{"id":8394,"date":"2021-05-19T10:45:24","date_gmt":"2021-05-19T08:45:24","guid":{"rendered":"https:\/\/autoklastr.cz\/?p=8394"},"modified":"2021-05-20T10:46:24","modified_gmt":"2021-05-20T08:46:24","slug":"system-kaspersky-odhaluje-chyby-ve-vyrobe","status":"publish","type":"post","link":"https:\/\/autoklastr.cz\/cs\/system-kaspersky-odhaluje-chyby-ve-vyrobe\/","title":{"rendered":"Syst\u00e9m Kaspersky odhaluje chyby ve v\u00fdrob\u011b"},"content":{"rendered":"

Jak zabr\u00e1nit ne\u010dekan\u00fdm v\u00fdpadk\u016fm pr\u016fmyslov\u00fdch v\u00fdrobn\u00edch syst\u00e9m\u016f a p\u0159edej\u00edt \u0161kod\u00e1m zp\u016fsoben\u00fdm zastavenou v\u00fdrobou? Bezpe\u010dnostn\u00ed spole\u010dnost Kaspersky uv\u00e1d\u00ed na b\u011b\u017en\u00fd trh sv\u016fj syst\u00e9m strojov\u00e9ho u\u010den\u00ed Kaspersky Machine Learning for Anomaly Detection zam\u011b\u0159en\u00fd na odhalov\u00e1n\u00ed chyb ve v\u00fdrobn\u00edch procesech v jejich nejran\u011bj\u0161\u00edm stadiu.<\/strong><\/span><\/p>\n

Detektor chyb je vybaven algoritmy, kter\u00e9 analyzuj\u00ed telemetrii ze strojov\u00fdch senzor\u016f. Na hroz\u00edc\u00ed selh\u00e1n\u00ed syst\u00e9m\u016f upozorn\u00ed u\u017e ve chv\u00edli, kdy parametry (tagy) v\u00fdrobn\u00edho procesu vyk\u00e1\u017eou prvn\u00ed zn\u00e1mky neo\u010dek\u00e1van\u00e9ho chov\u00e1n\u00ed. Sou\u010d\u00e1st\u00ed syst\u00e9mu je grafick\u00e9 u\u017eivatelsk\u00e9 rozhran\u00ed se spoustou funkc\u00ed, kter\u00e9 slou\u017e\u00ed detailn\u00ed anal\u00fdze zji\u0161t\u011bn\u00fdch anom\u00e1li\u00ed, a tak\u00e9 n\u00e1stroje umo\u017e\u0148uj\u00edc\u00ed integrovat produkt do st\u00e1vaj\u00edc\u00edch softwarov\u00fdch syst\u00e9m\u016f pou\u017e\u00edvan\u00fdch ve v\u00fdrob\u011b.<\/p>\n

S ohledem na posledn\u00ed ud\u00e1losti spojen\u00e9 s \u00fatokem na americkou rozvodnou s\u00ed\u0165 paliva Colonial Pipeline, \u0159e\u0161\u00ed pr\u016fmyslov\u00e9 podniky, jak zabezpe\u010dit svoji \u010dinnost p\u0159ed kybernetick\u00fdmi \u00fatoky. Kaspersky proto uv\u00e1d\u00ed Kaspersky Machine Learning for Anomaly Detection, syst\u00e9m, kter\u00fd pom\u00e1h\u00e1 chr\u00e1nit pr\u016fmyslov\u00e9 kontroln\u00ed syst\u00e9my (ICS). Podle pr\u016fzkumu spole\u010dnosti Kaspersky jsou zrovna dodavatel\u00e9 paliv jednou z nejohro\u017een\u011bj\u0161\u00edch skupin. B\u011bhem prvn\u00edho \u010dtvrtlet\u00ed tohoto roku zaznamenalo \u00fatok na ICS na 32,7 % firem z oblasti distribuce paliv, 26,6 % pak pr\u016fmyslov\u00fdch podnik\u016f celkov\u011b. V oblasti pr\u016fmyslu \u00fato\u010dn\u00edci \u2013 krom\u011b distribuce paliv \u2013 c\u00edl\u00ed tak\u00e9 na pr\u016fmyslovou v\u00fdrobu, dodavatele energie, d\u016fln\u00ed spole\u010dnosti, chemick\u00e9 a potravin\u00e1\u0159sk\u00e9 firmy.<\/p>\n

Aby nemusela v\u00fdroba st\u00e1t a firma nep\u0159ich\u00e1zela o pen\u00edze<\/strong><\/p>\n

Krom\u011b ochrany p\u0159ed kybernetick\u00fdmi \u00fatoky z\u00e1le\u017e\u00ed v pr\u016fmyslov\u00fdch provozech tak\u00e9 na optim\u00e1ln\u00edm chodu technologick\u00fdch proces\u016f, ani\u017e by se jakkoli p\u0159eru\u0161ily. Mezi z\u00e1va\u017en\u00e9 probl\u00e9my pat\u0159\u00ed selh\u00e1n\u00ed technologi\u00ed, chyby obsluhy nebo kybernetick\u00e9 \u00fatoky na ovl\u00e1dac\u00ed syst\u00e9my. Kdy\u017e se n\u011bco pokaz\u00ed, je velmi d\u016fle\u017eit\u00e9 p\u0159ij\u00edt na probl\u00e9m co nejd\u0159\u00edve. T\u00edm se v\u00fdrazn\u011b sni\u017euj\u00ed n\u00e1klady zp\u016fsoben\u00e9 del\u0161\u00ed odst\u00e1vkou, tolilk se nepl\u00fdtv\u00e1 materi\u00e1lem a zabr\u00e1n\u00ed se i dal\u0161\u00edm neblah\u00fdm d\u016fsledk\u016fm. Podle odhad\u016f spole\u010dnosti Kaspersky znamen\u00e1 zkr\u00e1cen\u00ed odst\u00e1vek velk\u00e9 elektr\u00e1rny na polovinu ro\u010dn\u00ed \u00faspory ve v\u00fd\u0161i milionu dolar\u016f nebo 2,5 milionu u ropn\u00e9 rafinerie.<\/p>\n

Neuronov\u00e1 s\u00ed\u0165, na n\u00ed\u017e je syst\u00e9m Kaspersky Machine Learning for Anomaly Detection postaven, analyzuje telemetrii z r\u016fzn\u00fdch senzor\u016f pou\u017e\u00edvan\u00fdch ve v\u00fdrobn\u00edm procesu v re\u00e1ln\u00e9m \u010dase. Dok\u00e1\u017ee odhalit i nepatrn\u00e9 odchylky, nap\u0159\u00edklad zm\u011bny v dynamice sign\u00e1lu nebo v korelac\u00edch, a varuje u\u017eivatele d\u00e1vno p\u0159edt\u00edm, ne\u017e hodnoty dos\u00e1hnou prahov\u00e9ho stavu a za\u010dnou ovliv\u0148ovat v\u00fdkon za\u0159\u00edzen\u00ed. Obsluha t\u00edm p\u00e1dem m\u016f\u017ee p\u0159istoupit k preventivn\u00edm akc\u00edm. Aby byla neuronov\u00e1 s\u00ed\u0165 schopn\u00e1 anom\u00e1lie detekovat, mus\u00ed se nau\u010dit, jak za\u0159\u00edzen\u00ed funguje norm\u00e1ln\u011b \u2013 k tomu slou\u017e\u00ed historick\u00e1 telemetrick\u00e1 data. Pokud se n\u011bkter\u00fd z parametr\u016f v\u00fdrobn\u00edho procesu zm\u011bn\u00ed (nap\u0159. za\u010dne-li se pou\u017e\u00edvat nov\u00fd typ v\u00fdchoz\u00edho materi\u00e1lu) nebo pokud se vym\u011bn\u00ed \u010d\u00e1sti za\u0159\u00edzen\u00ed, m\u016f\u017ee oper\u00e1tor spustit proces strojov\u00e9ho u\u010den\u00ed znovu, a neuronovou s\u00ed\u0165 tak aktualizovat. Krom\u011b vlastn\u00edho detektoru zalo\u017een\u00e9ho na technologii strojov\u00e9ho u\u010den\u00ed lze do v\u00fdbavy na po\u017e\u00e1d\u00e1n\u00ed p\u0159idat i nastaviteln\u00e1 diagnostick\u00e1 pravidla pro speci\u00e1ln\u00ed p\u0159\u00edpady.<\/p>\n

Monitorovac\u00ed syst\u00e9m nevy\u017eaduje instalaci speci\u00e1ln\u00edch senzor\u016f<\/strong><\/p>\n

Syst\u00e9m Kaspersky MLAD funguje v r\u00e1mci st\u00e1vaj\u00edc\u00ed tov\u00e1rn\u00ed infrastruktury a nevy\u017eaduje instalaci speci\u00e1ln\u00edch senzor\u016f. Kv\u016fli z\u00edsk\u00e1n\u00ed dat a hl\u00e1\u0161en\u00ed anom\u00e1li\u00ed se syst\u00e9m p\u0159ipojuje k pr\u016fmyslov\u00fdm ovl\u00e1dac\u00edm syst\u00e9m\u016fm (nap\u0159. SCADA). Jinou mo\u017enost\u00ed je integrace do syst\u00e9mu Kaspersky Industrial CyberSecurity for Networks. Samoz\u0159ejmost\u00ed je podpora obl\u00edben\u00fdch protokol\u016f OPC UA, MQTT \u010di AMQP, p\u0159\u00edpadn\u011b REST, co\u017e znamen\u00e1, \u017ee je syst\u00e9m kompatibiln\u00ed s r\u016fzn\u00fdmi typy vybaven\u00ed.<\/p>\n

Anal\u00fdzu detekovan\u00fdch anom\u00e1li\u00ed zobrazuje Kaspersky MLAD v grafick\u00e9m u\u017eivatelsk\u00e9m rozhran\u00ed. D\u00edky vizualizovan\u00e9 \u010dasov\u00e9 ose v\u0161ech monitorovan\u00fdch proces\u016f dok\u00e1\u017ee zku\u0161en\u00e9 oko experta rychle odhalit, co, kdy a v jak\u00e9 \u010d\u00e1sti syst\u00e9mu se pokazilo.<\/p>\n

\"\"<\/p>\n

U\u017eivatelsk\u00e9 rozhran\u00ed syst\u00e9mu Kaspersky Machine Learning for Anomaly Detection: report ukazuje, jak se parametry v\u00fdrobn\u00edho procesu m\u011bn\u00ed v re\u00e1ln\u00e9m \u010dase a detekuje jak\u00e9koli anom\u00e1lie (zde v doln\u00edm grafu)<\/em><\/p>\n

\u201eD\u00edky pokro\u010dil\u00fdm algoritm\u016fm strojov\u00e9ho u\u010den\u00ed a schopnosti adaptace na r\u016fzn\u00e9 v\u00fdrobn\u00ed procesy je syst\u00e9m Kaspersky Machine Learning for Anomaly Detection vynikaj\u00edc\u00edm n\u00e1strojem pro zaji\u0161t\u011bn\u00ed bezprobl\u00e9mov\u00e9 v\u00fdroby. N\u00e1stroj dopl\u0148uje v\u00fdrobn\u00ed syst\u00e9my a nab\u00edz\u00ed provozovatel\u016fm mo\u017enost detekovat anom\u00e1lie v komplikovan\u00e9m prost\u0159ed\u00ed. A\u0165 u\u017e probl\u00e9my zp\u016fsobuje cokoli, lze d\u00edky v\u010dasn\u00e9mu varov\u00e1n\u00ed omezit dobu odst\u00e1vek, sn\u00ed\u017eit riziko v\u00fdpadk\u016f a p\u0159edch\u00e1zet v\u00e1\u017en\u00fdm probl\u00e9m\u016fm. Tuto technologii vyv\u00edj\u00edme n\u011bkolik let a dnes s radost\u00ed oznamujeme, \u017ee hotov\u00fd n\u00e1stroj uvol\u0148ujeme k b\u011b\u017en\u00e9mu komer\u010dn\u00edmu vyu\u017eit\u00ed,\u201c<\/em>\u00a0komentuje\u00a0Andrej Lavrentijev<\/strong>, \u0159editel odd\u011blen\u00ed technologick\u00e9ho v\u00fdvoje spole\u010dnosti Kaspersky.<\/p>\n

Dal\u0161\u00ed informace o syst\u00e9mu Kaspersky Machine Learning for Anomaly Detection najdete na str\u00e1nce\u00a0https:\/\/mlad.kaspersky.com<\/a>.<\/p>\n

Zdroj: automakers.cz<\/p>\n","protected":false},"excerpt":{"rendered":"

Jak zabr\u00e1nit ne\u010dekan\u00fdm v\u00fdpadk\u016fm pr\u016fmyslov\u00fdch v\u00fdrobn\u00edch syst\u00e9m\u016f a p\u0159edej\u00edt \u0161kod\u00e1m zp\u016fsoben\u00fdm zastavenou v\u00fdrobou? Bezpe\u010dnostn\u00ed spole\u010dnost Kaspersky uv\u00e1d\u00ed na b\u011b\u017en\u00fd trh sv\u016fj syst\u00e9m strojov\u00e9ho u\u010den\u00ed Kaspersky Machine Learning for Anomaly Detection zam\u011b\u0159en\u00fd na odhalov\u00e1n\u00ed chyb ve v\u00fdrobn\u00edch procesech v jejich nejran\u011bj\u0161\u00edm stadiu. Detektor chyb je vybaven algoritmy, kter\u00e9 analyzuj\u00ed telemetrii ze strojov\u00fdch senzor\u016f. Na hroz\u00edc\u00ed selh\u00e1n\u00ed […]<\/p>\n","protected":false},"author":4,"featured_media":8395,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"kategorie_prispevku":[],"acf":[],"yoast_head":"\nSyst\u00e9m Kaspersky odhaluje chyby ve v\u00fdrob\u011b | Autoklastr<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/autoklastr.cz\/en\/system-kaspersky-odhaluje-chyby-ve-vyrobe\/\" \/>\n<meta property=\"og:locale\" content=\"cs_CZ\" \/>\n<meta property=\"og:locale:alternate\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Syst\u00e9m Kaspersky odhaluje chyby ve v\u00fdrob\u011b\" \/>\n<meta property=\"og:description\" content=\"Jak zabr\u00e1nit ne\u010dekan\u00fdm v\u00fdpadk\u016fm pr\u016fmyslov\u00fdch v\u00fdrobn\u00edch syst\u00e9m\u016f a p\u0159edej\u00edt \u0161kod\u00e1m zp\u016fsoben\u00fdm zastavenou v\u00fdrobou? Bezpe\u010dnostn\u00ed spole\u010dnost Kaspersky uv\u00e1d\u00ed na b\u011b\u017en\u00fd trh sv\u016fj syst\u00e9m strojov\u00e9ho u\u010den\u00ed Kaspersky Machine Learning for Anomaly Detection zam\u011b\u0159en\u00fd na odhalov\u00e1n\u00ed chyb ve v\u00fdrobn\u00edch procesech v jejich nejran\u011bj\u0161\u00edm stadiu. Detektor chyb je vybaven algoritmy, kter\u00e9 analyzuj\u00ed telemetrii ze strojov\u00fdch senzor\u016f. 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