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1. |
Record Nr. |
UNISA996394043803316 |
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Autore |
Saintliger W (William), , Sir, <d. 1642.> |
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Titolo |
Joyfull and happy news from Iredand [sic] [[electronic resource] ] : being an exact relation of a great victory obtained against the grand army of the rebels on Tuesday Feb. 7, 1642, at a towne called by the name of Roscolleth neere Longford : in which battaile there were slain above 2500 of the rebels and but 3 of the English onely many wounded : the names of the English commanders were these : Sir Rich. Greenvill, Cor. Emely, Lieuten. Cor. Sherlock, Lieuten. Cor. Gibs, Ser. Maj. Sherman, Ser. Maj. Ashkey, &c. : the names of the Irish commanders : Ser. Maj. Preston, Cor. Fits Gerrat, Cor. More, Cor. Tirrell, Cor. Philip Onelly, and Lord Trimnelstowne : the names of the Irish commanders that were slain in the battail : Coronel Plunket, Captaine Brian, Sir Tho. Nugent, Captain John Nugent, Cap. Adascalle, a Parliament man, Cap. Roger Davies, with eleven colours, and many prisoners |
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Pubbl/distr/stampa |
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London, : Printed for Edw. Blackmore, 1643 |
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Descrizione fisica |
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Soggetti |
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Ireland History Rebellion of 1641 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Attributed to William Saintliger. cf. BLC. |
Reproduction of original in Thomason Collection, British Library. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9910568278803321 |
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Titolo |
Advances in Nature-Inspired Cyber Security and Resilience / / edited by Shishir Kumar Shandilya, Neal Wagner, V.B. Gupta, Atulya K. Nagar |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (194 pages) |
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Collana |
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EAI/Springer Innovations in Communication and Computing, , 2522-8609 |
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Disciplina |
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Soggetti |
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Telecommunication |
Computational intelligence |
Artificial intelligence |
Dynamics |
Nonlinear theories |
Data protection |
Communications Engineering, Networks |
Computational Intelligence |
Artificial Intelligence |
Applied Dynamical Systems |
Data and Information Security |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Nature-inspired Cyber Security and Resilience: An Overview -- Detection of Reconnaissance Attacks on IoT Devices Using Deep Neural Networks -- Particle Swarm Optimization driven DSE based Low Cost Hardware Security for Securing DSP IP Cores -- Malicious Activity Detection in IoT Networks: A Nature-Inspired Approach -- Nature-inspired malware & anomaly detection in android-based systems -- A Review of Artificial Intelligence and Machine Learning Methods for Cybersecurity Applications -- A Nature Inspired DNA Encoding |
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Technique for Quantum Session Key Exchange Protocol -- Novel Hybridized Crow Optimization for Secure Data Transmission in Cyber Networks -- Malware attacks: Dimensions, Impact, and Defenses. |
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Sommario/riassunto |
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This book presents a comprehensive reference source for dynamic and innovative research in the field of cyber security, focusing on nature-inspired research and applications. The authors present the design and development of future-ready cyber security measures, providing a critical and descriptive examination of all facets of cyber security with a special focus on recent technologies and applications. The book showcases the advanced defensive cyber security mechanism that is a requirement in the industry and highlights measures that provide efficient and fast solutions. The authors explore the potential of AI-based and nature-inspired based computing compatibilities in establishing an adaptive defense mechanism system. The book focuses on current research while highlighting the empirical results along with theoretical concepts to provide a reference for students, researchers, scholars, professionals, and practitioners in the field of cyber security and analytics. This book features contributions from leading scholars from all over the world. Presents a comprehensive reference for innovative research in the field of cyber security and resilience with a nature-inspired focus; Presents research in artificial intelligence, machine learning, soft computing, and nature-inspired computing that can advance real-time cyber security applications; Relevant to industry professionals and researchers in cyber-security. |
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3. |
Record Nr. |
UNINA9910983343803321 |
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Autore |
Aiello Luca Maria |
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Titolo |
Social Networks Analysis and Mining : 16th International Conference, ASONAM 2024, Rende, Italy, September 2–5, 2024, Proceedings, Part II / / edited by Luca Maria Aiello, Tanmoy Chakraborty, Sabrina Gaito |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (581 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 15212 |
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Altri autori (Persone) |
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ChakrabortyTanmoy |
GaitoSabrina |
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Disciplina |
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Soggetti |
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Application software |
Quantitative research |
Natural language processing (Computer science) |
Machine learning |
Computer and Information Systems Applications |
Data Analysis and Big Data |
Natural Language Processing (NLP) |
Machine Learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This LNCS conference 4-volume set constitutes the proceedings of the 16th International Conference on Social Networks Analysis and Mining, ASONAM 2024, in Rende, Italy, during September 2–5, 2024. The 33 full papers together with 36 short papers included in this volume were carefully reviewed and selected from 167 submissions. The conference covers a wide spectrum of research contributions to the foundations and applications of social networks. |
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