CM-CPPA: Chaotic Map-Based Conditional Privacy-Preserving Authentication Scheme in 5G-Enabled Vehicular Networks

Al-Shareeda, Mahmood A.; Manickam, Selvakumar; Mohammed, Badiea Abdulkarem; Al-Mekhlafi, Zeyad Ghaleb; Qtaish, Amjad; Alzahrani, Abdullah J.; Alshammari, Gharbi; Sallam, Amer A.; Almekhlafi, Khalil

doi:10.3390/s22135026

Cited by 28 publications

(14 citation statements)

References 43 publications

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“…Not all modern attacks have the same old goals as making money or getting sensitive information. Some of them are designed to halt services so that users can no longer use the intended service as long as the attacker can do so [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

DDoS attacks detection using machine learning and deep learning techniques: analysis and comparison

2023

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The security of the internet is seriously threatened by a distributed denial of service (DDoS) attacks. The purpose of a DDoS assault is to disrupt service and prevent legitimate users from using it by flooding the central server with a large number of messages or requests that will cause it to reach its capacity and shut down. Because it is carried out by numerous bots that are managed (infected) by a single botmaster using a fake IP address, this assault is dangerous because it does not involve a lot of work or special tools. For the purpose of identifying and analyzing DDoS attacks, this paper will discuss various machine learning (ML) and deep learning (DL) techniques. Additionally, this study analyses and comparatives the significant distinctions between ML and DL techniques to aid in determining when one of these techniques should be used.

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Section: Introductionmentioning

confidence: 99%

DDoS attacks detection using machine learning and deep learning techniques: analysis and comparison

2023

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“…SEMI SECS/GEM plays an important role in Industry 4.0. The photo-voltaic, semiconductor, solar cell manufacturing, surface mount technology (SMT), electrical construction, and device adopt SECS/GEM standards in their equipment [6][7][8]. With the introduction of SECS/GEM capability, it is quickly transforming its operations into a smart factory with M2M communication, automation, and real-time data acquisition for data monitoring, control, and analytics.…”

Section: Introductionmentioning

confidence: 99%

Replay-Attack Detection and Prevention Mechanism in Industry 4.0 Landscape for Secure SECS/GEM Communications

et al. 2022

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Starting from the First Industrial Revolution to the current and Fourth Industrial Revolution (or Industry 4.0), various industrial machines are present in the market and manufacturing companies. As standardized protocols have become increasingly popular, more utilities are switching to Internet Protocol (IP)-based systems for wide-area communication. SECS/GEM is one of the standards that permit industries to collect information directly from the machines, either using RS323 or TCP/IP communication. TCP/IP communication is becoming more critical than ever, especially given our accelerated digital transformation and increasing reliance on communication technologies. The growth of IT is accelerating with cyberthreats as well. In contrast, security features in the SECS/GEM protocol may be neglected by some companies as it is only used in factories and not mostly used in the outside world. However, communication of SECS/GEM is highly susceptible to various cyberattacks. This paper analyzes the potential replay-attack cyberattacks that can occur on a SECS/GEM system. In replay attacks, this paper supposes an adversary that wants to damage an operation-based control system in an ongoing condition. The adversary has the ability to capture messages to watch and record their contents for a predetermined amount of time, record them, and then replay them while attacking in order to inject an exogenous control input undetected. The paper’s objectives are to prove that SECS/GEM communication is vulnerable to cyberattack and design a detection mechanism to protect SECS/GEM communications from replay attacks. The methodology implements a simulation of the replay-attack mechanism on SECS/GEM communication. The results indicate that the design mechanism detected replay attacks against SECS/GEM communications and successfully prevented them.

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“…Today's global economy largely depends on the Internet [1], [2]. The global internet of things (IoT) market was USD 151 billion in the year 2018 and is expected to grow to USD 1,567 billion by 2025.…”

Section: Introductionmentioning

confidence: 99%

Proposed security mechanism for preventing fake router advertisement attack in IPv6 link-local network

Al-Shareeda

Manickam

Saare

et al. 2022

IJEECS

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The design of router discovery (RD) is a trust mechanism to confirm the legitimacy of the host and router. Fake router advertisement (RA) attacks have been made possible by this RD protocol design defect. Studies show that the standard RD protocol is vulnerable to a fake RA attack where the host will be denied a valid gateway. To cope with this problem, several prevention techniques have been proposed in the past to secure the RD process. Nevertheless, these methods have a significant temporal complexity as well as other flaws, including the bootstrapping issue and hash collision attacks. Thus, the SecMac-secure router discovery (SecMac-SRD) technique, which requires reduced processing time and may thwart fake RA assaults, is proposed in this study as an improved secure RD mechanism. SecMac-SRD is built based on a UMAC hashing algorithm with ElGamal public key distribution cryptosystem that hides the RD message exchange in the IPv6 link-local network. Based on the obtained expected results display that the SecMac-SRD mechanism achieved less processing time compared to the existing secure RD mechanism and can resist fake RA attacks. The outcome of the expected results clearly proves that the SecMac-SRD mechanism effectively copes with the fake RA attacks during the RD process.

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CM-CPPA: Chaotic Map-Based Conditional Privacy-Preserving Authentication Scheme in 5G-Enabled Vehicular Networks

Cited by 28 publications

References 43 publications

DDoS attacks detection using machine learning and deep learning techniques: analysis and comparison

DDoS attacks detection using machine learning and deep learning techniques: analysis and comparison

Replay-Attack Detection and Prevention Mechanism in Industry 4.0 Landscape for Secure SECS/GEM Communications

Proposed security mechanism for preventing fake router advertisement attack in IPv6 link-local network

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