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Malware authors usually use custom tools to automatically generate mutated or modified malware samples. And these samples are basically a collection of malware that has the same functionality but made to look different through obfuscation, the purpose of which is to evade static signature-based detection by security products. To illustrate, we analyzed different variants of the MAC. CallMe malware using the following samples:. In Figure 1, we noticed that all variants of the MAC.

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CallMe malware have had the same identical instruction sequences until a variation was introduced at instruction Even after this variation was introduced, parts of the instructions for samples 2 and 3 simply moved from the instructions for the rest of the samples. This shows us that the instruction sequences for these different MAC. CallMe variants remain very much alike.


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This proves that the program instruction sequence of malware samples is a vital component in identifying malware variants during outbreaks. An example of a malicious cluster detected by adversarial autoencoder with semantic hashing aae -sh is also discussed in our research paper, specifically, the model detected Flashback variants of different lengths but containing similar instruction sequences.

Our full paper also discusses how our proposed model captures the program instruction sequence in the presence of code transposition and integration metamorphism through adversarial autoencoder. Like it?

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Add this infographic to your site: 1. Click on the box below. Note: Each row represents a per-sample feature, which is a sequence of instructions of a malware sample. Each normalized instruction is rendered as a vertical bar with a unique color to differentiate between different instructions.

The X-axis represents the feature while the Y-axis represents the sample number.

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Visual analysis of three unique variants of MAC. Baeta-pele ba utloisisang sebaka sa lefats'e la rona la digital ba tseba hore ba tlameha ho kenyeletsa basebetsi ba bohlokoa ka ho fetisisa sekolong ka 1 ea bona: Tlhophiso ea 1 le ho etsa liqeto. Sehlopha sa barupeluoa ke liithuti. Ho tloha ho khetholla mochine o nepahetseng oa ho buella likopo, baeta-pele ba lokela ho mamela lentsoe la seithuti, hobane liithuti, qetellong, ke basebelisi ba qetello.

Seithuti sa rona-se matha Desk ea Thuso , ho etsisoa ka morao Sebaka sa Apple sa Genius , e phetha karolo ea bohlokoa moeeng oa thuto ea Richling o ruileng haholo.

Basebetsi ba liithuti, joalo ka ha re li bitsa, ba fumana tse ka sehloohong phihlelo ea thuto ea sebele ea lefats'e ha a ntse a fumana mokitlane bakeng sa thupelo ea thuto. Liithuti ke baeta-pele ba theknoloji le ho fana ka ts'ehetso ea theknoloji ea pele ho sechaba sa Burlington, ho kopanyelletsa le lithaka tsa bona, matichere, batsamaisi, basebetsi le batsoali. Ho hlahisa sehlopha sa theknoloji ea liithuti ho hloka lisebelisoa tse ngata.

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Qala ka ho ngola tlhaloso kapa kemiso ea lenaneo la hau. Etsa qeto ea hore na o tla fana ka Lefapha la Thuso e le phihlelo ea boithatelo kapa thuto ea thuto. Haeba e le eona ea morao-rao, latela melao-motheo e thehiloeng ke sekolo sa hau bakeng sa ho ntlafatsa lithuto tse ncha. Hang ha e amoheloa e le 'nete, mohato o latelang ke ho khetha morupeli kapa sehlopha sa mesuoe ho hlahisa thuto e thehiloeng melao-motheo.

Lefapha la Thuso la BHS ke karolo ea Lefapha la rona la Khoebo mme le thathamisitsoe lenaneong la rona la lithuto joaloka thupelo ea Bana ba Teknolojia ea ho Kopanya le ea ho Ntlafatsa.

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Ke sehlopha sa semester se selelele sa CP1 se nang le linyehelo tsa 2. Baithuti ba ka ngola selemo sa bona sa sophomore 'me ba nka li-semester tse' ne, kapa lilemo tse peli tse tletseng. Lefapha la Thuso le amana joang le lipakane le litekanyetso tsa thuto? Hobane ke sebaka sa ts'ebeletso, se lokela ho fapana le maemo a tloaelehileng a thuto ea likolo. Khetha sebaka se seholo se nang le ponahalo e phahameng e tla ba bonolo bakeng sa liithuti le matichere ho etela letsatsi lohle ho fumana lipotso tsa thekenoloji tsa bona. Hape u hloka ho etsa sebaka se loketseng ho sebelisana le ho phutholoha ho baithuti ba liithuti hammoho le mang kapa mang ea etelang.

BHS, Lefapha la Thuso le fumaneha ka morao la laebrari ea sekolo, sebaka se ka sehloohong sa thuto. Ho fumana liithuti tse nepahetseng bakeng sa lenane la Help Desk ke habohlokoa. Baithuti ba nang le takatso e tiileng ea ho thusa ba bang le boikemisetso hlahloba theknoloji e ncha ba khona ho atleha lenaneong la Help Desk. Batla batho ba nang le ts'oaetso ea kotsi ba nang le mathata a macha, ho rarolla bothata le ho laola mesebetsi e mengata.

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Liithuti tse thabelang ho ngola libuka, tlhahiso ea video ea multimedia le ho bua phatlalatsa le tsona li ntle. Liithuti tse nang le thahasello ho IT, li-networking, lenaneo la lik'homphieutha, papatso le khoebo e ka boela ea u thusa ho hlaolela sehlopha se matla. Burlington, liithuti li tlameha ho tlatsa kopo mme o tlameha ho buisana le litho tsa theknoloji ea thuto ea thuto ho kenngoa thutong. Hang ha re amoheloa lenaneong lena, re ba fa koetliso ka hardware ea ho rarolla mathata le lik'hamphani, ho ngolla bamameli ba lefats'e, ho theha likhatiso, ho thusa ho phatlalatsoa lipapatso le ho fana ka thuto e atlehang ea ho ruta sekolo.

Ho hira basebeletsi ba thuto e nepahetseng ho koetlisa baithuti ba Lefapha la Thuso ke ntlha e 'ngoe ea bohlokoa ho aha lenaneo la hau. Latela litlhoko tsa tumello ea tumello ea tikoloho ea hau ea hau ha u hira morupeli oa sehlopha sa lisebelisoa tsa lisebelisoa tsa liithuti.

Ke na le tumello ea molao boemong ba Massachusetts mekotleng ea bobeli le khoebo. Lefapha la Thuso le ka ba monyetla oa ho etsa barupeluoa balekane joang thupelong? Ba na le bokhoni ba bokhoni le tsebo e nang le lits'ebeletso tsa motheo tse kenyeletsang Google suite, Notability, iMovie, Dropbox le WordPress.

Tsebo ena ea theknoloji e ba nolofalletsa ho sebetsa e le barupeluoa ka ho ruta matichere machahano a macha bakeng sa mekhoa ea ho ruta le ho ithuta ka morero.


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