model that simplifies user access to data and computing power on a demand basis. The main objective of cloud computing is to accommodate users' growing needs by…

Cryptography and Security · Computer Science 2023-05-29 Peyman Khordadpour , Saeed Ahmadi

Application of deep learning to enhance the accuracy of intrusion detection in modern computer networks were studied in this paper. The identification of attacks in computer networks is divided in to two categories of intrusion detection…

Cryptography and Security · Computer Science 2020-12-16 Jafar Majidpour , Hiwa Hasanzadeh

With the increasing reliance of smart grids on correctly functioning SCADA systems and their vulnerability to cyberattacks, there is a pressing need for effective security measures. SCADA systems are prone to cyberattacks, posing risks to…

Cryptography and Security · Computer Science 2024-02-23 Omer Sen , Tarek Hassan , Andreas Ulbig , Martin Henze

Input sanitization mechanisms are widely used to mitigate vulnerabilities to injection attacks such as cross-site scripting. Static analysis tools and techniques commonly used to ensure that applications utilize sanitization functions.…

Cryptography and Security · Computer Science 2018-04-04 Mahmoud Mohammadi , Bill Chu , Heather Richter Lipford

Deep Learning Systems (DLSs) are increasingly deployed in real-time applications, including those in resourceconstrained environments such as mobile and IoT devices. To address efficiency challenges, Dynamic Deep Learning Systems (DDLSs)…

Machine Learning · Computer Science 2025-06-13 Ravishka Rathnasuriya , Tingxi Li , Zexin Xu , Zihe Song , Mirazul Haque , Simin Chen , Wei Yang

Network attacks have became increasingly more sophisticated and stealthy due to the advances in technologies and the growing sophistication of attackers. Advanced Persistent Threats (APTs) are a type of attack that implement a wide range of…

Cryptography and Security · Computer Science 2024-04-02 Abdullah H Alqahtani

One of the most common internet attacks causing significant economic losses in recent years is the Denial of Service (DoS) flooding attack. As a countermeasure, intrusion detection systems equipped with machine learning classification…

Networking and Internet Architecture · Computer Science 2020-01-17 Mohamed Abushwereb , Muhannad Mustafa , Mouhammd Al-kasassbeh , Malik Qasaimeh

Reactive injection attacks are a class of security threats in wireless networks wherein adversaries opportunistically inject spoofing packets in the frequency band of a client thereby forcing the base-station to deploy…

Information Theory · Computer Science 2023-11-14 Aadil Hussain , Nitheesh Gundapu , Sarang Drugkar , Suraj Kiran , J. Harshan , Ranjitha Prasad

Wireless sensor network (WSN) is regularly deployed in unattended and hostile environments. The WSN is vulnerable to security threats and susceptible to physical capture. Thus, it is necessary to use effective mechanisms to protect the…

Cryptography and Security · Computer Science 2011-08-15 Hichem Sedjelmaci , Mohamed Feham

Industrial control systems are critical to the operation of industrial facilities, especially for critical infrastructures, such as refineries, power grids, and transportation systems. Similar to other information systems, a significant…

Machine Learning · Computer Science 2019-12-10 Guangxia Lia , Yulong Shena , Peilin Zhaob , Xiao Lu , Jia Liu , Yangyang Liu , Steven C. H. Hoi

Intrusion Detection Systems are widely used to detect cyberattacks, especially on protocols vulnerable to hacking attacks such as SOME/IP. In this paper, we present a deep learning-based sequential model for offline intrusion detection on…

Cryptography and Security · Computer Science 2021-10-12 Natasha Alkhatib , Hadi Ghauch , Jean-Luc Danger

Phishing sites continue to grow in volume and sophistication. Recent work leverages large language models (LLMs) to analyze URLs, HTML, and rendered content to decide whether a website is a phishing site. While these approaches are…

Cryptography and Security · Computer Science 2026-02-06 Takashi Koide , Hiroki Nakano , Daiki Chiba

Cloud computing systems fail in complex and unexpected ways due to unexpected combinations of events and interactions between hardware and software components. Fault injection is an effective means to bring out these failures in a…

Software Engineering · Computer Science 2020-10-02 Domenico Cotroneo , Luigi De Simone , Pietro Liguori , Roberto Natella

Attackers have developed ever more sophisticated and intelligent ways to hack information and communication technology systems. The extent of damage an individual hacker can carry out upon infiltrating a system is well understood. A…

Cryptography and Security · Computer Science 2018-08-20 Cosimo Ieracitano , Ahsan Adeel , Mandar Gogate , Kia Dashtipour , Francesco Carlo Morabito , Hadi Larijani , Ali Raza , Amir Hussain

Formulating efficient SQL queries requires several cycles of tuning and execution, particularly for inexperienced users. We examine methods that can accelerate and improve this interaction by providing insights about SQL queries prior to…

Databases · Computer Science 2020-02-24 Zainab Zolaktaf , Mostafa Milani , Rachel Pottinger

In order to gain access to networks, different types of intrusion attacks have been designed, and the attackers are working on improving them. Computer networks have become increasingly important in daily life due to the increasing reliance…

Cryptography and Security · Computer Science 2022-12-09 Mohammad Hossein Modirrousta , Parisa Forghani Arani , Mahdi Aliyari Shoorehdeli

Distributed denial of service (DDoS) attacks are a constant threat for services in the Internet. This year, the record for the largest DDoS attack ever observed was set at 1.7 Tbps. Meanwhile, detection and mitigation mechanisms are still…

Cryptography and Security · Computer Science 2018-08-17 Thomas Lukaseder , Shreya Ghosh , Frank Kargl

Recent years witnessed a surge in network traffic due to the emergence of new online services, causing periodic saturation and complexity problems. Additionally, the growing number of IoT devices further compounds the problem. Software…

Networking and Internet Architecture · Computer Science 2024-01-18 Jaime Tamayo , Lorena Isabel Barona López , Ángel Leonardo Valdivieso Caraguay
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