{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":3,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":54,"n_cols":5,"rows_kept":54,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[3,2,3,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[10,2,10,3],[10,4,10,5],[11,2,11,3],[11,4,11,5],[12,2,12,3],[14,2,14,3],[15,2,15,3],[16,2,16,3],[17,2,17,3],[18,2,18,3],[20,2,20,3],[21,2,21,3],[23,2,23,3],[29,2,29,3],[29,4,29,5],[30,2,30,3],[30,4,30,5],[31,2,31,3],[32,2,32,3],[39,2,39,3],[40,2,40,3],[41,2,41,3],[42,2,42,3],[43,2,43,3],[46,2,46,3],[47,2,47,3],[51,2,51,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNISALENTO991001846409707536"]
[null,null,"Titolo",null,"L'archivistica alle soglie del 2000 : atti della Conferenza internazionale : Macerata, 3-8 settembre 1990"]
[null,null,"Pubbl/distr/stampa",null,"[Roma] : Ministero per i beni culturali e ambientali, Ufficio centrale per i beni archivistici, 1992"]
[null,null,"ISBN",null,"8876631232"]
[null,null,"Descrizione fisica",null,"354 p. ; 24 cm."]
[null,null,"Collana",null,"Pubblicazioni degli archivi di Stato. Saggi ; 24"]
[null,null,"Soggetti",null,"Archivistica - Congressi"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNISA996464514303316"]
[null,null,"Titolo",null,"Android malware detection using machine learning : data-driven fingerprinting and threat intelligence / / ElMouatez Billah Karbab [and three others]"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2021]"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"3-030-74664-X"]
[null,null,"Descrizione fisica",null,"1 online resource (212 pages)"]
[null,null,"Collana",null,"Advances in Information Security ; ; v.86"]
[null,null,"Disciplina",null,"005.8"]
[null,null,"Soggetti",null,"Malware (Computer software) - Prevention"]
[{"$nulls":4},"Computer security - Standards"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Contents -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Motivations -- 1.2 Objectives -- 1.3 Research Contributions -- 1.4 Book Organization -- References -- 2 Background and Related Work -- 2.1 Background -- 2.1.1 Android OS Overview -- 2.1.1.1 Android Apk Format -- 2.1.1.2 Android Markets -- 2.1.2 Android Security -- 2.1.2.1 Android Security Threats -- 2.1.2.2 Design Challenges of Malware Detection Systems -- 2.2 Android Malware Detection Overview -- 2.3 Taxonomy of Android Malware Detection Systems -- 2.3.1 Malware Threats -- 2.3.2 Detection System Deployment -- 2.4 Performance Criteria for Malware Detection -- 2.4.1 Feature Selection -- 2.4.2 Detection Strategy -- 2.5 General Malware Threat Detection -- 2.5.1 Workstation-Based Solutions -- 2.5.2 Mobile-Based Solutions -- 2.5.3 Hybrid Solutions -- 2.5.4 Discussions -- 2.6 Specific Malware Threat Detection -- 2.6.1 Workstation-Based Solutions -- 2.6.2 Mobile-Based Solutions -- 2.6.3 Hybrid Solutions -- 2.6.4 Discussions -- 2.7 Android Malware Detection Helpers -- 2.7.1 Discussions -- 2.8 Summary -- References -- 3 Fingerprinting Android Malware Packages -- 3.1 Approximate Static Fingerprint -- 3.1.1 Fingerprint Structure -- 3.1.2 Fingerprints Generation -- 3.1.2.1 N-grams -- 3.1.2.2 Feature Hashing -- 3.1.2.3 Fingerprint Computation Process -- 3.1.2.4 Compute Fingerprints Similarity -- 3.2 Malware Detection Framework -- 3.2.1 Peer-Fingerprint Voting -- 3.2.2 Peer-Matching -- 3.2.2.1 Family-Fingerprinting -- 3.3 Experimental Results "]
[{"$nulls":4},"-- 3.3.1 Testing Setup -- 3.3.2 Evaluation Results -- 3.3.2.1 Family-Fingerprinting Results -- 3.3.2.2 Peer-Matching Results -- 3.3.2.3 Peer-Voting vs Merged Fingerprints -- 3.3.3 Discussion -- 3.4 Summary -- References -- 4 Robust Android Malicious Community Fingerprinting -- 4.1 Threat Model -- 4.2 Usage Scenarios -- 4.3 Clustering Process."]
[{"$nulls":4},"4.4 Static Features -- 4.4.1 N-grams -- 4.4.1.1 Classes.dex Byte N-grams -- 4.4.1.2 Assembly Opcodes N-grams -- 4.4.2 Native Library N-grams -- 4.4.2.1 APK N-grams -- 4.4.3 Manifest File Features -- 4.4.4 Android API Calls -- 4.4.5 Resources -- 4.4.6 APK Content Types -- 4.4.7 Feature Preprocessing -- 4.5 LSH Similarity Computation -- 4.6 Community Detection -- 4.7 Community Fingerprint -- 4.8 Experimental Results -- 4.8.1 Dataset and Test Setup -- 4.8.1.1 App Detection Metrics -- 4.8.1.2 Community Detection Metrics -- 4.8.2 Mixed Dataset Results -- 4.8.3 Results of Malware-Only Datasets -- 4.8.4 Community Fingerprint Results -- 4.9 Hyper-Parameter Analyses -- 4.9.1 Purity Analysis -- 4.9.2 Coverage Analysis -- 4.9.3 Number of Communities Analysis -- 4.9.4 Efficiency Analysis -- 4.10 Case Study: Recall and Precision Settings -- 4.11 Case Study: Obfuscation -- 4.12 Summary -- References -- 5 Android Malware Fingerprinting Using Dynamic Analysis -- 5.1 Threat Model -- 5.2 Overview -- 5.2.1 Notation -- 5.3 Methodology -- 5.3.1 Behavioral Reports Generation -- 5.3.2 Report Vectorization -- 5.3.3 Build Models -- 5.3.4 Ensemble Composition -- 5.3.5 Ensemble Prediction Process -- 5.4 MalDy Framework -- 5.4.1 Machine Learning Algorithms -- 5.5 Evaluation Results -- 5.5.1 Evaluation Datasets -- 5.5.2 Effectiveness -- 5.5.2.1 Classifier Effect -- 5.5.2.2 Effect of the Vectorization Technique -- 5.5.2.3 Effect of Tuning Hyper-Parameters -- 5.5.3 Portability -- 5.5.3.1 MalDy on Win32 Malware -- 5.5.3.2 MalDy Train Dataset Size -- 5.5.4 Efficiency -- 5.6 Summary -- References -- 6 Fingerprinting Cyber-Infrastructures of Android Malware -- 6.1 Threat Model -- 6.2 Usage Scenarios -- 6.3 Methodology -- 6.3.1 Threat Communities Detection -- 6.3.2 Action Prioritization -- 6.3.2.1 PageRank Algorithm -- 6.3.3 Security Correlation."]
[{"$nulls":4},"6.3.3.1 Network Enrichment Using Passive DNS -- 6.3.3.2 Threat Network Tagging -- 6.4 Experimental Results -- 6.4.1 Android Malware Dataset -- 6.4.2 Implementation -- 6.4.3 Drebin Threat Network -- 6.4.4 Family Threat Networks -- 6.5 Summary -- References -- 7 Portable Supervised Malware Fingerprinting Using Deep Learning -- 7.1 Threat Model -- 7.2 Usage Scenarios -- 7.3 Methodology -- 7.3.1 MalDozer Method Embedding -- 7.3.2 MalDozer Neural Network -- 7.3.3 Implementation -- 7.4 Evaluation -- 7.4.1 Datasets -- 7.4.2 Malware Detection Performance -- 7.4.2.1 Unknown Malware Detection -- 7.4.2.2 Resiliency Against API Evolution Over Time -- 7.4.2.3 Resiliency Against Changing the Order of API Methods -- 7.4.3 Family Attribution Performance -- 7.4.4 Runtime Performance -- 7.4.4.1 Model Complexity Evaluation -- 7.5 Summary -- References -- 8 Resilient and Adaptive Android Malware Fingerprinting and Detection -- 8.1 Methodology -- 8.1.1 Approach -- 8.1.2 Android App Representation -- 8.1.3 Malware Detection -- 8.1.3.1 Fragment Detection -- 8.1.3.2 Inst2Vec Embedding -- 8.1.3.3 Classification Model -- 8.1.3.4 Dataset Notation -- 8.1.3.5 Detection Ensemble -- 8.1.3.6 Confidence Analysis -- 8.1.3.7 PetaDroid Adaptation Mechanism -- 8.1.4 Malware Clustering -- 8.1.4.1 InstNGram2Vec -- 8.1.4.2 Deep Neural Auto-Encoder and Digest Generation -- 8.1.4.3 Malware Family Clustering -- 8.1.5 Implementation -- 8.2 Evaluation -- 8.2.1 Android Dataset -- 8.2.2 Malware Detection -- 8.2.2.1 Detection Performance -- 8.2.2.2 Dataset Size Effect -- 8.2.2.3 "]
[{"$nulls":4},"Ensemble Size Effect -- 8.2.3 Family Clustering -- 8.2.4 Obfuscation Resiliency -- 8.2.5 Change Over Time Resiliency -- 8.2.6 PetaDroid Automatic Adaptation -- 8.2.7 Efficiency -- 8.3 Comparative Study -- 8.3.1 Detection Performance Comparison -- 8.3.2 Efficiency Comparison -- 8.3.3 Time Resiliency Comparison."]
[{"$nulls":4},"8.4 Case Studies -- 8.4.1 Scalable Detection -- 8.4.2 Scalable Automatic Adaptation -- 8.5 Summary -- References -- 9 Conclusion -- 9.1 Concluding Remarks -- 9.2 Lessons Learned -- 9.3 Future Research Directions -- References -- Index."]
[null,"3.","Record Nr.",null,"UNINA9910969541703321"]
[null,null,"Titolo",null,"Gender in interaction : perspectives on femininity and masculinity in ethnography and discourse / / edited by Bettina Baron, Helga Kotthoff"]
[null,null,"Pubbl/distr/stampa",null,"Amsterdam ; ; Philadelphia, : John Benjamins Pub., c2001"]
[null,null,"ISBN",null,"9786612254550"]
[{"$nulls":4},"9781282254558"]
[{"$nulls":4},"1282254553"]
[{"$nulls":4},"9789027297419"]
[{"$nulls":4},"902729741X"]
[{"$nulls":4},"9780585462561"]
[{"$nulls":4},"0585462569"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"xxiv, 352 p"]
[null,null,"Collana",null,"Gender & beyond, , 0922-842X ; ; new ser., v. 93"]
[null,null,"Disciplina",null,"305.3"]
[null,null,"Soggetti",null,"Social interaction"]
[{"$nulls":4},"Sex role"]
[{"$nulls":4},"Communication - Sex differences"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and indexes."]
[null,null,"Nota di contenuto",null,"Gender in Interaction -- Editorial page -- Title page -- LCC data -- Dedication -- Table of contents -- Preface -- Part I: Introduction -- Gender and interaction -- Part II: Perspectives on gender in childhood and adolescence -- Girls' oppositional stances -- Constituting the emotions -- Notably gendered relations -- Far from sugar and spice -- Part III: Perspectives on masculinity -- Masculinities and men's health -- Gender and habitus -- \"Male honor\" -- Part IV: Perspectives on femininity -- Arguing among scholars -- Academic women in the male university field -- Gender, emotion, and poeticity in Georgian mourning rituals -- Theorizing gender -- Subject index -- Pragmatics and Beyond New Series."]
[null,null,null,"Sommario/riassunto","In this volume, gender is seen as a communicative achievement and as a social category interacting with other social parametres such as age, status, prestige, institutional and ethnic frameworks, cultural and situative contexts. The authors come from a variety of backgrounds such as sociology of communication, anthropological linguistics, sociolinguistics, social psychology, and text linguistics. Masculinity and "]
[{"$nulls":4},"femininity are conceived of as varying culturally, historically and contextually. All contributions discuss empirical research of communication and the question of whether (and how) gender is a salient variable in discourse. So, one aim of the book is to trace the varying relevance of gender in interaction. Emotion politics, ideology, body concepts, and speech styles are related to ethnographic description of the contexts within which communication takes place. These contexts range from private to public communication, and from mixed-sex to same-sex conversations framed by different cultural backgrounds (Australian, German, Georgian, Turkish, US-American)."]