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Network intrusion detection systems (NIDS) play a pivotal role in safeguarding critical digital infrastructures against cyber threats. Machine learning-based detection models applied in NIDS are prevalent today. However, the effectiveness…

Cryptography and Security · Computer Science 2024-04-12 Xinxing Zhao , Kar Wai Fok , Vrizlynn L. L. Thing

To reap the benefits of the Internet of Things (IoT), it is imperative to secure the system against cyber attacks in order to enable mission critical and real-time applications. To this end, intrusion detection systems (IDSs) have been…

Cryptography and Security · Computer Science 2019-06-04 Aidin Ferdowsi , Walid Saad

Network Intrusion Detection Systems (NIDS) are tools or software that are widely used to maintain the computer networks and information systems keeping them secure and preventing malicious traffics from penetrating into them, as they flag…

Cryptography and Security · Computer Science 2023-01-02 Abdelmageed Ahmed Hassan , Mohamed Sayed Hussein , Ahmed Shehata AboMoustafa , Sarah Hossam Elmowafy

As an active network security protection scheme, intrusion detection system (IDS) undertakes the important responsibility of detecting network attacks in the form of malicious network traffic. Intrusion detection technology is an important…

Cryptography and Security · Computer Science 2022-06-22 Yi Cui , Wenfeng Shen , Jian Zhang , Weijia Lu , Chuang Liu , Lin Sun , Si Chen

An Intrusion Detection System (IDS) is a key cybersecurity tool for network administrators as it identifies malicious traffic and cyberattacks. With the recent successes of machine learning techniques such as deep learning, more and more…

Cryptography and Security · Computer Science 2019-12-20 Simon Msika , Alejandro Quintero , Foutse Khomh

Today's Cyber-Physical Systems (CPSs) are large, complex, and affixed with networked sensors and actuators that are targets for cyber-attacks. Conventional detection techniques are unable to deal with the increasingly dynamic and complex…

Machine Learning · Computer Science 2019-01-16 Dan Li , Dacheng Chen , Jonathan Goh , See-kiong Ng

In the realm of IoT/CPS systems connected over mobile networks, traditional intrusion detection methods analyze network traffic across multiple devices using anomaly detection techniques to flag potential security threats. However, these…

Cryptography and Security · Computer Science 2024-10-07 Anantaa Kotal , Brandon Luton , Anupam Joshi

A Controller Area Network (CAN) bus in the vehicles is an efficient standard bus enabling communication between all Electronic Control Units (ECU). However, CAN bus is not enough to protect itself because of lack of security features. To…

Cryptography and Security · Computer Science 2019-07-18 Eunbi Seo , Hyun Min Song , Huy Kang Kim

While the benefits of 6G-enabled Internet of Things (IoT) are numerous, providing high-speed, low-latency communication that brings new opportunities for innovation and forms the foundation for continued growth in the IoT industry, it is…

Cryptography and Security · Computer Science 2023-04-13 Mohamed Amine Ferrag , Djallel Hamouda , Merouane Debbah , Leandros Maglaras , Abderrahmane Lakas

Intrusion detection is one of the important mechanisms that provide computer networks security. Due to an increase in attacks and growing dependence upon other fields such as medicine, commerce, and engineering, offering services over a…

Machine Learning · Computer Science 2022-06-14 Siamak Parhizkari , Mohammad Bagher Menhaj , Atena Sajedin

Intrusion Detection Systems (IDS) are critical components in safeguarding 5G/6G networks from both internal and external cyber threats. While traditional IDS approaches rely heavily on signature-based methods, they struggle to detect novel…

Cryptography and Security · Computer Science 2025-12-16 Neha , Tarunpreet Bhatia

This paper presents a simple yet efficient method for an anomaly-based Intrusion Detection System (IDS). In reality, IDSs can be defined as a one-class classification system, where the normal traffic is the target class. The high diversity…

Machine Learning · Computer Science 2019-04-29 Bahram Mohammadi , Mohammad Sabokrou

With the continuous development of industrial IoT (IIoT) technology, network security is becoming more and more important. And intrusion detection is an important part of its security. However, since the amount of attack traffic is very…

Cryptography and Security · Computer Science 2021-10-08 Lei Zhang , Shuaimin Jiang , Xiajiong Shen , Brij B. Gupta , Zhihong Tian

Over the last two decades, a lot of work has been done in improving network security, particularly in intrusion detection systems (IDS) and anomaly detection. Machine learning solutions have also been employed in IDSs to detect known and…

Cryptography and Security · Computer Science 2022-03-22 Sankha Das

Intrusion detection systems (IDSs) play an important role in identifying malicious attacks and threats in networking systems. As fundamental tools of IDSs, learning based classification methods have been widely employed. When it comes to…

Cryptography and Security · Computer Science 2019-01-29 He Zhang , Xingrui Yu , Peng Ren , Chunbo Luo , Geyong Min

Our increasingly connected world continues to face an ever-growing amount of network-based attacks. Intrusion detection systems (IDS) are an essential security technology for detecting these attacks. Although numerous machine learning-based…

Cryptography and Security · Computer Science 2023-01-10 Caroline Strickland , Chandrika Saha , Muhammad Zakar , Sareh Nejad , Noshin Tasnim , Daniel Lizotte , Anwar Haque

Machine learning-based cybersecurity systems are highly vulnerable to adversarial attacks, while Generative Adversarial Networks (GANs) act as both powerful attack enablers and promising defenses. This survey systematically reviews…

Cryptography and Security · Computer Science 2025-10-01 Tharcisse Ndayipfukamiye , Jianguo Ding , Doreen Sebastian Sarwatt , Adamu Gaston Philipo , Huansheng Ning

An intrusion detection system (IDS) is a vital security component of modern computer networks. With the increasing amount of sensitive services that use computer network-based infrastructures, IDSs need to be more intelligent and…

Machine Learning · Computer Science 2021-01-20 Amir Andalib , Vahid Tabataba Vakili

As an essential tool in security, the intrusion detection system bears the responsibility of the defense to network attacks performed by malicious traffic. Nowadays, with the help of machine learning algorithms, intrusion detection systems…

Cryptography and Security · Computer Science 2022-05-11 Zilong Lin , Yong Shi , Zhi Xue

Today, many organizations are moving their computing services towards the Cloud. This makes their computer processing available much more conveniently to users. However, it also brings new security threats and challenges about safety and…

Networking and Internet Architecture · Computer Science 2012-03-16 Hassen Mohammed Alsafi , Wafaa Mustafa Abduallah , Al-Sakib Khan Pathan
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