Intelligent home automation security system based on novel logical sensing and behaviour prediction

Abstract

English: The thesis, Intelligent Home Automation Security System Based on Novel Logical Sensing and Behavior Prediction, was designed to enhance authentication, authorization and security in smart home devices and services. The work proposes a three prong defensive strategy each of which are analyzed and evaluated separately to drastically improve security. The Device Fingerprinting techniques proposed, not only improves the existing approaches but also identifies the physical device accessing the home cybernetic and mechatronic systems using device specific and browser specific parameters. The Logical Sensing process analyses home inhabitant actions from a logical stand point and develops sophisticated and novel sensing techniques to identify intrusion attempts to a home’s physical and cyber space. Novel Behavior prediction methodology utilizes Bayesian networks to learn normal user behavior which is later compared to distinguish and identify suspicious user behaviors in the home in a timely manner. The logical sensing, behavior prediction and device fingerprinting techniques proposed were successfully tested, evaluated and verified in an actual home cyber physical system. The algorithms and techniques proposed in the thesis can be easily modified and adapted into many practical applications in Industrial Internet of Things, Industry 4.0 and cyber-physical systems.

isiZulu: Umbhalo wocwaningo, Uhlelo Olukhaliphile Lwezokuphepha Lwasendlini Oluzenzakalelayo Olusekelwe Ukuzwa Kwenoveli Okunengqondo kanye Nesibikezelo Sokuziphatha, kwaklanyelwa ukuthuthukisa ukuqinisa, ukugunyaza kanye nokuphepha kwizinsizakusebenza ezihlakaniphile zasendlini. Umsebenzi uphakamisa isu lokuvikela eliyibhaxa elihlukene kathathu lapho elinye ngalinye lalo lihlaziywa futhi lihlolwa ngokuhlukana ukuthuthukisa ngamandla ezokuphepha. Amasu Ensizakusebenza Yesigxivizo somunwe aphakanyisiwe, awagcini nje kuphela ngokuthuthukisa izindlela ezikhona kodwa aphinde akhombe insizakusebenza ebambekayo engena ezinhlelweni zohleloxhumano ngekhompuyutha nomshinigesi yekhaya esebenzisa insizakusebenza ethize kanye namapharamitha esiphaqululi esithize. Inkambo Yokuzwa Enengqondo ihlaziya izenzo zokwakhile ekhaya ngokususela ekucabangeni okunengqondo bese kusombulukisa amasu ankimbinkimbi kanye namasu okuzwa kwenoveli ukukhomba imizamo yokungena ngokuphazamisa endaweni ebonakalayo neyohleloxhumano ngekhompuyutha yekhaya. Indlela yokwenza eyinoveli yesibikezelo sokuziphatha isebenzisa izinhleloxhumano ze-Bayesian ukufunda ukuziphatha komsebenzisi ojwayelekile ngokuhamba kwesikahthi kuqhathaniswe ukwehlukanisa nokukhomba ukuziphatha komsebenzisi okusolisayo ekhaya ngesikhathi esifanele. Ukuzwa okunengqondo, isibikezelo sokuziphatha kanye namasu ensizakusebenza yesigxivizo somunwe aphakanyisiwe ahloliwe ngokuyimpuelelo aphinde ahlolisiswa aqinisekiswa ohlelweni olubonakalayo lwezokuxhumana ngekhompuyutha ekhaya langempela. Izindlela zokwenza namasu aphakanyisiwe embhalweni wocwaningo angalolongwa kalula bese efaneliselwa ezinhlelwenikusebenza eziningi eMbonini Yezinto Zohleloxhumano lomhlaba, Imboni 4.0 kanye nezinhlelo zohleloxhumano ngekhompuyutha ezibonakalayo.

Afrikaans: Die proefskrif, Intelligente tuisoutomatisering sekuriteitstelsel gebaseer op nuwe logiese waarneming en gedragsvoorspelling, is ontwerp om verifikasie, magtiging en sekuriteit in slimhuistoestelle en -dienste te verbeter. Die werk stel 'n driepuntige verdedigingstrategie voor wat elk afsonderlik ontleed en geëvalueer word om sekuriteit drasties te verbeter. Die voorgestelde toestelvingerafdruktegnieke verbeter nie net die bestaande benaderings nie, maar identifiseer ook die fisiese toestel wat toegang tot die tuiskubernetiese en megatroniese stelsels deur toestelspesifieke en blaaierspesifieke parameters te gebruik. Die logiese waarnemingsproses ontleed huisbewoners se aksies vanuit 'n logiese oogpunt en ontwikkel gesofistikeerde en nuwe waarnemingstegnieke om indringingspogings tot 'n huis se fisiese en kuberruimte te identifiseer. Nuwe gedragsvoorspellingsmetodologie gebruik Bayesiaanse netwerke om normale gebruikersgedrag aan te leer wat later vergelyk word om verdagte gebruikersgedrag in die huis betyds te onderskei en te identifiseer. Die voorgestelde logiese waarneming, gedragsvoorspelling en toestelvingerafdruktegnieke is suksesvol getoets, geëvalueer en geverifieer in 'n werklike tuiskuberfisiese stelsel. Die algoritmes en tegnieke wat in die proefskrif voorgestel word, kan maklik verander en aangepas word in baie praktiese toepassings in die Industriële Internet van Dinge, Industrie 4.0 en kuberfisiese stelsels.

Sepedi: Thesese ye, Tshepedišo ya Tšhireletšo ya Mahlale ya go Itiriša ya gae ye e Theilwego godimo ga Novel Logical Sensing le Behavior Prediction, e hlamilwe go godiša netefatšo, tumelelo le tšhireletšo ka go didirišwa le ditirelo tša ka gae tše bohlale. Mošomo wo o šišinya leano la tšhireletšo la dintlha tše tharo tšeo ye nngwe le ye nngwe ya tšona e sekasekwago le go hlahlobja e nnoši go kaonafatša tšhireletšego ka maatla. Dithekniki tša Kgatišo ya Menwana ya Sedirišwa tšeo di šišintšwego, ga di no kaonafatša mekgwa ye e lego gona eupša gape di hlaola sedirišwa sa mmele seo se fihlelelago ditshepedišo tša saebanethiki tša ka gae le tša mechatronic ka go šomiša ditekanyetšo tše di itšego tša sedirišwa le tše di itšego tša sephephediši. Tshepetšo ye mpsha ya Logical Sensing e sekaseka ditiro tša badudi ba ka gae go tšwa ntlheng ya go ema ye e kwagalago gomme e hlabolla dithekniki tša go kwa tšeo di raraganego le tše mpsha go šupa maiteko a go tsena ka gae sebakeng sa mmele le sa sekgoba sa saeba. Mokgwa wa ponelopele ya Boitshwaro wo mofsa o šomiša dinetweke tša Bayesian go ithuta boitshwaro bjo bo tlwaelegilego bja modiriši bjoo ka morago bo bapetšwago go kgetholla le go hlaola maitshwaro a modiriši ao a belaetšago ka gae ka nako. Dithekniki tša go sensa ka mo go kwagalago, ponelopele ya boitshwaro le go gatiša menwana ga sedirišwa tšeo di šišintšwego di ile tša lekwa ka katlego, tša hlahlobja le go netefatšwa ka tshepedišong ya kgonthe ya mmele ya inthanete ya ka gae. Dialgorithemo le dithekniki tšeo di šišintšwego ka gare ga thesese di ka fetošwa gabonolo le go fetošwa go ditirišo tše ntši tše di šomago ka go Inthanete ya Dilo tša Intasteri, Intasteri 4.0 le ditshepedišo tša inthanete tša mmele.