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7 articles for “malicious attacks”
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Network Intrusion Detection Using Wireshark and Machine Learning
Abstract: The growth of networked devices has highlighted the desire for advanced intrusion detection (IDS) tools to protect digital systems from evolving cyber threats. Traditional IDS systems are often difficult to adapt to the threat environment because they rely on predefined signature lists. This study presents a new approach that combines Wireshark, a widely used network packet analysis tool, with advanced machine learning for intrusion detection. Our system leverages Wireshark's data …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 23–31 Read article
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Advanced Power Grid
Abstract: The electric power transmission systems of tomorrow must incorporate advanced hardware and software technologies to increase reliable long-distance power transfer. While new hardware technologies can improve transmission system capabilities, software technologies are also needed to coordinate these hardware technologies safely, securely, and effectively. To prevent system failures, future transmission systems must integrate advanced hardware and software technologies across new and existing facilities, allow revolutionary improvements in power grid utilization, and …
Published in International Journal of Electrical Power System and Technology · Vol. 3, Issue 2, 2017 · pp. 16–22 Read article
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Knowing Captchas Using Deep Learning
Abstract: Websites can use CAPTCHA (Completely Automated Public Turing Test to Differentiate Computers from Humans) to distinguish between humans and machines and prevent automated attacks by programmers and malicious programmers. Studies on CAPTCHA recognition have the potential to uncover security flaws, advance CAPTCHA technology, and even advance handwriting and license plate recognition. However, the whole objective of the CAPTCHAs can be bypassed by utilizing the principles of deep learning and computer …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 2, 2022 · pp. 30–40 Read article
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Artificial Intelligence in Cyber Security
Abstract: Security isn't working. While security as a level of IT spend keeps on developing at a powerful rate, the expense of security breaks is becoming significantly quicker. Associations are spending near $100 billion on a bewildering cluster of security items. Truth be told, it isn't exceptional for CISO associations to have 30 to 40 security items in their condition. Be that as it may, in the event that you ask …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 1, 2019 · pp. 9–14 Read article
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Building a Secure IoT Ecosystem with TRNGs and VHDL
Abstract: Internet of Things (IoT), which links billions of devices and produces enormous volumes of data, is growing quickly. Although this interconnection offers previously unheard-of potential, it also poses a serious security risk. Robust cryptographic solutions are necessary to protect sensitive IoT data from malevolent actors, and True Random Number Generator(TRNG) is a dependable source of randomness at the core of these solutions. Despite their efficiency, traditional pseudo- random number generators(PRNGs) …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
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Securing the Edge with Artificial Intelligence, Cyber Defense: Privacy Protocols in Distributed Sensor Networks and Cloud–Fog Ecosystems
Abstract: In the rapidly developing distributed computing, edge devices, and Internet of Things (IoT) networks are propelling a revolution in intelligence and connection in today’s digital world. Low-latency compute, robust security measures, and privacy-preserving methods are being demanded by the vast number of connected devices and the enormous volume of real-time data they produce. Common and centralized cloud-based solutions are strong, but they use a large dispersed system to handle time-sensitive …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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A Comprehensive Review of AES-Integrated DWT Watermarking Techniques for Image and Video Authentication
Abstract: The exponential growth of digital media production, distribution, and online sharing has intensified the need for reliable mechanisms that ensure image and video authenticity. With the rise of advanced editing tools and deepfake technologies, safeguarding multimedia content from tampering, unauthorized replication, or malicious manipulation has become a critical research challenge. Traditional cryptographic solutions provide confidentiality but fail to maintain post-decryption integrity, whereas watermarking techniques ensure persistent ownership verification but often …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article