Iskanje po repozitoriju

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Opis: Dogodki se v tem modernem času intenzivno oglašujejo po spletu, zato sem sklenil poiskati spletno stran, ki bi ponujala večje število dogodkov oziroma več kategorij dogodkov, a sem bil nad ugotovitvijo, da primerne spletne strani ni, razočaran. Našel sem nekaj manjših in večjih spletnih strani, ki oglašujejo dogodke, vendar imajo zelo majhno število zbranih dogodkov ali pa jih imajo več, a samo za določene kategorije. Zato sem se odločil, da bom poskušal to težavo rešiti z izdelavo spletne strani, na kateri naj bi bili zbrani vsi dogodki iz Slovenije. Spletna stran bo z uporabo Googlovih zemljevidov prikazovala dogodke, ki bodo na zemljevidu označeni z markerji. Dogodki bodo ločeni po kategorijah, vsako kategorijo pa bo zaradi lažje razpoznavnosti označeval drugačen marker. Vsak, ki bi želel objaviti dogodek, se bo moral registrirati, vpisati podatke o dogodku, in že ga bo lahko objavil.
Najdeno v: osebi
Ključne besede: HTML, CSS, JavaScript, JQuery, SQL, AJAX, Jquery, programski jeziki, najdi dogodek, spletna stran, spletno oglaševanje, oblikovanje spletne strani, varnost
Objavljeno: 22.08.2018; Ogledov: 2975; Prenosov: 152
Celotno besedilo (1,28 MB)

Opis: Povezava fizičnega in virtualnega sveta je danes nekaj običajnega. Razvoj informacijskokomunikacijskih tehnologij ima v kibernetskem prostoru velik pomen tudi z varnostnega vidika, saj se le-ta s priklopom vsake nove naprave v omrežje zmanjšuje. Pojav interneta stvari število teh naprav enormno zvišuje, hkrati pa prinaša povsem nove dimenzije varnostnih tveganj. V diplomskem delu sem proučevala pojav interneta stvari v povezavi s kibernetskimi grožnjami. Koncept interneta stvari in področja, kjer se ta pojavlja, vključno s kritično infrastrukturo, tehnologijo in tudi varnostimi tveganji, sem opisala v teoretičnem delu, kjer sem se hkrati navezala tudi na sam pomen kibernetskega prostora in groženj v njem, tako z vidika storilcev kot tudi motivov, metod in tehnik. Teoretični del sem podkrepila z intervjuji strokovnjakov z raziskovanega področja, kjer sem ugotavljala, kateri kibernetski napadi v povezavi z internetom stvari se že pojavljajo v sedanjosti in kaj lahko pričakujemo z motivi, posledicami in razsežnostmi v prihodnosti ter kateri so in bodo tisti najučinkovitejši varnostni ukrepi.
Najdeno v: osebi
Ključne besede: internet stvari, IOT, kibernetska kriminaliteta, kibernetski terorizem, kibernetsko bojevanje, grožnje, napadi, kritina infrastruktura, kibernetska varnost
Objavljeno: 24.08.2018; Ogledov: 3642; Prenosov: 239
Celotno besedilo (1,89 MB)

Opis: Diplomska naloga vsebuje predstavitev spletnega ribarjenja, ki spada v področje socialnega inženiringa. Opisan je potek napada, lastnosti in vrste napada. Napad se začne, ko napadalec preko elektronske pošte pošlje potencialnim žrtvam povezavo na lažno spletno stran in jih z manipulacijo prepriča, da vpišejo svoje osebne podatke. V primeru uspešnega napada moramo incident čim prej prijaviti SI-CERTU ali policiji. Pomembno je, da se o napadih izobražujemo in s tem zmanjšamo število uspešnih napadov in posledično zmanjšamo število žrtev napada.
Najdeno v: osebi
Ključne besede: spletno ribarjenje, socialni inženiring, elektronska pošta, SI-CERT, napad, osebni podatki
Objavljeno: 24.08.2018; Ogledov: 2694; Prenosov: 182
Celotno besedilo (854,99 KB)

Opis: Varnostno-informacijski sistemi so ključni pri izboljšanju varnosti, saj preprečujejo in odkrivajo nezaželeno vedenje in dejanja. V teoretičnem delu diplomske naloge so predstavljene teoretske podlage poznavanja računalniškega okolja z vsemi njegovimi tehničnimi lastnostni in njihovo funkcionalnostjo na področju varnostno-informacijskih sistemov in video nadzora. V drugem, empiričnem delu diplomske naloge je teorija nadgrajena s postavitvijo varnostno-informacijskega sistema video nadzora z obstoječimi računalniškimi komponentami na trgu, ki omogočajo nemoten nadzor varnostnega sistema, ki ga lahko uporabnik tudi sam implementira.
Najdeno v: osebi
Ključne besede: varnostni sistem, IP, omrežja, nadzorne kamere, software
Objavljeno: 30.11.2018; Ogledov: 3028; Prenosov: 242
Celotno besedilo (2,54 MB)

Opis: Complex systems are omnipresent in nature, society as well as in human culture. Last few decades saw an increase of interest for their study, particularly by using graph-theoretic methodologies. By identifying systems' units as nodes and modelling interactions between the units as links, the study of complex networks spread to a number of disciplines including sociology, biology and linguistics, to just mention a few. The research done in this doctoral dissertation falls in this context. The core of this doctoral work is the data-driven multilevel analysis of major human languages, which was done in two stages. First, we looked at the speed of growth of Wikipedias in 26 different languages over the span of 15 years. This involved creating and analysing a dataset with 14962 articles, each of which exists in all 26 languages. We found six well-defined clusters of Wikipedias that share common growth patterns, with their make-up robust against the method used for their determination. Interestingly, the identified clusters were found to have little correlation with the respective language families. Rather, our results suggest that growth of Wikipedias is primarily governed by an intricate set of other factors, from culture to information literacy. Second, to approach human languages at another independent level, we gathered a dataset comprising a list of syllables and a list of syllables words in 10 different languages, specifically: English, Dutch, German, Russian, Slovenian, Croatian, French, Spanish, Latin and Basque. These datasets were obtained from recognized repositories for each language and benchmarked in the same way. Syllable networks were created by looking at pairs of syllables that jointly compose at least one word. We then carried out a systematic network analysis, relying on both standard network analysis methods and more recent techniques, such as K-core analysis and graphlet statistics. Research revealed striking similarities between the architectures of syllable networks that belong to the same language family, along with expected differences between the families. Indeed, structures of syllable networks were found to well quantify the linguistic similarities among these 10 languages, exactly as known from classical linguistics. Most interestingly, we found that Basque language, whose classification is as of today still unknown, bares a strong resemblance to Latin, at least when syllable network representation is concerned. Earlier stages of this doctoral work involved comparing the performance of network alignment algorithms, used in bioinformatics for studying protein networks. Several alignment algorithms were compared by scoring their performance on standard protein datasets. It was found that three algorithms, HUBALIGN, L-GRAAL and NATALIE, regularly produce the most topologically and biologically coherent alignments. Due to the change of doctoral adviser, this research topic was abandoned in favour of language/syllable networks. In sum, this doctoral work involved two distinct directions of research in network science, one related to developing the methodology of network analysis (alignment algorithms), and the other devoted to extracting new information from specifically designed datasets (syllable networks). Therefore, the original contribution of this work to science includes both theory and methodology. Future research avenues include advancement along both directions, most interesting being the application of network alignment methods to syllable datasets, which could reveal more precise quantification of structural differences among syllable networks.
Najdeno v: osebi
Ključne besede: computational statistics, biostatistics, bioinformatics, machine learning, computational linguistics
Objavljeno: 21.12.2018; Ogledov: 3023; Prenosov: 136
Celotno besedilo (17,51 MB)